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Tag: Intel Corp.

  • 5 things to know before the stock market opens Monday

    5 things to know before the stock market opens Monday

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    Here are the most important news items that investors need to start their trading day:

    1. Bond yield boost

    U.S. stock futures slid Monday morning as the 10-year Treasury note yield again ticked above 5% — a level it hit Thursday for the first time since 2007. Earnings and inflation data will help to shape whether equities bounce back from a down week. The Dow Jones Industrial Average fell 1.6%, the S&P 500 dropped 2.4% and the Nasdaq Composite shed 3.2% last week. A string of major earnings reports are due Tuesday through Thursday. The personal consumption expenditures data out Friday will offer clues about whether the Federal Reserve will hike interest rates again this year. Follow live market updates here.

    2. Tech torrent

    3. Aid arrives in Gaza

    4. Oil consolidation ramps up

    5. More Google scrutiny

    Another country is probing Alphabet’s Google for potential anticompetitive practices. Japan’s Fair Trade Commission said it would investigate potential antitrust violations related to Google’s search engine and its apps and platforms. The move in Japan follows scrutiny over allegations of anticompetitive conduct in the European Union and United States. A Google spokesperson told CNBC that Android is an open platform that ensures “users always have a choice to customize their devices to suit their needs, including the way they browse and search the internet, or download apps.”

    – CNBC’s Lisa Kailai Han, Ruxandra Iordache, Matt Clinch and Arjun Kharpal contributed to this report.

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  • AI stole the show this year, but earnings will drag Wall Street back to reality

    AI stole the show this year, but earnings will drag Wall Street back to reality

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    Nearly a year ago, OpenAI released ChatGPT 3 into the world, and investors got visions of dollar signs in their heads as they imagined the ways that artificial intelligence could make big money for businesses.

    Wall Street’s now coming to terms with the fact that those sorts of paydays are going to take time. As investors have already seen from the past two quarters of earnings, AI has only really delivered financial benefits for a select few hardware companies so far — while spurring new costs for many others.

    “The AI boom has already bifurcated into the contenders and pretenders,” said Daniel Newman, chief executive and principal analyst of Futurum Research. And while Advanced Micro Devices Inc., Intel Corp. and Arm Holdings PLC
    ARM,
    +0.38%

    have stirred up interest, Nvidia Corp.
    NVDA,
    -4.68%

    has established itself as far and away the greatest “contender,” with AI driving strong demand for its chips tuned for AI training.

    Nvidia last quarter reported record earnings, including a 141% jump in revenue for its graphics chips used in AI infrastructure building up data centers. Nvidia, which reports near the end of earnings season on Nov. 21, posted record revenue of $13.5 billion last quarter and is expected to easily top that with $16 billion in the most recent quarter, a surge of 170% versus a year ago. Those estimates include $12.3 billion of revenue coming from data-center sales.

    Other chip companies could post gains from AI as well, but to far lesser extents. Candidates include Broadcom Corp.
    AVGO,
    -2.01%

    and system maker Super Micro Computer Inc.
    SMCI,
    +2.35%
    ,
    as well as Marvell Technology Inc.
    MRVL,
    -0.91%
    ,
    which last quarter told analysts that it expects to end the year at a revenue run rate of about $800 million this year from cloud/data-center chips related to AI.

    “This is well above what we had outlined last quarter. Put this in perspective: This would put us at the run rate we had previously communicated for all of next year,” Marvel Chief Executive Matthew Murphy told analysts.

    Super Micro is also riding the AI wave with its customized data-center servers that are designed to consume less power. But revenue in the September quarter is forecast to rise just 15% from a year ago and drop on a sequential basis, as supply constraints from Nvidia likely hampered Super Micro’s ability to meet all its demand.

    Much as Advanced Micro Devices Inc.
    AMD,
    -1.24%

    and Intel Corp.
    INTC,
    -1.37%

    want to be in the AI conversations with the graphics chips they hope will be used for AI data-center applications, they won’t see much of an impact yet from AI revenue. Plus, those companies are experiencing a slowdown in PC sales that may overshadow any small benefit from AI chips.

    The AI boom in chips is clearly not providing enough of a boost to lift finances for the overall semiconductor sector, which is forecast to see earnings fall 3.3% in the third quarter and post a revenue decline of 0.6%, according to FactSet. The industry is being dragged down in part by Micron Technology Inc.
    MU,
    -0.12%
    ,
    which reported a 40% drop in revenue and a whopping fiscal fourth-quarter loss in late September for the quarter ended Aug. 31, which is included in FactSet’s third-quarter data. Even so, the company called a bottom to the memory-chip downturn.

    Read also: Micron’s AI focused chip won’t help financial results anytime soon.

    “Most of the consumer-based tech is still struggling, [including] PCs, laptops and to a certain extent smartphones,” said Daniel Morgan, senior portfolio manager at Synovus Trust Co. Wall Street has tempered expectations related to the impact of Apple Inc.’s
    AAPL,
    -0.88%

    iPhone 15 launch on the quarter, as estimates call for an overall 1% drop in September-quarter revenue. Last quarter, Apple executives forecast that both Mac and iPad sales would be down by double-digits and that revenue performance would be similar to its June quarter, when revenue fell 1.3%

    In addition, when asked about AI, Apple CEO Tim Cook said the company views AI and machine learning “as core fundamental technologies that are integral to virtually every product that we build.” Those comments, though, can also apply to the bulk of tech companies, where AI is built into software as another layer to improve a product. Internet companies such as Meta Platforms Inc.
    META,
    +0.89%

    and Alphabet Inc.
    GOOG,
    +0.36%

    GOOGL,
    +0.45%

    incorporate AI into their software and algorithms but don’t treat it as a specific, revenue-generating product.

    Other software companies are building AI into their products as separate features or add-ons, but they are still in the early stages of seeing whether or not customers will pay more for them. Take Microsoft Corp.,
    MSFT,
    -0.17%

    which has showed off Copilot, an extra AI feature for customers of Microsoft 365.

    “[Microsoft] can distinguish itself by providing more details around its AI revenue
    ramp since we don’t expect much information from Google, who really doesn’t seem
    to have the monetization plan for Bard and AI-assisted search (SGE) ready to
    articulate yet,” Melius Research analyst Ben Reitzes said in a note to clients this week. He also noted that the cost of offering AI products to consumers is steep, and requires lots of investment.

    “There are sophisticated issues to contend with for Microsoft, including balancing the potential for higher revenue from Copilots with the high costs per query and much-needed investment,” Reitzes said. “The balance of AI adoption vs. cost was implied when Microsoft guided to flat operating margins year over year for fiscal 2024.”

    Earlier this year, the Information reported that OpenAI, the creator of ChatGPT and recipient of a hefty investment from Microsoft, has costs of up to $700,000 a day, because the massive amounts of computing power needed to run queries. In February, OpenAI launched ChatGPT Plus, for $20 a month, a service that will give subscribers access to its AI during peak times and faster response times.

    Another example is Adobe Inc.
    ADBE,
    +1.70%
    ,
    which has a few AI offerings, including a subscription service called Generative Credits, tokens that let customers turn text-based prompts into images. Another is Firefly, a generative AI service for images, and an AI option in Photoshop, currently called Photoshop Beta AI, to help users fill in images and other collaborative tools. Adobe did not provide any forecasts on potential revenue generation during its analyst day earlier this month.

    Toni Sacconaghi, a Bernstein Research analyst, said AI could drive a massive increase in enterprise productivity, and companies could dramatically increase IT spending on servers in order to invest in productivity-enhancing AI. “However, we note that enterprise adoption appears to be in early stages,” he said in a recent note to clients, adding that it was feasible that spending on AI infrastructure could take money away from other IT projects in process. “We do worry that projected AI infrastructure build out may be occurring too quickly, necessitating a digestion period, which could result in a commensurate stock pullback in AI-related names.”

    Overall, the information-technology sector itself is expected to see anemic revenue growth this quarter. The consensus on FactSet forecasts a meager 1.35% revenue uptick in the third quarter, with earnings growth of 4.65%. FactSet’s estimates for IT companies exclude internet companies like Meta and Alphabet, which are under the category of communications/interactive media services. That sector is expected to see sales growth of 12%, and earnings growth of 51%, thanks to a 116% boost in Meta’s net income, after it hit a low point in the year-ago quarter.

    Amazon.com Inc.
    AMZN,
    -0.81%
    ,
    in the category of consumer discretionary/broadline retail, is forecast to see earnings growth of 109%, and revenue growth of 11%. Amazon’s cloud services business, AWS, is expected to also see a potential uplift from customers spending money on AI projects, according to a TD Cowen & Co. survey, in which 41% of respondents said they were “highly considering” allocating a budget for generative AI.

    “This trend could bode well for Amazon’s AWS,” TD Cowen analyst John Blackledge said in a recent report, adding that he expects AWS revenue growth to reaccelerate in the second half of this year and in 2024, boosted by the move of additional workloads to the cloud, possibly including generative AI.

    As companies build up their infrastructure, or their spending on cloud computing to add or improve AI capabilities, they are seeing higher costs, which is affecting margins — especially if revenue has slowed down, as it has in some sectors. Across both the broader S&P 500
    SPX,
    and the IT sector, earnings are lower than a year ago.

    As Newman of Futurum pointed out, “AI stole the budget this year.” And that is a mixed bag for tech.

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  • U.S. curbs export of more AI chips, including Nvidia H800, to China

    U.S. curbs export of more AI chips, including Nvidia H800, to China

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    The U.S. Department of Commerce announced Tuesday that it plans to prevent the sale of more advanced artificial intelligence chips to China in the coming weeks.

    The U.S. government says the new rules are intended to close loopholes that popped up after last year’s restrictions on AI chip exports went into effect.

    Shares of chip stocks took a leg lower in Tuesday morning trading on the news. Nvidia was down about 5% while Broadcom and Marvell slipped about 2%. Shares of AMD fell more than 3%; Intel fell about 1.5%.

    Those earlier restrictions banned the sale of the Nvidia H100, which is the processor of choice for AI firms in the U.S. such as OpenAI. Instead, Chinese companies were able to buy a slightly slowed-down version called the H800 or A800 that complies with U.S. restrictions, primarily by slowing down an on-device connection speed, called an interconnect.

    The new rules will ban those chips as well, senior administration officials said in a briefing with reporters.

    The restrictions could also affect chips sold by Intel and AMD. Other rules will likely hamper the sale and export to China of semiconductor manufacturing equipment from companies such as Applied Materials, Lam and KLA.

    The restrictions cut off a big and growing market for AI semiconductors, and could raise concerns that the Chinese government will retaliate economically against U.S. firms doing business in the country.

    Nvidia seems to have anticipated the restrictions, and said in August that they would not have an immediate material effect on earnings, but might hurt over the long term.

    “”We comply with all applicable regulations while working to provide products that support thousands of applications across many different industries,” an Nvidia spokesperson told CNBC. “Given the demand worldwide for our products, we don’t expect a near-term meaningful impact on our financial results.”

    The goal of the U.S. restrictions is to prevent Chinese access to advanced semiconductors that could fuel breakthroughs in artificial intelligence, especially with military uses, U.S. Commerce Secretary Gina Raimondo said on a call with reporters. They’re not intended to hurt Chinese economic growth, U.S. officials said.

    “The updates are specifically designed to control access to computing power, which will significantly slow the PRC’s development of next-generation frontier model, and could be leveraged in ways that threaten the U.S. and our allies, especially because they could be used for military uses and modernization,” Raimondo said.

    Senior administration officials say the U.S. will simply restrict the export of data center chips if they exceed a performance threshold set last October, or exceed a new performance density threshold benchmark measured in flops per square millimeter.

    Companies that want to export AI chips to China or other embargoed regions will have to notify the U.S. government.

    Senior administration officials also said they plan to expand the list of semiconductor manufacturing equipment subject to U.S. restrictions.

    Chips for consumer products, like game consoles or smartphones, will not be subject to the export controls, although companies may have to tell the Commerce Department about their orders if the chips are fast enough.

    The U.S. government is also closing loopholes dealing with how to ship chips to companies that are headquartered in China or other embargoed regions such as Macao, to prevent a loophole where a foreign subsidiary buys chips and then ships them into China.

    Raimondo said that the new restrictions will only affect a small fraction of chip exports to China.

    “The fact is China, even after the update of this rule, will import hundreds of billions of dollars of semiconductors from the United States,” Raimondo said.

    The rules will be available for public notice for 30 days, then will go into effect, U.S. officials said.

    Don’t miss these CNBC PRO stories:

    — CNBC’s Kristina Partsinevelos contributed reporting.

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  • Meta’s unique approach to developing AI puzzles Wall Street, but techies love it

    Meta’s unique approach to developing AI puzzles Wall Street, but techies love it

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    Meta founder and CEO Mark Zuckerberg speaks during Meta Connect event at Meta headquarters in Menlo Park, California on September 27, 2023.

    Josh Edelson | AFP | Getty Images

    At Meta’s annual Connect conference last month, virtual reality enthusiasts gathered to hear about Mark Zuckerberg’s multibillion-dollar bet on the metaverse, the technology that’s supposed to define the company’s future.

    But at this year’s event, VR developers were inundated with panel discussions about a topic that’s quickly becoming less about tomorrow and more about the present: artificial intelligence.

    “Don’t tell Mark, but it feels less mixed reality and more AI these days,” joked Joseph Spisak, who joined the company as director of product development for generative AI two months earlier, during his session at Connect. “It kind of feels like an AI conference, which is kind of in my wheelhouse.”

    Sandwiched between panels about Meta’s latest Quest 3 VR headset and augmented reality developer software were several sessions dedicated to Llama, Meta’s large language model (LLM) that’s gained popularity since OpenAI’s ChatGPT chatbot exploded onto the scene in November, sparking a sprint by leading tech companies to bring competitive offerings to market.

    Zuckerberg, who changed Facebook’s name to Meta in late 2021 to signal his commitment to the metaverse, reminded Connect attendees that Llama was the power supply to the company’s latest digital assistants unveiled at the conference.

    While Zuckerberg still views the growth of the nascent metaverse as critical to his company’s success, AI has emerged as the market he’s trying to win today. Meta views Llama and its family of generative AI software as the open source alternative to GPT, the LLM from Microsoft-backed OpenAI, and Google’s PaLM 2, which powers the search company’s Bard AI technology.

    Industry experts compare Llama’s positioning in generative AI to that of Linux, the open source rival to Microsoft Windows, in the PC operating system market. Just as Linux software made its way into corporate servers worldwide and became a key piece of the modern internet, Meta sees Llama as the potential digital scaffolding supporting the next generation of AI apps.

    Andrew Bosworth, Chief Technology Officer of Facebook, speaks during Meta Connect event at Meta headquarters in Menlo Park, California on September 27, 2023.

    Josh Edelson | AFP | Getty Images

    On Wall Street, Llama is hard to value and, for many investors, hard to understand. Because AI researchers are at a premium and the infrastructure required to build and run models requires massive costs, Meta is investing heavily to build Llama, the updated Llama 2 that was introduced in July, and related generative AI software.

    After the July announcement, Yann LeCun, the AI researcher Zuckerberg hired in 2013 to lead Facebook’s new AI research group, wrote on Twitter that, “This is going to change the landscape of the LLM market.”

    But open source means Meta is giving away the software for free to developers, a dramatically different approach to the traditional software license and subscription models and far afield from the highly lucrative digital ad business that turned Facebook into an internet powerhouse.

    In announcing Llama 2, Meta said the new version would have a commercial license that allows companies to integrate it into their products. The company has said it isn’t focused on monetizing Llama 2 directly, but it does earn an undisclosed amount of money from cloud-computing companies like Microsoft and Amazon, which offer access to Llama 2 as part of their own generative AI enterprise services.

    Zuckerberg said on the company’s second-quarter earnings call that he doesn’t expect Llama 2 to generate “a large amount of revenue in the near term, but over the long term, hopefully that can be something.”

    Attracting top talent

    Meta is looking to benefit from Llama in other ways.

    Zuckerberg told analysts in July that improvements made to Llama by third-party developers could result in “efficiency gains,” making it cheaper for Meta to run its AI software. Meta said it expects capital expenditures for 2023 to be in the range of $27 billion to $30 billion, down from $32 billion last year. Finance chief Susan Li said the figure will likely grow in 2024, driven in part by data center-and AI-related investments.

    Influence brings its own advantages. If the world’s leading AI researchers use Llama, Meta could have an easier time hiring skilled technologists who understand the company’s approach to development. Facebook has a history of using open source projects, such as its PyTorch coding framework for machine learning apps, as a recruiting tool, luring technologists who want to work on cutting-edge software projects.

    Spisak helped oversee PyTorch and other open source AI projects when he worked at Meta from 2018 until January 2023. He left the company for a brief stint at Google and returned to Meta in July.

    Meta is also betting that third-party developers will steadily improve Llama 2 and related AI software so that it runs more efficiently, a way of outsourcing research and development to an army of volunteers.

    Cai GoGwilt, chief architect of legal tech startup Ironclad, said the open source community worked on the first version of Llama to “make it faster and make it run on a mobile phone.” GoGwilt said his company is waiting to see how enthusiastic developers will bolster Llama 2.

    “Part of the reason we’re not immediately using it is because the bigger interest for us is what the open source community is going to do with it,” GoGwilt said.

    Meta debuted the original Llama LLM in February, offering it in several different variants ranging from 7 billion parameters to 65 billion parameters, which are essentially variables that influence the size of the model and how much data it processes. In general, more parameters means a more powerful model, with the tradeoff being the cost of running and training the AI software.

    Like OpenAI’s GPT and other LLMs, Llama is an example of a transformer neural network, the AI software developed by a team of Google researchers that’s become the foundation for generative AI, which generates smart responses and clever images based on simple text prompts.

    To help with the computationally intensive process of training gigantic AI models like Llama, Meta has been using its own Research SuperCluster supercomputer, built to incorporate a whopping 16,000 Nvidia A100 GPUs, the AI industry’s “workhorse” computer chips.

    Although Llama was originally incubated inside Meta’s Fundamental AI Research team (FAIR), it’s since moved to the company’s generative AI organization led by Ahmad Al-Dahle, who previously spent over 16 years at Apple. Zuckerberg announced the group in late February.

    Meta said it took six months to train Llama 2, starting in January and ending in July, using a mix of “publicly available online data,” which doesn’t contain any Facebook user information. It’s unclear whether Meta plans to incorporate user data into the forthcoming Llama 3.

    As Zuckerberg strives for efficiency, he’s got his eyes on Nvidia, which is generating billions of dollars in quarterly profits for its AI chips. Meta is one of its biggest customers. Jim Fan, a senior AI science at Nvidia, said in a post on X that it likely cost Meta $20 million to train Llama 2, considerably more than the estimated $2.4 million it took to train its predecessor.

    Mainstream adoption of Llama 2 could influence Nvidia to ensure its graphics processing units (GPUs) work well with Meta-sanctioned software, lowering the company’s AI training and computing costs.

    Meanwhile, Meta has its own internal AI chip projects, giving it a potential alternative to Nvidia’s processors.

    “It gives them some price negotiating room,” said Arjun Bansal, CEO of enterprise startup Log10 and a former AI chip executive. “Nvidia wants to charge a lot and they can be like, ‘Hey, we got our own thing.’”

    Nvidia President and CEO Jensen Huang speaks at the COMPUTEX forum in Taiwan, May 28, 2023.

    Sopa Images | Lightrocket | Getty Images

    Nathan Lambert remembers the energy emanating from his colleagues at AI startup Hugging Face the weekend Meta debuted its much-anticipated Llama 2.

    Lambert and his teammates worked overtime to ensure the company’s infrastructure was ready to handle the influx of coders looking to take Llama 2 for a test drive. 

    Along with cloud-computing engines Microsoft Azure and Amazon Web Services, Hugging Face was one of Meta’s chosen launch partners for Llama 2, but arguably the most important. Developers, AI researchers and thousands of companies use Hugging Face’s platform to share code, data sets and models, making it one of the industry’s biggest communities.

    Although a number of open source LLMs are available, Lambert said Llama 2 is by far the most popular.

    “It’s the model that most people are playing with and that most startups are playing with,” said Lambert, who announced on Oct. 4 that he’s leaving Hugging Face though he didn’t say where he’s going.

    As with all things Zuckerberg, the project is not without controversy. Some in the industry consider Meta’s licensing agreement to use Llama 2 as limiting, conflicting with the spirit of collaborative development and innovation.

    For instance, third-party developers must request approval from Meta to use Llama 2 if they incorporate the software into any products or services that had “greater than 700 million monthly active users” in the month prior to its July release. Critics have said this clause was a way to keep rivals like Snap or TikTok from using Llama 2 for their own services.

    “It’s pretty restrictive,” said Umesh Padval, a venture partner at Thomvest Ventures and investor in AI startup Cohere, which builds proprietary LLMs. “It looks like Meta wants all the benefits of open source for their business while keeping the competition away.”

    Lambert said Meta could do itself a favor with the open source community and release more details about the specific, underlying datasets used to train Llama 2 so developers could better understand the training process. Open source adherents and privacy experts have pushed for more transparency into what kinds of data has been used to train LLMs, but companies have so far revealed few details.

    “We believe in open innovation, and we do not want to place undue restrictions on how others can use our model,” a Meta spokesperson said in a statement. “However, we do want people to use it responsibly. This is a bespoke commercial license that balances open access to the models with responsibility and protections in place to help address potential misuse.”

    Despite some detractors, Meta’s model is seeing plenty of early uptake. The company disclosed at Connect that there have been “more than 30 million downloads of Llama-based models through Hugging Face and over 10 million of these in the last 30 days alone.”

    Nvidia’s Fan noted in his X post that Llama 2’s new commercial license could lure more companies to experiment with the language model compared to the original Llama.

    “AI researchers from big companies were wary of Llama-1 due to licensing issues, but now I think many of them will jump on the ship and contribute their firepower,” Fan wrote.

    As of today, businesses investing in AI prefer to use commercially available LLMs, according to a recent TC Cowen survey of 680 firms in cloud computing. The survey found that 32% of respondents have used or plan to use commercially packaged LLMs like OpenAI’s GPT-4 software while 28% were focused on open source LLMs like Llama and Falcon, developed in the United Arab Emirates. Only 12% of respondents planned on using in-house LLMs.

    Meta’s reputational challenge

    At the U.S. Government Accountability Office, Taka Ariga studies how bleeding-edge technologies like LLMs could help the agency better conduct audits and investigations through its Innovation Lab.

    By the end of the year, Ariga’s team is planning to finish its first experiment investigating how LLMs can potentially be used to summarize numerous GAO reports and materials on a particular topic, and then combine those files with various other potentially relevant documentation from other agencies.

    “The general public or a member of congress might say, ‘What has the GAO done in the area of nuclear safety?’” Ariga said, regarding the LLM project. “Of course, we have done a lot of work, but that’s sort of report-by-report basis; you can’t do that kind of sort of topical search.”

    The GAO is currently using AWS’ Bedrock generative AI service to help the agency experiment with various popular LLMs, including proprietary models offered by startups like Cohere and Anthropic.

    While AWS recently said Bedrock will soon support Llama 2, Ariga said the GAO is first testing Anthropic’s Claude LLM and will likely pass on using Llama 2 because of Meta’s poor reputation in Washington.

    Meta has earned the ire of lawmakers over the years due to a host of issues, including data privacy scandals, antitrust investigations and allegations that Facebook censors conservative voices, Ariga noted, likening Zuckerberg to Elon Musk, the CEO of Tesla and owner of X.

    “Mark Zuckerberg is, just like Elon, a bit of a lightning rod when it comes to political technology,” Ariga said.

    “We know that while AI has brought huge advances to society, it also comes with risk,” Meta’s spokesperson said. “Meta is committed to building responsibly and we are providing a number of resources like our responsible use guide to help those who use Llama 2 do so.”

    Even among prospective customers that are unconcerned about reputational issues, Meta has to prove that it has superior LLM technology.

    Nur Hamdan, a product manager at AI startup aiXplain, said OpenAI’s GPT-4 is better than Llama 2 at understanding context over long, extended conversations. That means GPT-4 would likely produce conversations in a way that feel more lifelike, Hamadan said.

    Tests comparing GPT-4, Llama 2 and other LLMs are becoming routine. In one such test, researchers discovered that GPT-4 was able to generate better software code than Llama 2. Meta has since released a version of Llama 2 specifically for creating code.

    Sam Altman, CEO of OpenAI, at an event in Seoul, South Korea, on June 9, 2023.

    Bloomberg | Bloomberg | Getty Images

    In today’s land grab, Meta is competing against Amazon, Google and heavily funded startups like OpenAI and Cohere. They’re each aiming to be the cornerstone of next-generation apps. Meta sees open source as a key advantage, versus other companies that are selling the technology and packaging it with other services.

    “Somebody like Google or Microsoft, they may all be a little bit conflicted there,” said longtime infrastructure technology executive Guido Appenzeller, who held senior roles at VMware and Intel. “Facebook was not and that’s sort of how they move forward and democratizing this, giving sort of broad access to open source. I think it’s something incredibly powerful.”

    A Microsoft spokesperson said in an emailed statement that the company will provide customers with options and let them choose what model they prefer, whether it’s “proprietary, open source, or both.”

    “Each foundational model has unique benefits and we hope to make it easy for customers to select, fine-tune, and deploy them responsibly to maximize the outcome from these tools,” Microsoft said.

    Representatives from Amazon and Google didn’t respond to requests for comment.

    Llama’s impact on the technology industry could rival that of Kubernetes, the open source data center infrastructure software that Google released in 2014, experts said. In giving away Kubernetes, Google dramatically impacted the business models of once hot startups like Docker and CoreOS, which Red Hat acquired in 2018.

    Meta is deploying a Kubernetes-like strategy with Llama 2, but in a market that’s expected to be much bigger.

    “I’m a fan of Facebook, I understand what Mark has done,” Thomvest’s Padval said. “They’re reinventing the company.”

    However, open source doesn’t always win, and Padval acknowledged that “in this case, I don’t know how it’s going to evolve.”

    WATCH: Meta is a company with an ‘identity crisis.’

    Meta has an ‘identity crisis' and looks to us as 'un-investable': Portfolio manager

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  • Intel Shares Slip as CFO Warns of Excess Data Center Chip Inventories

    Intel Shares Slip as CFO Warns of Excess Data Center Chip Inventories

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    Intel Stock Slips as CFO Warns of Excess Data Center Chip Inventories

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  • How booming Vietnam offers the US an alternative to China | CNN Business

    How booming Vietnam offers the US an alternative to China | CNN Business

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    Hong Kong
    CNN
     — 

    President Joe Biden is in Vietnam for a visit intended to deepen economic ties between Washington and Hanoi as part of efforts to reduce America’s reliance on China.

    The former foes have formally upgraded diplomatic ties to a “comprehensive strategic partnership,” a symbolic yet highly important move that experts say will solidify trust between the nations as America seeks an ally in Asia to counteract political tensions with China and advance its ambitions for key technologies, such as chipmaking.

    Companies from Apple (AAPL) to Intel (INTC) have already pushed deeper into the country to diversify their supply chains, maxing out many Vietnamese factories and helping fuel an economic expansion that continues to defy a global slowdown.

    On Monday, the White House announced a “landmark deal” between Boeing and Vietnam Airlines worth $7.8 billion, which is expected to support more than 30,000 jobs in the United States. Reuters has reported that the carrier will buy 50 Boeing 737 Max jets.

    Biden’s visit, which followed the G20 summit in India, is the first by a US president to Vietnam since Donald Trump’s 2019 trip. He has met with Vietnamese General Secretary Nguyen Phu Trong and other leaders to “promote the growth of a technology-focused” Vietnamese economy, as well as discuss ways to improve stability in the region, according to the White House.

    In recent years, their trade has already soared under an existing partnership agreed in 2013, so the elevation in relations is “just catching up with the reality that already exists,” Ted Osius, president of the US-ASEAN Business Council and a former US ambassador to Vietnam, told CNN.

    The United States imported nearly $127.5 billion in goods from Vietnam in 2022, compared with $101.9 billion in 2021 and $79.6 billion in 2020, according to US government data.

    Last year, Vietnam became America’s eighth largest trading partner, rising from 10th place two years earlier.

    The two sides have been moving closer as US officials, particularly Treasury Secretary Janet Yellen, have repeatedly pointed to the importance of “friend-shoring.”

    The practice refers to the movement of supply chains toward allies in part to shield businesses from political friction.

    “Rather than being highly reliant on countries where we have geopolitical tensions and can’t count on ongoing, reliable supplies, we need to really diversify our group of suppliers,” she said in a speech last year at the Atlantic Council think tank.

    Those tensions add to a litany of pressures, including rising labor costs and an uncertain operating environment that have already made corporations think twice about how much business they do in China, which is still considered the factory of the world.

    But increasingly, it has competition. During the US-China trade war, which started in 2018, businesses of all sizes began moving manufacturing to emerging markets such as Vietnam and India over tariffs.

    After the pandemic broke out, corporations were increasingly forced to consider strategies known as “China plus one,” which meant spreading out production hubs as a way to reduce reliance on a sole manufacturing base.

    The latest exodus could cost China dearly: In a 2022 report, Rabobank estimated that as many as 28 million Chinese jobs directly relied on exports to the West and could leave the country as a result of “friend-shoring.”

    Some 300,000 of those jobs, focused on low-tech manufacturing, are expected to move to Vietnam from China, analysts wrote.

    From an industrial perspective, the country has been booming for years, said Michael Every, a Rabobank global strategist who authored the report. Relatively lower wages and a youthful population have provided Vietnam with a solid workforce and consumer base, bolstering the case to invest in the nation of 97 million people.

    A fruit vendor walking past an Apple store in Hanoi

    But companies hoping to make the switch may already be too late, as some factories are so stretched, customers must wait, he said.

    Alicia García-Herrero, chief economist at Natixis, pointed to what she called “overheating,” saying demand for manufacturing in Vietnam has outstripped supply in some cases.

    “Too many companies [are] going to Vietnam,” she told CNN.

    Vietnam enjoyed an advantage, as it was first in the region to build up supply chain capabilities “for many, many sectors” years ago, she explained.

    Shortly after Biden landed in Vietnam on Sunday, the White House announced a new semiconductor partnership.

    “The United States recognizes Vietnam’s potential to play a critical role in building resilient semiconductor supply chains, particularly to expand capacity in reliable partners where it cannot be re-shored to the United State,” it said in a statement.

    The semiconductor industry has emerged as a key source of tension in US-China relations. Beijing and Washington are both racing to boost their prowess in the sector, and each side has recently enacted export controls aimed at limiting the other’s capacity.

    The United States needs a trusted partner for its supply of chips, and Vietnam can do just that, Osius said.

    Intel sees it that way. The California-based chipmaker has committed $1.5 billion to a sprawling campus located just outside Ho Chi Minh City, which it says will be its largest single assembly and test facility in the world.

    Osius expects more investments in the field to follow as Washington shores up ties with Hanoi.

    “The significance of Vietnam in that supply chain will increase,” he predicted. “We’re going to see an acceleration when it comes to collaboration in tech.”

    The International Monetary Fund projects Vietnam’s growth will slow to 5.8% from 8% last year as it copes with less overseas demand for its exports.

    But that compares favorably with a global growth forecast of 3%, and is noticeably faster many of the world’s major economies, such as the United States, China and the eurozone.

    “As the rest of Asia underwhelms, Vietnam will still be one of the fastest growing economies,” Natixis said in a recent research note.

    That’s compelling for corporations looking for bright spots in an otherwise gloomy environment.

    Such interest was noted in March, when the US-ASEAN Business Council led its biggest-ever business mission to Vietnam. The delegation consisted of 52 American firms, including corporate heavyweights such as Netflix (NFLX) and Boeing (BA).

    Of course, companies still have reservations over factors such as Vietnamese tech regulations, which they fear could include limits on the “transfer of data across borders, or too many rules requiring data localization,” according to Osius.

    In some cases, businesses are also concerned by how the country’s infrastructure still pales in comparison to a longtime trade powerhouse like China’s.

    For example, “there isn’t a sufficient port capacity for some of the goods to be exported as quickly as companies want them to be moved,” Osius said.

    Politically, Vietnam shares many similarities to China in that it is an authoritarian one-party state that tolerates little dissent.

    But overall, businesses simply want an easy way to hedge their bets.

    Vietnam is an obvious choice, because it’s a cheap alternative to manufacturing in China, said García-Herrero.

    For various sectors, transitioning isn’t difficult, because many Chinese suppliers also moved there because of US tariffs, she explained. “It’s the most similar because you have the same providers as in China.”

    The Biden administration, too, will likely be keen to secure that alternative.

    “It’s quite clear that they’re trying to set up a series of foreign policy victories ahead of 2024 [by] signing a strategic comprehensive partnership with Vietnam,” said Every, the Rabobank analyst.

    — CNN’s Kyle Feldscher, Jeremy Diamond and Kevin Liptak contributed to this report.

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  • Arm files for Nasdaq listing, as SoftBank aims to sell shares in chip designer it bought for $32 billion

    Arm files for Nasdaq listing, as SoftBank aims to sell shares in chip designer it bought for $32 billion

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    SoftBank plans to list Arm in the U.S.

    CFOTO | Future Publishing | Getty Images

    Arm, the chip designer owned by Japan’s SoftBank, filed for a Nasdaq listing on Monday, positioning itself to go public during a historically slow period for tech IPOs.

    The company wants to trade under the ticker symbol “ARM.”

    Arm reported $524 million in net income on $2.68 billion in revenue in its fiscal 2023, which ended in March, according to the filing. Arm’s 2023 revenue was slightly down from the company’s 2022 sales of $2.7 billion.

    The U.K.-based company filed confidentially for a listing in the U.S. earlier this year after previously announcing it would go public in the U.S. over the U.K., dealing a blow to the London Stock Exchange.

    Arm is one of the most important chip companies. It sells licenses to an instruction set at the heart of nearly every mobile chip, and increasingly, PC and server chips as well. In recent years, it has aimed to sell more complete chip designs, which is more lucrative.

    Arm chips are made by companies including Amazon, Alphabet, AMD, Intel, Nvidia, Qualcomm, and Samsung, according to the filing. Its technology is also included in Apple’s chips for iPhones. Arm said that its technology was included in over 30 billion chips shipped in its fiscal 2023. Arm typically takes a fee on every chip that is shipped using its technology.

    SoftBank originally sought to sell Arm to chip giant Nvidia, but the deal faced major pushback from regulators, who raised concerns over competition and national security. SoftBank took Arm private in 2016 in a deal valued at $32 billion.

    Arm did not provide a projected share price, so it’s not yet possible to estimate its valuation.

    A critical component

    Arm, with just under 6000 employees, plays a pivotal role in the world of consumer electronics, designing the architecture of chips that are found in 99% of all smartphones, making it a key provider of technology to Apple, Google and Qualcomm.

    The company was founded in 1990 as a joint venture between several companies and Apple to create a low-power processor for battery-powered devices. It first went public in 1998, before being taken private in 2016 by SoftBank.

    But the company is also facing headwinds from a slowdown in demand for products like smartphones, which has hit chip firms across the board. Arm’s net sales fell 4.6% year-on-year in the second quarter, while the unit swung to a loss, according to SoftBank’s earnings release. SoftBanks’ beleaguered Vision Fund, meanwhile, has racked up billions of dollars in losses of late due to tech bets that soured in a high interest rate environment.

    In its filing, Arm made the case that its technology would be essential for AI applications, although it focuses on central processors, not the graphics processors that are required for creating big AI models. “The CPU is vital in all AI systems, whether it is handling the AI workload entirely or in combination with a co-processor, such as a GPU or an NPU,” Arm said in the filing.

    Arm identified x86, the instruction set used in Intel and AMD processors, as well as RISC-V, an open source instruction set backed by several big tech companies, as sources of competition.

    The company said that its three largest customers accounted for 44% of the company’s total revenue. The company’s largest customer, Arm China, a independent entity, accounted for 24% of sales. Arm also said that Qualcomm, which it is currently suing over a licensing violation, accounted for 11% of sales.

    Arm is poised to hit the market at a time when investors are flocking to next-generation semiconductors because of the demand spurred by artificial intelligence, most notably the soaring popularity of generative AI applications. Nvidia, the chipmaker most at the heart of the generative AI boom, has seen its stock price triple this year.

    However, the tech IPO market has been largely dormant for the past 20 months, with no notable venture-backed deals since Dec. 2021. Last October, Intel spun out self-driving car technology company Mobileye. That stock is up just 17% since its first day close.

    Some tech investors may be looking to Arm’s offering as an indication of demand for new offerings. Grocery delivery company Instacart is among late-stage startups that are reportedly preparing to submit IPO paperwork to the SEC.

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  • Nvidia’s A.I.-driven stock surge pushed earnings multiple three times higher than Tesla’s

    Nvidia’s A.I.-driven stock surge pushed earnings multiple three times higher than Tesla’s

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    Nvidia CEO Jensen Huang,speaks at the Supermicro keynote presentation during the Computex conference in Taipei on June 1, 2023.

    Walid Berrazeg | Sopa Images | Lightrocket | Getty Images

    Following last year’s market route in tech stocks, all of the industry’s big names have rebounded in 2023. But one company has far outshined them all: Nvidia.

    Driven by an over decade-long head start in the kind of artificial intelligence chips and software now coveted across Silicon Valley, Nvidia shares are up 180% this year, beating every other member of the S&P 500. The next biggest gainer in the index is Facebook parent Meta, which is up 151% at Friday’s close.

    Nvidia is now valued at over $1 trillion, making it the fifth-most valuable U.S. company, behind only tech behemoths Amazon, Apple, Microsoft, and Alphabet.

    While Nvidia doesn’t carry the household name of its mega-cap tech peers, its core technology is the backbone of the hottest new product that’s quickly threatening to disrupt everything from education and media to finance and customer service. That would be ChatGPT.

    OpenAI’s viral chatbot, funded heavily by Microsoft, along with AI models from a handful of well-financed startups, all rely on Nvidia’s graphics processing units (GPUs) to run. They’re widely viewed as the best chips for training AI models, and Nvidia’s financial forecasts suggest insatiable demand.

    The company’s powerful H100 chips cost around $40,000. They’re being swept up by Microsoft and OpenAI by the thousands.

    “Long story short, they have the best of the best GPUs,” said Piper Sandler analyst Harsh Kumar, who recommends buying the stock. “And they have them today.”

    Even with all that momentum and seemingly insatiable demand, baked into Nvidia’s stock price is a slew of assumptions about growth, including the doubling of sales in coming quarters and the almost quadrupling of net income this fiscal year.

    Some investors have described the stock as priced for perfection. Looking at the last 12 months of company earnings, Nvidia has a price-to-earnings ratio of 220, which is stunningly rich even compared with notoriously high-valued tech companies. Amazon’s P/E ratio is at 110, and Tesla’s is at 70, according to FactSet.

    Should Nvidia meet analysts’ projections, the current price still looks high compared to most of the tech industry, but certainly more reasonable. Its P/E ratio for the next 12 months of earnings is 42, versus 51 for Amazon and 58 for Tesla, FactSet data shows.

    When Nvidia reports earnings later this month, analysts expect quarterly revenue of $11.08 billion, according to Refinitiv, which would mark a 65% increase from a year earlier. That’s slightly higher than Nvidia’s official guidance of about $11 billion.

    Investors are betting that, beyond this quarter and the next, Nvidia will not only be able to ride the AI wave for quite some time, but that it will also power through growing competition from Google and AMD, and avoid any major supply issues.

    There’s also the risks that come with any stock flying too high too fast. Nvidia shares fell 8.6% this week, compared to a 1.9% slide in the Nasdaq, with no bad news to cause such a drop. It’s the steepest weekly decline for Nvidia’s stock since September of last year.

    “As investors, we have to start wondering if the excitement around all the great things that Nvidia has done and may continue to do is baked into this performance already,” WisdomTree analyst Christopher Gannatti wrote in a post on Thursday. “High investor expectations is one of the toughest hurdles for companies to overcome.”

    How Nvidia got here

    Nvidia’s stock rally this year is impressive, but the real eye-popping chart is the one showing the 10-year run. A decade ago, Nvidia was worth roughly $8.4 billion, a tiny fraction of chip giant Intel’s market cap.

    Since then, while Intel’s stock is up 55%, Nvidia’s value has ballooned by over 11,170%, making it seven times more valuable than its rival. Tesla, whose stock surge over that time has made CEO Elon Musk the world’s richest person, is up 2,279%.

    Nvidia founder and CEO Jensen Huang has seen his net worth swell to $38 billion, placing him 33rd on the Bloomberg Billionaires index.

    An Nvidia spokesperson declined to comment for this story.

    Before the rise of AI, Nvidia was known for producing key technology for video games. The company, reportedly born at a Denny’s in San Jose, California, in 1993, built processors that helped gamers render sophisticated graphics in computer games. Its iconic product was a graphics card — chips and boards that were plugged into consumer PC motherboards or laptops.

    Video games are still a big business for the company. Nvidia reported over $9 billion in gaming sales in fiscal 2023. But that was down 27% on an annual basis, partially because Nvidia sold so many graphics cards early in the pandemic, when people were upgrading their systems at home. Nvidia’s core gaming business continues to shrink.

    What excites Wall Street has nothing to do with games. Rather, it’s the emerging AI business, under Nvidia’s data center line item. That unit saw sales rise 41% last year to $15 billion, surpassing gaming. Analysts polled by FactSet expect it to more than double to $31.27 billion in fiscal 2024. Nvidia controls 80% or more of the AI chip market, according to analysts.

    Nvidia’s pivot to AI chips is actually 15 years in the making.

    In 2007, the company released a little-noticed software package and programming language called CUDA, which lets programmers take advantage of all of a GPU chip’s hardware features.

    Developers quickly discovered the software was effective at training and running AI models, and CUDA is now an integral part of the training process.

    When AI companies and programmers use CUDA and Nvidia’s GPUs to build their models, analysts say, they’re less likely to switch to competitors, such as AMD’s chips or Google’s Tensor Processing Units (TPUs).

    “Nvidia has a double moat right now in that they they have the highest performance training hardware,” said Patrick Moorhead, semiconductor analyst at Moor Insights. “Then on the input side of the software, in AI, there are libraries and CUDA.”

    Locking in revenue and supply

    As Nvidia’s valuation has grown, the company has taken steps to secure its lead and live up to those lofty expectations. Huang had dinner in June with Morris Chang, chairman of Taiwan Semiconductor Manufacturing Co.

    TSMC, the world’s leading manufacturer of chips for semiconductor companies, makes Nvidia’s key products. After the meal, Huang said he felt “perfectly safe” relying on the foundry, suggesting that Nvidia had secured the supply it needed.

    Nvidia has also turned into a heavyweight startup investor in the venture world, with a clear focus on fueling companies that work with AI models.

    Nvidia has invested in at least 12 startups so far in 2023, according to Pitchbook data, including some of the most high-profile AI companies. They include Runway, which makes an AI-powered video editor, Inflection AI, started by a former DeepMind founder, and CoreWeave, a cloud provider that sells access to Nvidia GPUs.

    The investments could give the company a pipeline of growing customers, who could not only boost Nvidia’s sales down the line but also provide a more diverse set of clients for its GPUs.

    Some of the startups are putting numbers out that show the sky-high levels of demand for Nvidia’s technology. Kumar from Piper cited comments from CoreWeave management, indicating that the company had $30 million in revenue last year, but has $2 billion in business contracted for next year.

    “This is the representation of demand for generative AI type applications, or for voice-search applications, or generally speaking, GPU applications,” Kumar said.

    Nvidia is now coming close to the midpoint of its current GPU architecture cycle. The latest high-end AI chip, the H100, is based on Nvidia’s Hopper architecture. Hopper was announced in March 2022, and Nvidia said to expect its successor in 2024.

    Cloud providers including Google, Microsoft and Amazon have said they’re going to spend heavily to expand their data centers, which will mostly rely on Nvidia GPUs.

    For now, Nvidia is selling nearly every H100 it can make, and industry participants often grumble about how hard it is to secure GPU access following the launch of ChatGPT late last year.

    “ChatGPT was the iPhone moment of AI,” Huang said at the company’s annual shareholder meeting in June. “It all came together in a simple user interface that anyone could understand. But we’ve only gotten our first glimpse of its full potential. Generative AI has started a new computing era and will rival the transformative impact of the Internet.”

    Investors are buying the story. But as this week’s volatile trading showed, they’re also quick to hit the sell button if the company or market hits a snag.

    — CNBC’s Jonathan Vanian contributed reporting.

    WATCH: CoreWeave raises $2.3 billion in debt collateralized by Nvidia chips

    CoreWeave raises $2.3 billion in debt collateralized by Nvidia chips

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  • How Amazon is racing to catch Microsoft and Google in generative A.I. with custom AWS chips

    How Amazon is racing to catch Microsoft and Google in generative A.I. with custom AWS chips

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    In an unmarked office building in Austin, Texas, two small rooms contain a handful of Amazon employees designing two types of microchips for training and accelerating generative AI. These custom chips, Inferentia and Trainium, offer AWS customers an alternative to training their large language models on Nvidia GPUs, which have been getting difficult and expensive to procure. 

    “The entire world would like more chips for doing generative AI, whether that’s GPUs or whether that’s Amazon’s own chips that we’re designing,” Amazon Web Services CEO Adam Selipsky told CNBC in an interview in June. “I think that we’re in a better position than anybody else on Earth to supply the capacity that our customers collectively are going to want.”

    Yet others have acted faster, and invested more, to capture business from the generative AI boom. When OpenAI launched ChatGPT in November, Microsoft gained widespread attention for hosting the viral chatbot, and investing a reported $13 billion in OpenAI. It was quick to add the generative AI models to its own products, incorporating them into Bing in February. 

    That same month, Google launched its own large language model, Bard, followed by a $300 million investment in OpenAI rival Anthropic. 

    It wasn’t until April that Amazon announced its own family of large language models, called Titan, along with a service called Bedrock to help developers enhance software using generative AI.

    “Amazon is not used to chasing markets. Amazon is used to creating markets. And I think for the first time in a long time, they are finding themselves on the back foot and they are working to play catch up,” said Chirag Dekate, VP analyst at Gartner.

    Meta also recently released its own LLM, Llama 2. The open-source ChatGPT rival is now available for people to test on Microsoft‘s Azure public cloud.

    Chips as ‘true differentiation’

    In the long run, Dekate said, Amazon’s custom silicon could give it an edge in generative AI. 

    “I think the true differentiation is the technical capabilities that they’re bringing to bear,” he said. “Because guess what? Microsoft does not have Trainium or Inferentia,” he said.

    AWS quietly started production of custom silicon back in 2013 with a piece of specialized hardware called Nitro. It’s now the highest-volume AWS chip. Amazon told CNBC there is at least one in every AWS server, with a total of more than 20 million in use. 

    AWS started production of custom silicon back in 2013 with this piece of specialized hardware called Nitro. Amazon told CNBC in August that Nitro is now the highest volume AWS chip, with at least one in every AWS server and a total of more than 20 million in use.

    Courtesy Amazon

    In 2015, Amazon bought Israeli chip startup Annapurna Labs. Then in 2018, Amazon launched its Arm-based server chip, Graviton, a rival to x86 CPUs from giants like AMD and Intel.

    “Probably high single-digit to maybe 10% of total server sales are Arm, and a good chunk of those are going to be Amazon. So on the CPU side, they’ve done quite well,” said Stacy Rasgon, senior analyst at Bernstein Research.

    Also in 2018, Amazon launched its AI-focused chips. That came two years after Google announced its first Tensor Processor Unit, or TPU. Microsoft has yet to announce the Athena AI chip it’s been working on, reportedly in partnership with AMD

    CNBC got a behind-the-scenes tour of Amazon’s chip lab in Austin, Texas, where Trainium and Inferentia are developed and tested. VP of product Matt Wood explained what both chips are for.

    “Machine learning breaks down into these two different stages. So you train the machine learning models and then you run inference against those trained models,” Wood said. “Trainium provides about 50% improvement in terms of price performance relative to any other way of training machine learning models on AWS.”

    Trainium first came on the market in 2021, following the 2019 release of Inferentia, which is now on its second generation.

    Trainum allows customers “to deliver very, very low-cost, high-throughput, low-latency, machine-learning inference, which is all the predictions of when you type in a prompt into your generative AI model, that’s where all that gets processed to give you the response, ” Wood said.

    For now, however, Nvidia’s GPUs are still king when it comes to training models. In July, AWS launched new AI acceleration hardware powered by Nvidia H100s. 

    “Nvidia chips have a massive software ecosystem that’s been built up around them over the last like 15 years that nobody else has,” Rasgon said. “The big winner from AI right now is Nvidia.”

    Amazon’s custom chips, from left to right, Inferentia, Trainium and Graviton are shown at Amazon’s Seattle headquarters on July 13, 2023.

    Joseph Huerta

    Leveraging cloud dominance

    AWS’ cloud dominance, however, is a big differentiator for Amazon.

    “Amazon does not need to win headlines. Amazon already has a really strong cloud install base. All they need to do is to figure out how to enable their existing customers to expand into value creation motions using generative AI,” Dekate said.

    When choosing between Amazon, Google, and Microsoft for generative AI, there are millions of AWS customers who may be drawn to Amazon because they’re already familiar with it, running other applications and storing their data there.

    “It’s a question of velocity. How quickly can these companies move to develop these generative AI applications is driven by starting first on the data they have in AWS and using compute and machine learning tools that we provide,” explained Mai-Lan Tomsen Bukovec, VP of technology at AWS.

    AWS is the world’s biggest cloud computing provider, with 40% of the market share in 2022, according to technology industry researcher Gartner. Although operating income has been down year-over-year for three quarters in a row, AWS still accounted for 70% of Amazon’s overall $7.7 billion operating profit in the second quarter. AWS’ operating margins have historically been far wider than those at Google Cloud.

    AWS also has a growing portfolio of developer tools focused on generative AI.

    “Let’s rewind the clock even before ChatGPT. It’s not like after that happened, suddenly we hurried and came up with a plan because you can’t engineer a chip in that quick a time, let alone you can’t build a Bedrock service in a matter of 2 to 3 months,” said Swami Sivasubramanian, AWS’ VP of database, analytics and machine learning.

    Bedrock gives AWS customers access to large language models made by Anthropic, Stability AI, AI21 Labs and Amazon’s own Titan.

    “We don’t believe that one model is going to rule the world, and we want our customers to have the state-of-the-art models from multiple providers because they are going to pick the right tool for the right job,” Sivasubramanian said.

    An Amazon employee works on custom AI chips, in a jacket branded with AWS’ chip Inferentia, at the AWS chip lab in Austin, Texas, on July 25, 2023.

    Katie Tarasov

    One of Amazon’s newest AI offerings is AWS HealthScribe, a service unveiled in July to help doctors draft patient visit summaries using generative AI. Amazon also has SageMaker, a machine learning hub that offers algorithms, models and more. 

    Another big tool is coding companion CodeWhisperer, which Amazon said has enabled developers to complete tasks 57% faster on average. Last year, Microsoft also reported productivity boosts from its coding companion, GitHub Copilot. 

    In June, AWS announced a $100 million generative AI innovation “center.” 

    “We have so many customers who are saying, ‘I want to do generative AI,’ but they don’t necessarily know what that means for them in the context of their own businesses. And so we’re going to bring in solutions architects and engineers and strategists and data scientists to work with them one on one,” AWS CEO Selipsky said.

    Although so far AWS has focused largely on tools instead of building a competitor to ChatGPT, a recently leaked internal email shows Amazon CEO Andy Jassy is directly overseeing a new central team building out expansive large language models, too.

    In the second-quarter earnings call, Jassy said a “very significant amount” of AWS business is now driven by AI and more than 20 machine learning services it offers. Some examples of customers include Philips, 3M, Old Mutual and HSBC. 

    The explosive growth in AI has come with a flurry of security concerns from companies worried that employees are putting proprietary information into the training data used by public large language models.

    “I can’t tell you how many Fortune 500 companies I’ve talked to who have banned ChatGPT. So with our approach to generative AI and our Bedrock service, anything you do, any model you use through Bedrock will be in your own isolated virtual private cloud environment. It’ll be encrypted, it’ll have the same AWS access controls,” Selipsky said.

    For now, Amazon is only accelerating its push into generative AI, telling CNBC that “over 100,000” customers are using machine learning on AWS today. Although that’s a small percentage of AWS’s millions of customers, analysts say that could change.

    “What we are not seeing is enterprises saying, ‘Oh, wait a minute, Microsoft is so ahead in generative AI, let’s just go out and let’s switch our infrastructure strategies, migrate everything to Microsoft.’ Dekate said. “If you’re already an Amazon customer, chances are you’re likely going to explore Amazon ecosystems quite extensively.”

    — CNBC’s Jordan Novet contributed to this report.

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  • US escalates tech battle by cutting China off from AI chips | CNN Business

    US escalates tech battle by cutting China off from AI chips | CNN Business

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    Editor’s Note: Sign up for CNN’s Meanwhile in China newsletter which explores what you need to know about the country’s rise and how it impacts the world.


    Hong Kong/Washington
    CNN
     — 

    The Biden administration is reducing the types of semiconductors that American companies will be able to sell to China, citing the desire to close loopholes in existing regulations announced last year.

    On Tuesday, the US Commerce Department unveiled new rules that further tighten a sweeping set of export controls first introduced in October 2022.

    The updated rules “will increase effectiveness of our controls and further shut off pathways to evade our restrictions,” US Commerce Secretary Gina Raimondo said in a statement. “We will keep working to protect our national security by restricting access to critical technologies, vigilantly enforcing our rules, while minimizing any unintended impact on trade flows.”

    Advanced artificial intelligence chips, such as Nvidia’s H800 and A800 products, will be affected, according to a regulatory filing from the US company.

    The regulations also expand export curbs beyond mainland China and Macao to 21 other countries with which the United States maintains an arms embargo, including Iran and Russia.

    The measures, which have affected the shares of major American chipmakers, are set to take effect in 30 days.

    The original rules had sought to hamper China’s ability to procure advanced computing chips and manufacture advanced weapons systems. Since then, senior administration officials have suggested they needed to be adjusted due to technological developments.

    Raimondo, who visited China in August, said the administration was “laser-focused” on slowing the advancement of China’s military. She emphasized that Washington had opted not to go further in restricting chips for other applications.

    Chips used in phones, video games and electric vehicles were purposefully carved out from the new rules, according to senior administration officials.

    But these assurances are unlikely to placate Beijing, which has vowed to “win the battle” in core technologies in order to bolster the country’s position as a tech superpower.

    China’s Foreign Ministry criticized the Biden administration’s new rules Monday, before they were officially unveiled.

    “The US needs to stop politicizing and weaponizing trade and tech issues and stop destabilizing global industrial and supply chains,” spokesperson Mao Ning told a press briefing. “We will closely follow the developments and firmly safeguard our rights and interests.”

    As part of ongoing dialogue established by Raimondo and other US officials with their Chinese counterparts, Beijing was informed of the impending updates, according to a senior administration official.

    “We let the Chinese know for clarity that these rules were coming, but there was no negotiation with them,” the official told reporters.

    The tech rivalry between the world’s two largest economies has been heating up. In recent months, the United States has enlisted its allies in Europe and Asia in restricting sales of advanced chipmaking equipment to China.

    In July, Beijing hit back by imposing its own curbs on exports of germanium and gallium, two elements essential for making semiconductors.

    Shares of US chipmakers fell Tuesday following the announcement of new export controls.

    Nvidia’s (NVDA) stock closed down 4.7%, while Intel (INTC) slipped 1.4%. AMD (AMD) shares ended 1.2% lower.

    In its filing, Nvidia said the rules imposed new licensing requirements for exports to China and other markets such as Saudi Arabia, the United Arab Emirates and Vietnam.

    The company said its A800 chip, which was reportedly created for Chinese customers in order to circumvent last year’s restrictions, would be among the components affected.

    However, “given the strength of demand for our products worldwide, we do not anticipate that the additional restrictions will have a near-term meaningful impact on our financial results,” Nvidia said.

    The broader US chipmaking industry is also examining the impact of the new rules.

    The Semiconductor Industry Association said in a statement Tuesday that while it recognized the need to protect national security, “overly broad, unilateral controls risk harming the US semiconductor ecosystem without advancing national security as they encourage overseas customers to look elsewhere.”

    “We urge the administration to strengthen coordination with allies to ensure a level playing field for all companies,” added the group, which represents 99% of the US chip sector.

    The measures are also being reviewed in Europe. On Tuesday, ASML, the Dutch chipmaking equipment manufacturer, said it was evaluating the implications of the rules, though it did not expect them “to have a material impact on our financial outlook for 2023.”

    During a call Wednesday about the company’s third-quarter results, ASML chief executive Peter Wennink said the updated export restrictions would affect between 10% and 15% of the firm’s sales to China.

    On Tuesday, the US Department of Commerce added 13 Chinese entities to a list of firms with which US companies may not do business for national security reasons.

    They include two Chinese startups, Biren Technology and Moore Thread Intelligent Technology, and their subsidiaries.

    The department alleges that these companies are “involved in the development of advanced computing chips that have been found to be engaged in activities contrary to US national security.”

    CNN has reached out to Biren and Moore Thread for comment.

    — Anna Cooban contributed reporting.

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  • Stocks making the biggest moves premarket: Intel, Roku, Procter & Gamble and more

    Stocks making the biggest moves premarket: Intel, Roku, Procter & Gamble and more

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    Signage outside Intel headquarters in Santa Clara, California, on Monday, Jan. 30, 2023.

    David Paul Morris | Bloomberg | Getty Images

    Check out the companies making headlines before the bell.

    Intel — Shares popped 6.7% after the chipmaker posted better-than-expected second-quarter results and a return to profitability after two consecutive losing periods. Intel’s forecast for the third quarter also came in above analyst expectations. The company reported adjusted earnings of 13 cents a share on revenues of $12.95 billion.

    Roku — The streaming stock rallied nearly 10% after reporting a narrower-than-expected loss for the second quarter. Roku reported a loss of 76 cents a share and revenues of $847 million. Analysts polled by Refinitiv had anticipated a loss of $1.26 per share and $775 million in revenue.

    Biogen — Biogen shares moved slightly lower after the biotechnology company said it’s acquiring Reata Pharmaceuticals for $172.50 per share, in a cash deal valued at about $7.3 billion. Shares of Reata soared more than 51% on the news.

    Procter & Gamble — The consumer giant saw shares rise more than 1% in premarket trading after the company reported quarterly earnings and revenue that beat analysts’ expectations. However, P&G released a gloomy outlook for its fiscal 2024 sales that fell short of Wall Street’s estimates.

    Exxon Mobil — Shares moved slightly lower after the oil stock posted mixed second-quarter results. The company reported earnings of $1.94 a share, excluding items, that fell short of the $2.01 expected by analysts, per Refinitiv. Revenues came in at $82.91 billion, above the expected $80.19 billion.

    Chevron — The oil stock lost nearly 1% even after reporting a beat on the top and bottom lines for the second quarter. Earnings fell from a year ago due to a drop in oil prices.

    First Solar – Shares soared 12% after the solar company posted earnings per share of $1.59 on revenue of $811 million for the second quarter. Those results beat Wall Street expectations of 96 cents per share on revenue of $721 million, according to Refinitiv. The company also announced plans to invest up to $1.1 billion to build a fifth manufacturing facility in the United States.

    Enphase Energy – Shares of Enphase dropped more than 15% after the company posted second-quarter revenue Thursday of $711 million that fell short of analyst estimates of $722 million, according to Refinitiv. The stock also faced a wave of downgrades Friday morning from Deutsche Bank, Wells Fargo and Roth MKM.

    Sweetgreen – Shares of the salad chain slid more than 13% after the company posted weak sales that missed Wall Street expectations in the second quarter and a net loss of $27.3 million, or 24 cents per share. Sweetgreen did say it’s aiming to turn a profit for the first time by 2024.

    Ford Motor – The automaker said adoption of electric vehicles is going more slowly than the company forecast and that it expects to lose $4.5 billion on the EV business this year, widening losses from roughly $3 billion a year earlier. Otherwise, Ford posted strong quarterly earnings that beat Wall Street expectations and raised its full-year guidance. Shares were flat in premarket trading.

    Juniper Networks — Shares of the technology company fell 8% after Juniper’s third-quarter guidance came in lighter than expected. The company said it expects earnings per share between 49 cents and 59 cents, with revenue between $1.34 billion and $1.44 billion. Analysts had penciled in 62 cents per share and $1.48 billion of revenue. The company’s second-quarter results did come in slightly above expectations.

    AstraZeneca — U.S. listed shares of the drugmaker added more than 5% before the bell. The U.K.-based company reported second-quarter earnings of $2.15 per share on $11.42 billion in revenue. That surpassed the EPS of $1.95 expected by analysts polled by Refinitiv on revenues of $11.03 billion. AstraZeneca also said it would buy a portfolio of preclinical rare disease gene therapies from Pfizer for up to $1 billion.

    Xpeng — The Chinese electric vehicle stock jumped more than 6% in the premarket. Jefferies upgraded shares to a buy from a hold, citing Xpeng’s joint development plan with Volkswagen

    New York Community Bancorp — The regional bank stock rose about 2% before the bell after JPMorgan upgraded New York Community Bancorp to an overweight rating from neutral. The Wall Street firm called the company a “massive market share taker” in its upgrade.

    Mondelez International — Mondelez International added 2.7% before the bell on strong second-quarter results. The snack maker on Thursday reported earnings of 76 cents a share, excluding items, on $8.51 billion in revenue. Analysts polled by Refinitiv had estimated EPS of 69 cents and revenues of $8.21 billion.

    — CNBC’s Tanaya Macheel, Yun Li and Jesse Pound contributed reporting

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  • CNBC Daily Open: The Dow faltered but the U.S. economy charged ahead

    CNBC Daily Open: The Dow faltered but the U.S. economy charged ahead

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    People shop in a Manhattan store on July 27, 2023 in New York City.

    Spencer Platt | Getty Images News | Getty Images

    This report is from today’s CNBC Daily Open, our new, international markets newsletter. CNBC Daily Open brings investors up to speed on everything they need to know, no matter where they are. Like what you see? You can subscribe here.

    What you need to know today

    Streak shattered
    The Dow Jones Industrial Average finally ran out of steam and closed the day in the red, ending its 13-day winning streak. Other major U.S. indexes had a
    losing day as well. Asia-Pacific markets traded mixed Friday. China’s Shanghai Composite advanced 1.38%. Meanwhile, Japan’s Nikkei 225 briefly fell 2% after the Bank of Japan’s meeting, but recovered in afternoon trading.

    ‘Greater flexibility’ for the BoJ
    The Bank of Japan pledged to “conduct yield curve control with greater flexibility,” even as the bank said it would keep 10-year Japan government bonds within a range of “plus and minus 0.5 percentage points.” The BOJ also kept its short-term interest rate target at -0.1%. The Japanese yen rose to around 138.68 to the U.S. dollar, while yields for the 10-year JGB hit their highest level since September 2014.

    What recession?
    The U.S. economy’s showing no signs of stopping. Gross domestic product grew at an annualized 2.4% rate in the second quarter, according to the Commerce Department. That’s higher than the 2% estimate from Dow Jones and the first quarter’s 2% growth. In other good news, the personal consumption price index rose 2.6% in the second quarter, down from 4.1% in the first.

    Intel’s unexpected profit
    Intel returned to profit in the second quarter after two straight quarters of losses, even as revenue fell year-on-year around 15% to $12.9 billion. That’s because its gross margin was nearly 40% on an adjusted basis. Intel’s forecast for its third-quarter earnings was higher than analyst expectations. In sum, investors appeared pleased, pushing shares up more than 7% in extended trading.

    [PRO] Better than tech stocks
    Tech stocks may have driven most of the gains in the stock market, but there are funds that have performed better than them. CNBC Pro’s Weizhen Tan combed Morningstar data and found 11 funds with five-year annualized returns higher than that of the S&P 500 Equal Weight Information Technology index.

    The bottom line

    Alas! It was exciting while it lasted, but the Dow Jones Industrial Average fell 0.67%, snapping its 13-day winning streak. We’ll have to wait longer — maybe for another century! — to see if it can tie the 14-day record it hit 126 years ago in 1897. (And perhaps in time to come market analysts will bemoan Honeywell, which sank 5.7% on worse-than-expected revenue and was the worst performer in the Dow.)

    Other major indexes on Wall Street didn’t fare so well, either. The S&P 500 slipped 0.64% and the Nasdaq Composite lost 0.55% — even Meta’s 4.4% jump couldn’t offset a broader decline in the tech-heavy index.

    One thing that isn’t losing momentum, however, is the U.S. economy. Second-quarter GDP growth handily beat analysts’ expectations, and it has consumers to thank. Consumer spending increased 1.6%. That doesn’t sound much, but when you consider how it makes up 68% of all economic activity during the second quarter, a small bump can have an outsized effect.

    The U.S. economy hasn’t contracted since the second quarter of 2022. Other positive economic data released yesterday: Durable goods orders rose 4.7%, more than three times the estimate, and weekly jobless claims fell 7,000 to bring it below estimates. All those statistics make predictions of an imminent recession seem increasingly doubtful.

    Of course, the strength of the economy makes it likelier that the Federal Reserve might hike rates again at its September meeting. This sentiment was reflected in the 2-year Treasury yield — typically the most sensitive to short-term interest rates — which jumped more than 10 basis points to 4.931% after the release of GDP data.

    Still, DoubleLine Capital CEO Jeffrey Gundlach told CNBC that “the Fed should really be happy” with the current inflation rate, suggesting rates are as high as they should go. The personal consumer expenditures price index, the Fed’s favorite inflation gauge, comes out later today, and will give a sense if we’re indeed at the end of the hiking cycle — giving the Dow another shot at making history.

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  • CNBC Daily Open: The Dow lost steam but the U.S. economy didn’t

    CNBC Daily Open: The Dow lost steam but the U.S. economy didn’t

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    People shop in a Manhattan store on July 27, 2023 in New York City.

    Spencer Platt | Getty Images News | Getty Images

    This report is from today’s CNBC Daily Open, our new, international markets newsletter. CNBC Daily Open brings investors up to speed on everything they need to know, no matter where they are. Like what you see? You can subscribe here.

    What you need to know today

    Streak shattered
    The Dow Jones Industrial Average finally ran out of steam and closed the day in the red, ending its 13-day winning streak. Other major U.S. indexes had a
    losing day as well. Europe’s Stoxx 600 index advanced 1.35%, juiced by a 4.2% jump in media stocks and a 4.1% rise in the technology sector.

    What recession?
    The U.S. economy’s showing no signs of stopping. Gross domestic product grew at an annualized 2.4% rate in the second quarter, according to the Commerce Department. That’s higher than the 2% estimate from Dow Jones and the first quarter’s 2% growth. In other good news, the personal consumption price index rose 2.6% in the second quarter, down from 4.1% in the first.

    Intel’s unexpected profit
    Intel returned to profit in the second quarter after two straight quarters of losses, even as revenue fell year-on-year around 15% to $12.9 billion. That’s because its gross margin was nearly 40% on an adjusted basis. Intel’s forecast for its third-quarter earnings was higher than analyst expectations. In sum, investors appeared pleased, pushing shares up more than 7% in extended trading.

    New bank rules
    Banks with more than $100 billion in assets may need to set aside more money against possible losses by July 2028. U.S. regulators announced a set of proposed changes to regulations for the banking industry Thursday. And in response to Silicon Valley Bank’s failure, regulators want more banks to include unrealized losses in their capital ratios under the new rules.

    Another much-anticipated hike
    The European Central Bank on Thursday raised interest rates by 25 basis points, bringing its main rate to 3.75%. The move was widely anticipated, but market watchers aren’t sure if the ECB will pause or continue hiking at its September meeting. Like Federal Reserve Chair Jerome Powell yesterday, ECB President Christine Lagarde left the ECB’s upcoming decision open.

    [PRO] Reasonably priced stocks
    Stock markets have undeniably been rallying, but most of the growth has been driven by Big Tech shares that are trading at expensive valuations, that is, at multiple times their projected earnings. In light of this, Goldman Sachs looked for stocks at a “reasonable” price that are still projected to experience healthy growth.

    The bottom line

    Alas! It was exciting while it lasted, but the Dow Jones Industrial Average fell 0.67%, snapping its 13-day winning streak. We’ll have to wait longer — maybe for another century! — to see if it can tie the 14-day record it hit 126 years ago in 1897. (And perhaps in time to come market analysts will bemoan Honeywell, which sank 5.7% on worse-than-expected revenue and was the worst performer in the Dow.)

    Other major indexes on Wall Street didn’t fare so well, either. The S&P 500 slipped 0.64% and the Nasdaq Composite lost 0.55% — even Meta’s 4.4% jump couldn’t offset a broader decline in the tech-heavy index.

    One thing that isn’t losing momentum, however, is the U.S. economy. Second-quarter GDP growth handily beat analysts’ expectations, and it has consumers to thank. Consumer spending increased 1.6%. That doesn’t sound much, but when you consider how it makes up 68% of all economic activity during the second quarter, a small bump can have an outsized effect.

    The U.S. economy hasn’t contracted since the second quarter of 2022. Other positive economic data released yesterday: Durable goods orders rose 4.7%, more than three times the estimate, and weekly jobless claims fell 7,000 to bring it below estimates. All those statistics make predictions of an imminent recession seem increasingly doubtful.

    Of course, the strength of the economy makes it likelier that the Federal Reserve might hike rates again at its September meeting. This sentiment was reflected in the 2-year Treasury yield — typically the most sensitive to short-term interest rates — which jumped more than 10 basis points to 4.931% after the release of GDP data.

    Still, DoubleLine Capital CEO Jeffrey Gundlach told CNBC that “the Fed should really be happy” with the current inflation rate, suggesting rates are as high as they should go. The personal consumer expenditures price index, the Fed’s favorite inflation gauge, comes out later today, and will give a sense if we’re indeed at the end of the hiking cycle — giving the Dow another shot at making history.

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  • Intel stock rallies after earnings show AI data-center beat, strong PC sales

    Intel stock rallies after earnings show AI data-center beat, strong PC sales

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    Intel Corp. shares surged in the extended session Thursday after the chip maker posted a surprise profit, but while data-center sales came in better than expected, a larger beat in PC product sales drove margin improvement.

    Intel
    INTC,
    +0.55%

    shares surged around 8% after hours, following a 0.6% rise to close the regular session at $34.55.

    The company reported second-quarter net income of $1.48 billion, or 35 cents a share, versus a loss of $454 million, or 11 cents a share, in the year-ago period. After adjusting for restructuring charges and other items, Intel reported 13 cents a share, versus net income of 28 cents a share a year ago.

    Revenue fell to $12.95 billion from $15.32 billion in the year-ago period, and adjusted gross margins came in at 39.8%, the company said.

    Intel had forecast an adjusted second-quarter loss of 4 cents a share on revenue of about $11.5 billion to $12.5 billion for the current period, and adjusted gross margins of about 33.2% for the quarter.

    Analysts surveyed by FactSet, on average, expected a loss of 4 cents a share on revenue of $12.12 billion.

    The margin beat was “largely a function of revenue,” Intel Chief Financial Officer David Zinsner told analysts on a conference call, and that revenue beat was much more pronounced in Intel client, or PC, business than it was data center.

    “We had obviously beat revenue significantly, and we’ve got a good follow-through in the fixed-cost nature of our business, and so that really was what helped us outperform significantly on the gross-margin side in the second quarter,” Zinsner told analysts.

    Intel posted PC-group sales of $6.8 billion and data-center sales of $4 billion, while analysts surveyed by FactSet had forecast $6.08 billion and $3.8 billion, respectively.

    Before the conference call, Edward Jones analyst Logan Purk told MarketWatch in an interview following the report that most of the improvement in Intel’s gross margin came from the unexpected amount of growth in the PC business.

    “The magnitude of client computing growth, and how the PC market is recovering faster than anticipated,” came as a surprise, Purk told MarketWatch. The analyst, who has a hold rating on Intel, said he expects sequential single-digit improvement in data center going forward.

    Still, on the call, Intel Chief Executive Pat Gelsinger hammered home the point that Intel was wholeheartedly going after the AI market, which is expected to be dominated by Nvidia Corp.
    NVDA,
    +0.99%
    ,
    and to a lesser extent, by Advanced Micro Devices Inc.
    AMD,
    +0.92%
    ,
    which reports earnings on Tuesday.

    “We see AI being infused in everything and there’s going to be AI chips for the edge, AI chips for the communications infrastructure, AI chips for sensing devices, for automotive devices, and we see opportunities for us both as a product provider and as a foundry and technology provider across that spectrum,” Gelsinger said.

    Meanwhile, network and edge sales came in at $1.4 billion, while analysts called for $1.48 billion, and foundry services revenue rose to $232 million for the quarter, while Wall Street looked for $149.2 million.

    “In the third quarter, we do obviously at the midpoint see revenue growth sequentially and so that will be helpful in terms of gross margin,” Zinsner told analysts on the call. “We expect, again, pretty good follow-through as we get that incremental revenue.”

    Intel forecast third-quarter earnings of about 20 cents a share on revenue of about $12.9 billion to $13.9 billion and adjusted gross margins of about 43% for the current quarter. Analysts surveyed by FactSet had forecast third-quarter adjusted earnings of 16 cents a share on revenue of $13.22 billion.

    Read: Intel may have bottomed, but earnings will show if chip maker can hope to catch up to Nvidia and AMD in AI

    Year to date, Intel shares have gained nearly 31%, while the PHLX Semiconductor Index 
    SOX,
    +1.86%

    has surged 49%, the S&P 500
    SPX,
    -0.64%

    has grown 18%, the Nasdaq Composite
    COMP,
    -0.55%

    has gained 34% and the Dow Jones Industrial Average
    DJIA,
    -0.67%

    is up more than 6%.

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  • U.S. stocks open higher ahead of Big Tech earnings, central-bank decisions

    U.S. stocks open higher ahead of Big Tech earnings, central-bank decisions

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    U.S. stock indexes opened higher on Monday, as the Dow Jones Industrial Average looking to extend its 10-session winning streak. Investors are awaiting a batch of earnings reports from megacap growth and technology companies while eying on monetary-policy decisions from the world’s major central banks amid continued signs that inflation is easing. The Dow industrials
    DJIA,
    +0.52%

    rose 88 points, or 0.3%, to 35,319. The S&P 500
    SPX,
    +0.40%

    gained 0.4% and the Nasdaq Composite
    COMP,
    +0.19%

    advanced 0.5%. Corporate results due on Monday include Domino’s Pizza
    DPZ,
    +0.12%
    ,
    Whirlpool
    WHR,
    +0.69%
    ,
    Logitech
    LOGI,
    -0.80%

    and NXP Semiconductors
    NXPI,
    -1.13%
    .
    Alphabet
    GOOGL,
    +1.26%

    and Microsoft
    MSFT,
    +0.39%

    will report their numbers on Tuesday; Meta
    META,
    -0.90%

    on Wednesday; and Intel
    INTC,
    -1.15%

    on Thursday. The Federal Reserve is expected to raise interest rates by 25 basis points after its policy meeting this week. Policymakers will release a statement announcing their decision Wednesday at 2 p.m. Eastern, while Fed Chair Jerome Powell will hold a press conference at 2:30 p.m..

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  • Cramer: The Cassandras are wrong about the market (again) — here’s why I’m upbeat

    Cramer: The Cassandras are wrong about the market (again) — here’s why I’m upbeat

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    Visitors around the ‘Charging Bull’ statue near the New York Stock Exchange (NYSE) in New York, US, on Thursday, June 29, 2023.

    Victor J. Blue | Bloomberg | Getty Images

    The boogeymen continue to be fictional, despite endless attempts to drum up fear and hasten the departure of millions of scared investors. I’m calling the endless negative prattle the “Bear Bilge,” the stuff thrown at us that seems so cerebral and intellectual, but just turns out to miss the mark.

    I’m being plenty genteel in that summary. I won’t stay that way.

    You know my thesis by now. There are dozens of commentators who come on-air and posit the “hard landing” scenario for the economy, making it clear that we are indeed on the eve of destruction. These Cassandras are from two camps. The first is made up of negative analysts who dug in their heels and overstayed their welcome. The second group is wealthy hedge fund managers and individuals who see no harm in generating chills simply because they don’t think they are doing so. They regard their fear-mongering as first class advice that can’t possibly have consequences. I get that. If the market crashes they will be lauded for a lifetime. if it percolates, big deal — they didn’t tell you to sell, they just told you not to buy. 

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  • Option demand explodes in June as investors use bullish bets to chase stock-market rally

    Option demand explodes in June as investors use bullish bets to chase stock-market rally

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    Trading in U.S. stock option contracts has surged in 2023 as retail and institutional traders have harnessed bullish call options to chase a runaway rally in U.S. stocks, market analysts told MarketWatch.

    As of Friday, 46 million option contracts linked to U.S. equity indexes, individual stocks and exchange-traded funds have traded hands every trading session on average this month, according to an analysis by Callie Cox, a U.S. equity strategist at eToro.

    This means that, barring a sudden drop-off in trading activity, June is on track to be the busiest month for option traders ever, Cox said. That is particularly notable given that the summer months are typically more placid on Wall Street.

    “It’s pretty incredible for a summer month. It shows how engaged investors are after such a strong rally,” said Callie Cox, a U.S. equity strategist at eToro, during an interview with MarketWatch.


    ETORO

    Much of the demand has centered on call options: trading volume in these contracts has averaged 26 million a day so far, leaving June on track for the heaviest month of call buying since November 2021, Cox said.

    Several overlapping trends have contributed to the surge in option demand, market analysts said.

    Investors wary about a rally that recently carried the S&P 500 index to its highest level in 14 months have opted to buy short-dated calls. Often these are contracts tied to the S&P 500 or the index-tracking SPDR S&P 500 exchange-traded fund with less than 24 hours left until expiration, a class of options referred to as “0DTEs” for “zero days to expiration.”

    Some traders see these cheap short-term bets as a particularly affordable, if risky, strategy for reaping gains as the market marches higher, according to market analysts and portfolio managers who spoke with MarketWatch.

    And when stocks pull back, investors often change their strategy and instead of buying calls, opt to take advantage by buying or selling put options.

    While a call represents a bet that a given index, stock or currency will rise, a put represents the opposite.

    In addition to betting on calls tied to popular equity indexes and exchange-traded funds like the S&P 500 or the Invesco QQQ Trust Series 1 ETF
    QQQ,
    -0.99%
    ,
    investors are also scooping up bullish options tied to Nvidia Corp. and other market leaders, hoping to maximize any returns from the artificial intelligence boom.

    The Wall Street Journal reported earlier this week that trading in call options tied to shares of Nvidia Corp.
    NVDA,
    -1.90%

    and two other chip stocks, Advanced Micro Devices
    AMD,
    -0.62%

    and Intel Corp.,
    INTC,
    +0.89%

    has surged fivefold since the beginning of the year, citing data from Cboe Global Markets, owner of the world’s largest options exchange.

    But demand for calls has expanded beyond megacap technology names into areas of the market that have trailed since the start of the year, including small-cap stocks and others, which have rallied in June.

    The Russell 2000
    RUT,
    -1.44%
    ,
    an index that tracks small-cap stocks traded in the U.S., is up nearly 5% year-to-date. As of the end of May, it was marginally negative for the year, options experts said.

    “With mega cap technology leading the indexes higher, investors started to play catch-up by trying to buy the second-tier and heavily shorted companies,” said Alon Rosin, head of equity derivatives at Oppenheimer, in emailed commentary shared with MarketWatch.

    This means that investors’ rush to try to keep up with the market hasn’t only benefited hot AI-stocks.

    Amy Wu Silverman, head of derivatives strategy at RBC Capital Markets, made a similar observation in a recent note to clients where she pointed out that call buying has surged for both companies expected to benefit from the AI boom, as well as stocks in an RBC basket of companies that are threatened by it — stocks like Robert Half International
    RHI,
    -0.54%
    ,
    Chegg Inc.
    CHGG,
    -4.00%

    and Yext Inc.
    YEXT,
    -2.74%
    ,
    she said.

    Silverman said heavy call buying in this group is indicative of the market’s “extreme call exuberance.”

    Call buying has helped send popular indicators of positioning like the put-call ratio and skew, which measures the cost of downside protection via puts vs. demand for upside exposure via calls, to their lowest levels of the year earlier this month.

    “People are reaching for upside via calls, and you’re seeing skew falling due to the fact that everybody has been buying calls,” said Mark Callahan, head of trading and a portfolio manager at Aptus Capital Advisors, during a phone interview with MarketWatch.

    Callahan manages several active exchange-traded funds that require heavy option trading.

    U.S. stocks have marched higher this year, with the S&P 500 rising for five straight weeks through June 16, its longest streak of weekly gains since November 2021. The Nasdaq Composite
    COMP,
    -1.01%

    has seen even stronger performance, and its eight-week win streak has been heralded as the tech-heavy index’s longest rally since 2019, according to FactSet data.

    The S&P 500 has risen more than 13% so far this year, while the Nasdaq has gained more than 30%. Both have erased much of their losses from 2022, which was the worst year for stocks since 2008. Last week, both the S&P 500 and Nasdaq hit their highest levels since April 2022.

    However, there are some signs that the torrid rally might be in the midst of a pullback as the S&P 500, Nasdaq and Dow Jones Industrial Average
    DJIA,
    -0.65%

    are all on track to finish the week lower on Friday.

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  • Intel to build $25 billion advanced chip plant in Israel, Netanyahu says

    Intel to build $25 billion advanced chip plant in Israel, Netanyahu says

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    Intel Corp. plans to build a “huge and unprecedented” $25 billion advanced chip manufacturing plant in Israel, Prime Minister Benjamin Netanyahu announced Sunday.

    The agreement in principle would see a factory in Kiryat Gat open by 2027, according to a statement from Israel’s Finance Ministry.

    “This is the largest investment ever in the State of Israel,” Netanyahu’s office said in a tweet Sunday. “It is an expression of great confidence in the Israeli economy and reflects the strength of the free economy we have built, and the technological economy we’re developing here.”

    Intel has operated in Israel since 1974, and has a number of facilities there.

    An Intel
    INTC,
    +1.54%

    spokesperson confirmed the company’s “intention to expand manufacturing capacity in Israel” in support of Chief Executive Pat Gelsinger’s “IDM 2.0” strategy, which includes expanding manufacturing capabilities around the world.

    Intel is looking to reduce its reliance on Asian chip manufacturing to avoid potential snags in the global supply chain. Last week, the Santa Clara, Calif.-based company announced a $4.6 billion semiconductor assembly and test facility in Poland.

    Intel shares rallied to their best week in 14 years Friday, as analysts and investors expressed excitement about opportunities for AI to drive stronger growth.

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  • Why Intel’s stock is falling as Nvidia leads the rest of the semiconductor sector on a massive surge

    Why Intel’s stock is falling as Nvidia leads the rest of the semiconductor sector on a massive surge

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    Chip stocks experienced a significant surge Thursday in the wake of Nvidia Corp.’s upbeat commentary on AI-fueled demand — with one notable exception.

    Shares of Intel Corp.
    INTC,
    -5.52%

    were down more than 5% in afternoon trading Thursday, leading Dow Jones Industrial Average
    DJIA,
    -0.11%

    laggards by a wide margin, on a day when Nvidia Corp.’s
    NVDA,
    +24.37%

    stock was up 26% and the PHLX Semiconductor Index
    SOX,
    +6.81%

    was ahead 6%.

    Read: Chip index heads for highest close in 13 months as Nvidia momentum lifts semiconductor stocks

    Nvidia delivered a stratospheric beat on its quarterly revenue outlook Wednesday afternoon, with executives discussing how spending on artificial intelligence is already starting to drive sizable financial benefits for the company. That discussion has Wall Street thinking that many other chip makers will also be able to capitalize on the same wave of interest in the hot technology — shares of Monolithic Power Systems Inc.
    MPWR,
    +17.46%
    ,
    Advanced Micro Devices Inc.
    AMD,
    +11.16%

    and Taiwan Semiconductor Manufacturing Co.
    2330,
    +3.43%

    TSM,
    +12.00%

    all joined Nvidia in gaining by double-digit percentages in Thursday’s session.

    Intel, though, was a key outlier. Nvidia’s commentary seemed to make investors more worried that Intel is behind the curve on what some see as a massive technological revolution.

    Nvidia CFO on record-breaking forecast: ‘The inflection point of AI is here’

    Intel’s revenue and profits from central processing units look “even more at risk” after Nvidia’s report, while Intel doesn’t have “any real” competitive position in graphics processing units or generative-AI compute, wrote Mizuho’s Jordan Klein, a desk-based analyst associated with the company’s sales team and not its research arm.

    Nvidia’s earnings call “will reinforce the negative view that [Intel] and all their CPU share is a major loser and share donor to GPU, ASICs and lower power ARM design chips on the way,” Klein added.

    While Nvidia GPUs typically would run alongside CPUs from either Intel or AMD, Nvidia has been making inroads in CPUs. Chief Financial Officer Colette Kress said on Nvidia’s call that the company has seen “growing momentum for Grace with both CPU-only and CPU-GPU opportunities across AI and cloud and supercomputing applications.”

    Read: ‘Ride the Nvidia wave.’ Wall Street says the ‘undeniably pricey’ stock can keep roaring.

    Nvidia is perceived to be ahead of the pack in AI-related computing technology, but AMD is at least in a better position than Intel, with more of a one-stop shop across CPUs and GPUs. That’s likely why AMD’s stock is riding on Nvidia’s coattails Thursday, up more than 10% in afternoon action.

    AMD is “the only other real GPU supplier,” Klein wrote, though the company “could lose CPU spend in process and [has] a far way to go to catch [Nvidia].”

    In his view, it “will take some time for more advanced and higher performance GPU and software platform to ramp and really drive upside potential” at AMD. “But seeing how fast and much [Nvidia] benefited, few will want to wait and see how long that takes for AMD.”

    A more clear beneficiary, he noted, is Taiwan Semiconductor, whose stock was up more than 12% Thursday. You “cannot get any of these GPUs, inference, etc. without their fabs,” according to Klein.

    As for Intel, Klein likes that the company is approaching a second-quarter bottom and positioned to capitalize on a personal-computer refresh, but he said its stock “feels totally stuck at best and could get shorted.”

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  • 20 AI stocks expected to post the highest compound annual sales growth through 2025

    20 AI stocks expected to post the highest compound annual sales growth through 2025

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    Things move quickly in the world of artificial intelligence. It is easy to sit back and complain about developments that could be disruptive, but sometimes investors are best served by putting emotions aside and observing new developments and how they affect markets. Could AI developments and related trends make you a lot of money?

    Below is a new screen showing a group of AI-oriented companies expected to increase their sales most rapidly through 2025, based on consensus estimates among analysts polled by FactSet. Then we show expected revenue growth rates for the largest AI-oriented companies in the screen.

    Over the long haul, many businesses might perform more efficiently by employing AI. Maybe this technology can create an economic revolution similar to the one that moved the majority of the working population away from agricultural labor during the 19th and 20th centuries.

    Back in February, we screened 96 stocks held by five exchange-traded funds focused on AI and related industries and listed the 20 that analysts thought would rise the most over the following 12 months.

    Three months is a long time for AI, and the shakeout hasn’t even started.

    Read: Congress and tech seem open to regulating AI efforts, but that doesn’t mean it will happen

    There is no way to predict how politicians will react to perceived or real threats of AI and machine learning. And the largest U.S. tech players are doing everything they can to employ the new technology and remain dominant. But that doesn’t mean they will grow more quickly than smaller AI-focused players.

    A new AI stock screen

    Once again we will begin a screen with these five ETFs:

    • The Global X Robotics & Artificial Intelligence ETF
      BOTZ,
      +0.97%

      BOTZ was established 2016 and has $1.8 billion in assets under management. The fund tracks an index of companies listed in developed markets that are expected to benefit from the increased utilization of robotics and AI. There are 44 stocks in the BOTZ portfolio, which is weighted by market capitalization and rebalanced once a year. Its largest holding is Intuitive Surgical Inc.
      ISRG,
      +0.53%
      ,
      which makes up 10% of the portfolio, followed by Nvidia Corp.
      NVDA,
      +3.30%

      at 9.4%.

    • The iShares Robotics and Artificial Intelligence Multisector ETF
      IRBO,
      +1.64%

      holds 116 stocks that are equal-weighted, as it tracks a global index of companies that derive at east 50% of revenue from robotics or AI, or have significant exposure to related industries. This ETF was launched in 2018 and has $304 million in assets.

    • The $246 million First Trust Nasdaq Artificial Intelligence & Robotics ETF
      ROBT,
      +1.83%

      has 107 stocks in its portfolio, with a modified weighting based on how directly companies are involved in AI or robotics. It was established in 2018.

    • The Robo Global Artificial Intelligence ETF
      THNQ,
      +1.81%

      has $26 million in assets and was established in 2020. I holds 69 stocks and isn’t concentrated. It uses a scoring system to weight its holdings by percentage of revenue derived from AI, with holdings also subject to minimum market capitalization and liquidity requirements.

    • The newest ETF on this list is the WisdomTree Artificial Intelligence and Innovation Fund
      WTAI,
      +2.42%
      ,
      which was established in December and has $13 million in assets and holds 73 stocks in an equal-weighted portfolio. According to FactSet, stocks are handpicked and selected companies “generate at least 50% of their revenue from AI and innovation activities, including those related to software, semiconductors, hardware technology, machine learning and innovative products.”

    Altogether and removing duplicates, the five ETFs hold 270 stocks of companies in 23 countries. We first narrowed the list to 197 covered by at least nine analysts and for which consensus sales estimates are available through calendar 2025. We used calendar-year estimates because some companies have fiscal years that don’t match the calendar.

    Here are the 20 screened AI-related companies expected by analysts to have the highest compound annual growth rates (CAGR) for sales from 2023 through 2025. Sales estimates are in millions of U.S. dollars. The list also shows which of the above five ETFs holds each stocks.

    Company

    Ticker

    Estimated sales – 2023 ($mil)

    Estimated sales – 2024 ($mil)

    Estimated sales – 2025 ($mil)

    Two-year estimated sales CAGR through 2025

    Held by

    BioXcel Therapeutics Inc.

    BTAI,
    -2.47%
    $5

    $39

    $121

    411.5%

    WTAI

    Luminar Technologies Inc. Class A

    LAZR,
    +8.82%
    $86

    $266

    $588

    161.0%

    ROBT, WTAI

    BlackBerry Ltd.

    BB,
    +6.01%
    $685

    $769

    $1,925

    67.6%

    ROBT

    Credo Technology Group Holding Ltd.

    CRDO,
    +10.29%
    $183

    $259

    $363

    40.9%

    IRBO

    SentinelOne Inc. Class A

    S,
    +1.05%
    $619

    $881

    $1,176

    37.9%

    WTAI

    Wolfspeed Inc.

    WOLF,
    +5.02%
    $982

    $1,323

    $1,860

    37.6%

    WTAI

    SK hynix Inc.

    000660,
    +1.66%
    $18,319

    $27,899

    $34,542

    37.3%

    WTAI

    Mobileye Global Inc. Class A

    MBLY,
    +1.67%
    $2,109

    $2,782

    $3,920

    36.3%

    ROBT, WTAI

    Snowflake Inc. Class A

    SNOW,
    +1.42%
    $2,811

    $3,863

    $5,139

    35.2%

    IRBO, THNQ, WTAI

    Lemonade Inc.

    LMND,
    +8.08%
    $395

    $471

    $712

    34.2%

    THNQ, WTAI

    Nio Inc. ADR Class A

    NIO,
    +1.39%
    $11,874

    $16,733

    $21,304

    33.9%

    ROBT

    Stem Inc.

    STEM,
    +4.88%
    $607

    $833

    $1,055

    31.8%

    WTAI

    Upstart Holdings Inc.

    UPST,
    +10.37%
    $547

    $768

    $938

    31.0%

    BOTZ, WTAI

    Cloudflare Inc. Class A

    NET,
    +5.84%
    $1,284

    $1,669

    $2,194

    30.7%

    THNQ

    Samsara Inc. Class A

    IOT,
    +1.42%
    $830

    $1,062

    $1,364

    28.2%

    THNQ

    Ambarella Inc.

    AMBA,
    +3.45%
    $287

    $355

    $472

    28.2%

    IRBO, ROBT, THNQ, WTAI

    iflytek Co. Ltd. Class A

    002230,
    -1.34%
    $3,561

    $4,582

    $5,851

    28.2%

    THNQ

    Tesla Inc.

    TSLA,
    +4.41%
    $99,558

    $128,412

    $161,061

    27.2%

    ROBT, THNQ, WTAI

    CrowdStrike Holdings Inc. Class A

    CRWD,
    +2.40%
    $2,935

    $3,793

    $4,739

    27.1%

    THNQ, WTAI

    PB Fintech Ltd.

    543390,
    +1.39%
    $358

    $462

    $573

    26.5%

    IRBO

    Source: FactSet

    Click the tickers for more about each company or ETF.

    Click here for Tomi Kilgore’s detailed guide to the wealth of information for free on the MarketWatch quote pages.

    We have screened for expected revenue growth, rather than for earnings or cash flow, because in a newer tech-oriented business area, investors are most likely to consider the top line as companies sacrifice profits to build market share.

    It is important to do your own research if you consider purchasing any individual stock, to form your own opinion about a company’s ability to remain competitive over the long term. Starting from the top of the list, BioXcel Therapeutics Inc.
    BTAI,
    -2.47%

    is expected to show exponential sales growth, but that is from a low expected baseline this year.

    What about the largest AI-related companies held by these ETFs?

    Here are the largest 20 companies in the screen by market capitalization, ranked by expected sales CAGR from 2022 through 2025. Once again the sales estimates are in millions of U.S. dollars, but the market caps are in billions.

    Company

    Ticker

    Estimated sales – 2023 ($mil)

    Estimated sales – 2024 ($mil)

    Estimated sales – 2025 $mil)

    Two-year estimated sales CAGR through 2025

    Market Cap ($bil)

    Held by

    Tesla Inc.

    TSLA,
    +4.41%
    $99,558

    $128,412

    $161,061

    27.2%

    $528

    ROBT, THNQ, WTAI

    Nvidia Corp.

    NVDA,
    +3.30%
    $29,839

    $36,877

    $46,154

    24.4%

    $722

    BOTZ, IRBO, ROBT, THNQ, WTAI

    Taiwan Semiconductor Manufacturing Co. Ltd. ADR

    TSM,
    +5.83%
    $71,434

    $86,284

    $101,112

    19.0%

    $445

    ROBT, WTAI

    Advanced Micro Devices Inc.

    AMD,
    +2.23%
    $22,976

    $26,823

    $30,359

    15.0%

    $163

    IRBO, ROBT, THNQ, WTAI

    ASML Holding NV ADR

    ASML,
    +2.83%
    $28,974

    $32,374

    $37,796

    14.2%

    $263

    THNQ, WTAI

    Microsoft Corp.

    MSFT,
    +0.95%
    $223,438

    $251,028

    $282,397

    12.4%

    $2,318

    IRBO, ROBT, THNQ, WTAI

    Samsung Electronics Co. Ltd.

    005930,
    -0.61%
    $200,595

    $227,286

    $252,129

    12.1%

    $292

    IRBO, WTAI

    Amazon.com Inc.

    AMZN,
    +1.85%
    $559,438

    $626,549

    $702,395

    12.1%

    $1,164

    IRBO, ROBT, THNQ, WTAI

    Adobe Inc.

    ADBE,
    +3.34%
    $19,470

    $21,784

    $24,276

    11.7%

    $158

    IRBO, THNQ

    Netflix Inc.

    NFLX,
    +1.86%
    $33,915

    $38,067

    $42,275

    11.6%

    $148

    IRBO, THNQ

    Tencent Holdings Ltd.

    700,
    -0.58%
    $88,727

    $99,212

    $110,556

    11.6%

    $422

    IRBO, ROBT

    Salesforce Inc.

    CRM,
    +2.37%
    $34,392

    $38,273

    $42,786

    11.5%

    $205

    IRBO, THNQ

    Alphabet Inc. Class A

    GOOGL,
    +1.11%
    $299,810

    $333,077

    $369,195

    11.0%

    $710

    IRBO, ROBT, THNQ, WTAI

    Intel Corp.

    INTC,
    -1.20%
    $51,060

    $57,799

    $62,675

    10.8%

    $122

    IRBO, ROBT

    Meta Platforms Inc. Class A

    META,
    +1.53%
    $125,901

    $139,545

    $154,259

    10.7%

    $528

    IRBO, WTAI

    Alibaba Group Holding Ltd. ADR

    BABA,
    +2.17%
    $134,140

    $148,206

    $162,199

    10.0%

    $235

    ROBT, THNQ

    Texas Instruments Inc.

    TXN,
    +1.20%
    $17,941

    $19,433

    $20,799

    7.7%

    $148

    IRBO

    Apple Inc.

    AAPL,
    +0.36%
    $390,845

    $416,761

    $445,956

    6.8%

    $2,706

    IRBO, WTAI

    Siemens Aktiengesellschaft

    SIE,
    +2.55%
    $84,681

    $89,145

    $93,925

    5.3%

    $130

    ROBT

    Johnson & Johnson

    JNJ,
    -0.20%
    $98,761

    $100,990

    $103,870

    2.6%

    $414

    ROBT

    Source: FactSet

    Tech-stock picks that are small and focused: This fund invests in unsung innovators. Here are 2 top choices.

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