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Tag: NVIDIA

  • Nvidia Proves It Still Has the Best Software for Better-Looking Games

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    Nvidia’s latest version of its Deep Learning Super Sampling technology, aka DLSS, hit the scene early Wednesday. With the latest update in tow comes a slightly redesigned upscaler that is now better than ever, at least for most games. If you were hoping that you would be able to push your frame rates to ludicrous levels, you’ll need to wait.

    DLSS 4.5, which Nvidia announced back during CES 2026 last week, incorporates a new version of the existing transformer model upscaler. The original transformer model was a major part of the DLSS 4 update from 2025, which took an AI model trained on gameplay to generate the look you should see at higher resolution. Upscalers like DLSS take a frame at a lower resolution and massage it so it appears at a higher resolution, which enhances the visual resolution to the size your display supports while improving performance. With AMD and Intel nipping at its heels, Nvidia felt it needed to show up with even more frame generation software for 2026. Instead, the latest update proves that small enhancements make a bigger difference than the oft-touted “fake frames.”

    The big update for DLSS 4.5 is only perceivable when glancing at small environmental details. Previous versions of DLSS had a hard time picking up on minute environmental effects, like sparks from a fire. DLSS 4.5 is supposed to bring those details back. Plus, 4.5 should help sharpen textures and eliminate ghosting around some environmental details, where an image would appear to bleed from frame to frame.

    Small improvements make a big difference

    I tested DLSS 4.5 on a Framework Laptop 16 packed with a GeForce RTX 5070 laptop GPU. This is one of Nvidia’s lower-end graphics cards with only 8GB of VRAM. DLSS makes more of a difference for players running cheaper gaming rigs than for platforms with higher-end specs. I used a 1440p monitor for my testing, as the RTX 5070, especially the laptop version, isn’t going to enable a quality experience at 4K resolution.

    I compared DLSS 4 and DLSS 4.5 in games like Marvel’s Spider-Man II, Black Myth: Wukong, and The Outer Worlds II. The updated Nvidia app now allows players to override the DLSS model for supported games. The preset “L” and “M” models are both based on DLSS 4.5. “L” is for ultra-performance mode built for trying to hit 4K resolution, though “M” should fit more players’ needs who just want better performance in games at below 4K.

    DLSS 4.5 is a big step up. In Black Myth: Wukong, I saw a bump up to around 50 fps and even 60 fps in some scenes with the same graphics settings using the model M preset compared to DLSS 4, which hovered between 45 and 48 with very high graphics settings and ray tracing set to medium. Those promised graphical effects, like sparks coming off of fires, are indeed real. Latency with frame generation is marginally better with the update as well. In Spider-Man 2, running at medium settings with ray tracing set to high, I saw few performance improvements, though foliage appeared slightly sharper running DLSS 4.5.

    The one place I saw a drop in performance was in Outer Worlds II, which took a small hit looking at the same scene. However, I noticed that ground foliage and distant plants appeared sharper, even while using the same graphics settings. The small performance drop would necessitate some fine-tuning with DLSS settings to reach a higher standard frame rates, but I would take higher fidelity any day of the week.

    Dynamic frame gen won’t be here until later

    Small graphical enhancements are one thing, but Nvidia’s promising to maximize your monitor’s refresh rate with its new 6x frame gen capabilities. That will also spark a new “dynamic” frame gen mode, which will modify the frame gen between 4x and 6x to try and maximize your display’s refresh rate. Currently, you won’t find an override for 6x frame generation in the Nvidia app. In a message sent to Gizmodo, Nvidia said the dynamic frame gen plugin will be available to developers through the DLSS Multi Frame Generation Streamline Plugin this spring. For now, we’re stuck with the current 4x model.

    Dynamic mode makes sense. It pushes the frame rate to what your monitor is technically capable of. The one thing that Nvidia constantly fails to mention is that players actually need playable frame rates before they enable frame gen. You can get by with around 50 fps, but for fewer visual hiccups, you want at or close to 60 fps. There’s a certain point where frame gen is a tradeoff between performance and latency.

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    Kyle Barr

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  • A 22-Year-Old Founder Wants to Build the Moon’s First Hotel by 2032

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    Skyler Chan launched GRU last year. Courtesy GRU Space

    Civilian travel to the Moon remains years away, but a California startup is already making plans to host overnight guests there. GRU Space, founded by 22-year-old entrepreneur Skyler Chan, is taking deposits ranging from $250,000 to $1 million for a lunar hotel that has yet to be built.

    “If we solve off-world surface habitation, it’s going to lead to this explosion. We could have billions of human lives maybe born on the Moon and Mars,” Chan told Observer. He founded GRU last year after graduating from the University of California, Berkeley, and previously interned at Tesla.

    The hotel, which the company expects to open by 2032, will initially consist of an inflatable structure designed to accommodate up to four guests for multi-day stays. Over time, it would evolve into a brick building inspired by San Francisco’s Palace of Fine Arts. More ambitiously, GRU argues that the project could do more than jump-start space tourism—an industry it sees as essential to sustaining a future lunar ecosystem—and instead lay the groundwork for entire cities beyond Earth.

    Chan founded GRU with the goal of building the first permanent structure off Earth. His team includes founding technical staff member Kevin Cannon, a professor at the Colorado School of Mines, and advisor Robert Lillis, who also serves as associate director for planetary science at UC Berkeley’s Space Sciences Laboratory. The startup has received seed funding from Y Combinator, joined Nvidia’s Inception Program and counts SpaceX and Anduril among its investors.

    GRU’s initial target customers include adventurers, repeat spaceflight participants and couples looking to elevate their honeymoon plans. While final pricing has not been set, the company said a stay would likely cost more than $10 million and require a $1,000 non-refundable application fee.

    The project’s first milestone is slated for 2029, when GRU plans to launch an initial lunar mission to assess environmental conditions and begin early construction experiments. Two years later, another payload will land near a lunar pit chosen for its protection from radiation and temperatures, with initial hotel development targeted for 2032.

    Animated image of the front door of a hotel with lit up windows Animated image of the front door of a hotel with lit up windows
    A rendering of GRU’s lunar hotel. Courtesy GRU Space

    Chan acknowledged that GRU’s timelines are estimates, but argued that bold ambition is necessary to make progress. “We need to really shoot for the literal moon,” he said.

    According to Chan, today’s space industry is dominated by two forces: governments and billionaire-backed companies. He hopes space tourism can become a third pillar. “Lunar tourism is the best first wedge to spin up the lunar economy,” he said.

    The concept aligns with broader government goals. Lunar tourism has emerged as a focus of U.S. space policy, with NASA Administrator Jared Isaacman recently outlining the nation’s plans to construct a permanent base on the Moon by the end of the decade. NASA wants “to have that opportunity to explore and realize the scientific, economic and national security potential on the moon,” he told CNBC last month.

    GRU says it is well positioned to contribute to those ambitions, with plans that extend far beyond a single hotel. After completing its lodge, the company plans to build roads, warehouses and other infrastructure—first on the Moon, then on Mars. Eventually, it hopes to reinvest profits into resource utilization systems on the Moon, Mars and asteroids.

    “If we’re able to understand how to use resources on the Moon and Mars and beyond, that is going to enable us to not be tethered to Earth, and start being interplanetary,” said Chan. “It’s a Promethean moment.”

    A 22-Year-Old Founder Wants to Build the Moon’s First Hotel by 2032

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    Alexandra Tremayne-Pengelly

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  • If You’d Invested Just $1,000 in Nvidia 10 Years Ago, You’d Be Sitting on This Fortune Today

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    • Nvidia would’ve turned a $1,000 investment into more than $250,000 over the last 10 years.

    • Most of that growth has occurred during the last few years, demonstrating the importance of holding on to your winners.

    • 10 stocks we like better than Nvidia ›

    It’s no secret that Nvidia (NASDAQ: NVDA) has been an incredible investment, especially during the artificial intelligence (AI) boom. The chipmaker’s graphics processing units (GPUs) are in high demand from tech companies building out their data centers.

    Even with that in mind, the amount of money an early investor could’ve made in Nvidia is still hard to believe.

    Image source: Nvidia.

    If you’d invested $1,000 in Nvidia stock 10 years ago and held on to your shares until today, you’d be sitting on $255,740 (as of Jan. 10). That’s over a quarter of a million from one winning stock. An identical investment in the S&P 500 would be worth $4,309.

    There are several valuable lessons to be learned from Nvidia’s success. You can get life-changing results from investing in winning stocks, and it’s definitely possible to find them as a retail investor. The Motley Fool first recommended Nvidia over 20 years ago, in April 2005.

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    It’s not just about finding winning stocks, though. You also need to stick with them through the highs and the lows, provided you still believe they’re quality companies. Let’s revisit the hypothetical of investing $1,000 in Nvidia 10 years ago. After five years, your investment would’ve been worth $18,320. You might have been tempted to take your profits, and that would mean missing out on the $237,420 in returns Nvidia delivered over the next five years.

    Nvidia almost certainly won’t be delivering those kinds of results anymore, but it remains a sound investment due to its role as one of the leading AI companies. The chipmaker serves as a solid foundational stock in a portfolio. You may also want to invest in some smaller stocks that you think have the potential to be the next Nvidia.

    Before you buy stock in Nvidia, consider this:

    The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.

    Consider when Netflix made this list on December 17, 2004… if you invested $1,000 at the time of our recommendation, you’d have $482,451!* Or when Nvidia made this list on April 15, 2005… if you invested $1,000 at the time of our recommendation, you’d have $1,133,229!*

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  • CES 2026: Everything revealed, from Nvidia’s debuts to AMD’s new chips to Razer’s AI oddities  | TechCrunch

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    CES 2026 is in full swing in Las Vegas, with the show floor open to the public after a packed couple of days occupied by press conferences from the likes of Nvidia, Sony, and AMD and previews from Sunday’s Unveiled event. 

    As has been the case for the past two years at CES, AI is at the forefront of many companies’ messaging, though the hardware upgrades and oddities that have long defined the annual event still have their place on the show floor and in adjacent announcements. We’ll be collecting the biggest reveals and surprises here, though you can still catch the spur-of-the-moment reactions and thoughts from our team on the ground via our live blog right here

    Let’s dive right in, starting with some of Monday’s biggest players. 

    Nvidia reveals AI model for autonomous vehicles, showcases Rubin architecture

    Nvidia CEO Jensen Huang delivered an expectedly lengthy presentation at CES, taking a victory lap for the company’s AI-driven successes, setting the stage for 2026, and yes, hanging out with some robots

    The Rubin computing architecture, which has been developed to meet the increasing computation demands that AI adoption creates, is set to begin replacing Blackwell architecture in the second half of this year. It comes with speed and storage upgrades, but our senior AI editor Russell Brandom goes into the nitty-gritty of what distinguishes Rubin

    And Nvidia continued its push to bring the AI revolution into the physical world, showcasing its Alpamayo family of open source AI models and tools that will be used by autonomous vehicles this year. That approach, as senior reporter Rebecca Bellan notes, mirrors the company’s broader efforts to make its infrastructure the Android for generalist robots

    AMD’s keynote highlights new processors and partnerships 

    AMD chair and CEO Lisa Su delivered the first keynote of CES, with a presentation that featured partners, including OpenAI president Greg Brockman, AI legend Fei-Fei Li, Luma AI CEO Amit Jain, and more. 

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    Beyond the partner showcases, senior reporter Rebecca Szkutak detailed AMD’s approach toward expanding the reach of AI through personal computers using its Ryzen AI 400 Series processors. 

    The standout oddities of CES

    Let’s face it, by this point in the show the major announcements have been made, products have been showcased, and it’s time to eye some of the most brow-raising reveals from CES. We started our list of what stood out to us as odd and noteworthy, but we’re open to more suggestions! 

    Highlights from CES breakout sessions

    CES isn’t all hardware showcases and show floor attractions — there are plenty of additional industry panels and speakers drawing eyeballs. We kept tabs on a few notable highlights, ranging from Palmer Luckey pushing retro aesthetics, to why the “learn once, work forever” era may be over, to previews of the new Silicon Valley-based series “The Audacity,” to the expansion of Roku’s $3 streaming service, to All-In host Jason Calacanis putting a $25,000 bounty on an authentic Theranos device

    Ford’s AI assistant debuts

    Ford is launching its assistant in the company’s app before a targeted 2027 release in its vehicles, with hosting managed by Google Cloud and the assistant itself built using off-the-shelf LLMs. As we noted in our coverage of the news, however, few details were offered around what drivers should expect from their experience with the assistant. 

    Caterpillar, Nvidia partner on automated construction equipment

    As part of the ever-present push for AI’s impact on the physical world, Caterpillar and Nvidia announced a pilot program, “Cat AI Assistant,” which was demonstrated at CES Wednesday. This system, coming to one of Caterpillar’s excavator vehicles, is happening alongside another project to use Nvidia’s Omniverse simulation resources to help with construction project planning and execution. 

    Hands-on with Clicks Communicator

    Image Credits:TechCrunch

    One of the buzziest reveals of the show is the debut phone from Clicks Technology, the $499 Communicator, which brings back BlackBerry vibes with its physical keyboard, plus a separate $79 slide-out physical keyboard that can be used with other devices.

    Check out our full rundown from the show floor here, but the Communicator makes a good first impression, per Consumer Editor Sarah Perez:

    “In our hands-on test, the phone felt good to hold — not too heavy or light, and was easy to grip. Gadway told me the company settled on the device’s final form after dozens of 3D-printed shapes. The winning design for the phone features a contoured back that makes it easy to pick up and hold.

    “The device’s screen is also somewhat elevated off the body, and its chin is curved up to create a recess that protects the keys when you place it face down.”

    Check out the Skylight Calendar 2

    Image Credits:Sarah Perez

    This family planning tool caught our eyes on the show floor, not just for its calendar and planning capabilities, but for its AI capabilities that are able to sync calendars from different sources, create new to-dos based off of messages or photos, appointment reminders, and more. Check out our full impressions here

    Boston Dynamics and Google partner on Atlas robots 

    Hyundai’s press conference focused on its robotics partnerships with Boston Dynamics, but the companies revealed that they’re working with Google’s AI research lab rather than competitors to train and operate existing Atlas robots, as well as a new iteration of the humanoid robot that was shown onstage. Transportation editor Kirsten Korosec has the full rundown

    Amazon’s AI-centric update with Alexa+ is getting the kind of push you’d expect at CES, with the company launching Alexa.com for Early Access customers looking to use the chatbot via their browsers, along with a similar, revamped bot-focused app. Consumer editor Sarah Perez has the details, along with news on Amazon’s revamp to Fire TV and new Artline TVs, which have their own Alexa+ push. 

    On the Ring front, consumer reporter Ivan Mehta runs through the many announcements, from fire alerts to an app store for third-party camera integration, and more. 

    Razer joins the AI deluge with Project AVA and Motoko 

    In the past, Razer has been all about ridiculous hardware at CES, from three-screen laptops to haptic gaming cushions to a mask that landed the company a federal fine. This year, its two attention-grabbing announcements were for Project Motoko, which aims to function similarly to smart glasses, but without the glasses. 

    Then there’s Project AVA, which puts the avatar of an AI companion on your desk. We’ll let you watch the concept video for yourself. 

    Lego Smart Bricks mark the company’s first CES appearance 

    Lego joined CES for the first time to hold a behind-closed-doors showcase of its Smart Play System, which includes bricks, tiles, and Minifigures that can all interact with each other and play sounds, with both the debut sets having a Star Wars theme. Senior writer Amanda Silberling has all the details here

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    Morgan Little

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  • Siemens expands collaboration with Nvidia for industrial AI deployment

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    Siemens and Nvidia have announced an expansion of their existing partnership focused on developing industrial and physical AI solutions for industrial applications.

    The collaboration will see both companies combining resources to create what they call an industrial AI operating system, integrating AI into manufacturing and production workflows across a range of industries.

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    Siemens will contribute hundreds of specialists in industrial AI, along with its hardware and software expertise, while Nvidia will supply AI infrastructure, including simulation models, frameworks, and technical blueprints.

    The initiative includes plans for Siemens to complete graphics processing unit (GPU) acceleration throughout its simulation portfolio, expanding compatibility with Nvidia’s CUDA-X libraries and AI physics models.

    This is intended to allow customers to perform more complex simulations at greater speeds.

    Both companies aim to further this development through generative simulations that leverage Nvidia’s PhysicsNeMo technology and open models, enabling autonomous digital twins capable of real-time engineering design and self-optimisation.

    A key aspect of the partnership involves the creation of fully AI-driven manufacturing sites worldwide.

    The Siemens Electronics Factory in Erlangen, Germany, has been identified as the first location to implement this approach in 2026.

    With the “AI Brain”, the two companies intend to combine software-defined automation with Nvidia Omniverse libraries and infrastructure to enable continuous analysis and virtual testing of factory digital twins. This is expected to drive operational changes based on validated insights.

    Siemens and Nvidia are also looking to extend these capabilities into semiconductor design by incorporating the latter’s CUDA-X libraries and PhysicsNeMo tools into Siemens’ electronic design automation (EDA) suite.

    This integration targets significant efficiency improvements in verification, layout, and process optimisation workflows.

    Siemens president and CEO Roland Busch said: “By combining Nvidia’s leadership in accelerated computing and AI platforms with Siemens’ leading hardware, software, industrial AI and data, we’re empowering customers to develop products faster with the most comprehensive digital twins, adapt production in real time and accelerate technologies from chips to AI factories.”

    Additional features such as AI-assisted layout guidance, debugging support, and circuit optimisation are expected to increase engineering productivity while adhering to manufacturing requirements.

    Joint development efforts will focus on a repeatable blueprint for next-generation AI factories that address high-density computing demands, power management, cooling requirements, and automated operations from planning through deployment.

    This blueprint will combine Siemens’ strengths in electrification and automation with Nvidia’s platform roadmap and simulation capabilities.

    Nvidia founder and CEO Jensen Huang said: “Our partnership with Siemens fuses the world’s leading industrial software with Nvidia’s full-stack AI platform to close the gap between ideas and reality — empowering industries to simulate complex systems in software, then seamlessly automate and operate them in the physical world.”

    Both companies intend to implement these technologies within their own operations before wider industry rollout.

    Existing customers evaluating the new capabilities include Foxconn, KION Group, HD Hyundai, and PepsiCo.

    “Siemens expands collaboration with Nvidia for industrial AI deployment” was originally created and published by Verdict, a GlobalData owned brand.

     


    The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.

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  • Jensen Huang Shakes Vegas With Nvidia’s Physical A.I. Vision at CES

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    Jensen Huang opened CES 2026 with a 90-minute keynote on Nvidia’s latest innovations. Patrick T. Fallon / AFP via Getty Images

    Nvidia CEO Jensen Huang is the biggest celebrity in Las Vegas this week. His CES keynote at the Fontainebleau Resort proved harder to get into than any sold-out Vegas shows. Journalists who cleared their schedules for the event waited for hours outside the 3,600-seat BleauLive Theatre. Many who arrived on time—after navigating the sprawling maze of conference venues and, in some cases, flying in from overseas to see the tech king of the moment—were turned away due to overcapacity and redirected to a watch party outside, where some 2,000 attendees gathered in a mix of frustration and reverence.

    Shortly after 1 p.m., Huang jogged onto the stage, wearing a glistening, embossed black leather jacket, and wished the crowd a happy New Year. He opened with a brisk history of A.I., tracing the last few years of exponential progress—from the rise of large language models to OpenAI’s advances in reasoning systems and the explosion of so-called agentic A.I. All of it built toward the theme that dominated the bulk of his 90-minute presentation: physical A.I.

    Physical A.I. is a concept that has gained momentum among leading researchers over the past year. The goal is to train A.I. systems to understand the intuitive rules humans take for granted—such as gravity, causality, motion and object permanence—so machines can reason about and safely interact with real environments.

    Nvidia enters the self-driving race

    Huang unveiled Alpamayo, a world foundational model designed to power autonomous driving. He called it “the world’s first reasoning autonomous driving A.I.”

    To demonstrate, Nvidia played a one-shot video of a Mercedes vehicle equipped with Alpamayo navigating busy downtown San Francisco traffic. The car executed turns, stopped for lights and vehicles, yielded to pedestrians and changed lanes. A human driver sat behind the wheel throughout the drive but did not intervene.

    One particularly interesting thing Huang discussed was how Nvidia trains physical A.I. systems—a fundamentally different challenge from training language models. Large language models learn from text, of which humanity has produced enormous quantities. But how do you teach an A.I. Newton’s second law of motion?

    “Where does that data come from?” Huang asked. “Instead of languages—because we created a bunch of text that we consider ground truths that A.I. can learn from—how do we teach an A.I. the ground truths of physics? There are lots and lots of videos, but it’s hardly enough to capture the diversity of interactions we need.”

    Nvidia’s answer is synthetic data: information generated by A.I. systems based on samples of real-world data. In the case of Alpamayo, another Nvidia world model—called Cosmos—uses limited real-world inputs to generate far more complex, physically plausible videos. A basic traffic scenario becomes a series of realistic camera views of cars interacting on crowded streets. A still image of a robot and vegetables turns into a dynamic kitchen scene. Even a text prompt can be transformed into a video with physically accurate motion.

    Nvidia said the first fleet of Alpamayo-powered robotaxis, built in the 2025 Mercedes-Benz CLA vehicles, is slated to launch in the U.S. in the first quarter, followed by Europe in the second quarter and Asia later in 2026.

    For now, Alpamayo remains a Level 2 autonomous driving system—similar to Tesla’s Full Self-Driving—which requires a human driver to remain attentive behind the wheel at all times. Nvidia’s longer-term goal is Level 4 autonomy, where vehicles can operate without human supervision in specific, constrained environments. That’s one step below full autonomy, or Level 5.

    “The ChatGPT moment for physical A.I. is nearly here,” Huang said in a voiceover accompanying one of the videos shown during the keynote.

    Jensen Huang Shakes Vegas With Nvidia’s Physical A.I. Vision at CES

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    Sissi Cao

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  • NVIDIA announces DLSS 4.5 at CES 2026

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    Just like last year, NVIDIA has used some of its time on the CES stage to introduce an upgraded version of its real-time image-upscaling technology. The new DLSS 4.5 promises sharper visuals with the 2nd Generation Super Resolution Transformer, which the company says will deliver better temporal stability, reduced ghosting and improved anti-aliasing. The DLSS 4.5 also includes Dynamic Multi Frame Generation, which maximizes frame per second to monitor refresh rate, delivering up to 4K 240Hz path traced performance.

    The 2nd Gen Transformer Super Resolution is available now for all RTX GPUs, while the Dynamic 6x Frame Generation will arrive some time in spring 2026 for the RTX 50 series. It will also be available for more than 400 games through the NVIDIA app.

    Another new feature is RTX Remix Logic, which allows real-time environmental reactions to in-game events. For instance, when a door is opened on screen, the NVIDIA tech can present changes to volumetric conditions, display different weather simulations with particles or alter materials. More than 30 different common events can be detected, and the RTX Remix Logic can make adaptations to volumetrics, particles, material properties and light properties.

    NVIDIA noted that it now has native clients for both Linux and Fire TV. That’s the roundup of major gaming updates from the company’s CES presentation, but NVIDIA CEO Jensen Huang had plenty to talk about earlier today.

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    Anna Washenko

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  • How to watch the NVIDIA CES 2026 press conference with Jensen Huang live

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    During CES 2025, NVIDIA spent much of its keynote touting its leading position in artificial intelligence. Still, the company managed to squeeze in a few notable hardware announcements, including its RTX 5000-series GPUs and Project Digits desktop supercomputer (later redubbed Spark). For this year’s show, the company’s website says it’s “lighting up CES 2026 with the power of AI.” To that end, NVIDIA is going big in Las Vegas, promising hands-on demos in its Fontainebleau booth, replete with the “latest NVIDIA solutions driving innovation and productivity across industries.”

    But if you won’t be in Vegas for the action, don’t worry. Here’s how you can watch the livestream of the company’s January 5 press conference, and what NVIDIA is expected to unveil at CES this year.

    How to watch the NVIDIA CES 2026 keynote

    NVIDIA CEO Jensen Huang will deliver a 90-minute keynote at CES 2026. The event will be livestreamed on Monday, January 5 at 4PM ET via NVIDIA’s website (and likely on YouTube as well). We’ll embed the link here once it’s available.

    What to expect

    NVIDIA’s game plan for CES is suitably vague so far, including “cutting-edge AI, robotics, simulation, gaming and content creation at the NVIDIA Showcase.” It also notes there will be more than 20 demos. Although we’re unsure if all of these will be shown during the keynote, we can at least expect to see them throughout the week of CES.

    NVIDIA arrives at CES as the most valuable publicly traded company in the world (a stunning $4.6 trillion at the time of this writing, albeit down from an even higher valuation earlier in 2025). And given that the health of the US and global economy seems increasingly linked to infrastructure spending on AI data centers — largely powered by chips from NVIDIA and its competitors — expect Huang’s remarks to be as closely followed by Wall Street investors as technology acolytes, if not more so. Will we get any insight on a successor to the company’s Blackwell chip? A more detailed look at how NVIDIA’s partners are applying AI to real-world robotics? Time will tell, but you might want to keep your stock portfolio in a split screen while taking in Huang’s presentation.

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    Katie Teague

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  • Nvidia’s AI empire: A look at its top startup investments | TechCrunch

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    No company has capitalized on the AI revolution more dramatically than Nvidia. Its revenue, profitability, and cash reserves have skyrocketed since the introduction of ChatGPT over three years ago — and the many competitive generative AI services that have launched since. Its stock price has soared, making it a $4.6 trillion market cap company. 

    The world’s leading high-performance GPU maker has used its ballooning fortunes to significantly increase investments in startups, particularly in AI. 

    Nvidia has participated in nearly 67 venture capital deals in 2025, surpassing the 54 deals the company completed in all of 2024, according to PitchBook data. Note that these investments exclude those made by its formal corporate VC fund, NVentures, which also significantly increased its investment pace over that period. (PitchBook says NVentures engaged in 30 deals this year, compared to just one in 2022.)  

    Nvidia has stated that the goal of its corporate investing is to expand the AI ecosystem by backing startups it considers to be “game changers and market makers.”  

    Below is a list of startups that raised rounds exceeding $100 million since 2023 where Nvidia is a named participant, organized from the highest to lowest amount raised in the round. 

    This list shows just how far and wide Nvidia has spread its tentacles in the tech industry, beyond supplying its products.

    The billion-dollar-round club

    OpenAI: Nvidia backed the ChatGPT maker for the first time in October 2024, reportedly writing a $100 million check as part of a colossal $6.6 billion round that valued the company at $157 billion. The chipmaker’s investment was dwarfed by OpenAI’s other backers, notably Thrive, which invested $1.3 billion according to The New York Times. While PitchBook data indicates Nvidia did not participate in OpenAI’s $40 billion funding round that closed in March, the company announced in September that it would invest up to $100 billion in OpenAI over time, structured as a strategic partnership to deploy massive AI infrastructure. Nvidia later revealed in its quarterly filings that it might not follow through, stating, “There is no assurance that any investment will be completed on expected terms, if at all.”

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    Anthropic: In November 2025, Nvidia made its first direct investment in the AI lab, committing up to $10 billion as part of a strategic round that included a $5 billion check from Microsoft. In a “circular” spending agreement, Anthropic committed to spending $30 billion on Microsoft Azure compute capacity, as well as buy Nvidia’s future Grace Blackwell and Vera Rubin systems.

    Cursor: In November, Nvidia made its first strategic investment in the AI-powered code assistant participating in a massive $2.3 billion Series D round co-led by Accel and Coatue. The deal valued Cursor at $29.3 billion, a nearly 15-fold increase since the start of the year. While Nvidia has long been an enterprise customer, the round marked its official entry as a shareholder alongside Google.

    xAI: In 2024, OpenAI tried to persuade its investors not to invest in any of its rivals. But Nvidia participated in the $6 billion round of Elon Musk’s xAI last December anyway. Nvidia will also invest up to $2 billion in the equity portion of xAI’s planned $20 billion funding round, Bloomberg reported, a deal structured to help xAI purchase more Nvidia gear. 

    Mistral AI: Nvidia invested in Mistral for the third time when the French-based large language model (LLM) developer raised a €1.7 billion (about $2 billion) Series C at a €11.7billion ($13.5 billion) post-money valuation in September.   

    Reflection AI: In October, Nvidia was one of the most significant investors in Reflection AI, contributing to a $2 billion funding round that valued the one-year-old startup at $8 billion. Reflection AI is positioning itself as a U.S.-based competitor to Chinese DeepSeek, whose open source LLM offers a less-expensive alternative to closed source models from companies such as OpenAI and Anthropic. 

    Thinking Machines Lab: Nvidia was among a long list of investors who backed former OpenAI chief technology officer Mira Murati’s Thinking Machines Lab’s $2 billion seed round. The funding, which was formally announced in July, valued the new AI startup at $12 billion. 

    Inflection: One of Nvidia’s first significant AI investments also had one of the more unusual (but increasingly common) outcomes. In June 2023, Nvidia was one of several lead investors in Inflection’s $1.3 billion round, a company co-founded by Mustafa Suleyman, the famed founder of DeepMind. Less than a year later, Microsoft hired Inflection’s founders, paying $620 million for a non-exclusive technology license, leaving the company with a significantly diminished workforce and a less defined future. 

    Crusoe: In October, the chipmaker participated in a $1.4 billion Series E round that valued the AI data center developer at $10 billion. Nvidia first backed the company in late 2024 during its Series D. Crusoe is a key infrastructure partner for the ‘Stargate’ project, building massive data center campuses in Texas and Wyoming to be leased to Oracle specifically to power OpenAI’s workloads.

    Nscale: After the startup’s $1.1 billion round in September, Nvidia participated in Nscale’s $433 million SAFE funding in October. That’s a deal that secures future equity for investors. Nscale, which formed in 2023 after spinning out of Australian cryptocurrency mining company Arkon Energy, is building data centers in the U.K. and Norway for OpenAI’s Stargate project

    Wayve: In May 2024, Nvidia participated in a $1.05 billion round for the U.K.-based startup, which is developing a self-learning system for autonomous driving. Nvidia is expected to invest an additional $500 million in Wayve, the startup told TechCrunch in September. Wayve is testing its vehicles in the U.K. and the San Francisco Bay Area. 

    Figure AI: In September, Nvidia participated in Figure AI’s Series C funding round of over $1 billion, which valued the humanoid robotics startup at $39 billion. The chipmaker first invested in Figure in February 2024 when the company raised a $675 million Series B round at a $2.6 billion valuation. 

    Scale AI: In May 2024, Nvidia joined Accel and other tech giants Amazon and Meta to invest $1 billion in Scale AI, which provides data-labeling services to companies for training AI models. The round valued the San Francisco-based company at nearly $14 billion. In June, Meta invested $14.3 billion for a 49% stake of Scale and hired away the company’s co-founder and CEO Alexandr Wang, as well as several other key Scale employees. 

    The many-hundreds-of-millions-of-dollars club

    Commonwealth Fusion: The chipmaker participated in the nuclear fusion-energy startup’s $863 million funding round in August. The deal, which also included investors like Google and Breakthrough Energy Ventures, valued the company at $3 billion. 

    Cohere: The chipmaker has invested in enterprise LLM provider Cohere across multiple funding rounds, including the $500 million Series D, which closed in August, valuing Cohere at $6.8 billion. Nvidia first backed the Toronto-based startup in 2023. 

    Perplexity: Nvidia first invested in Perplexity in November 2023 and has participated in most of the subsequent funding rounds of the AI search engine startup, including the $500 million round closed in December 2024. The chipmaker participated in the company’s July funding round, which valued Perplexity at $18 billion. However, Nvidia did not join the startup’s subsequent $200 million fundraise in September, which boosted the company’s valuation to $20 billion, according to PitchBook data. 

    Poolside: In October 2024, the AI coding assistant startup Poolside announced it raised $500 million led by Bain Capital Ventures. Nvidia participated in the round, which valued the AI startup at $3 billion. 

    Lambda: AI cloud provider Lambda, which provides services for model training, raised a $480 million Series D at a reported $2.5 billion valuation in February. The round was co-led by SGW and Andra Capital Lambda, and joined by Nvidia, ARK Invest, and others. A significant part of Lambda’s business involves renting servers powered by Nvidia’s GPUs. 

    Black Forest Labs: Nvidia participated in a $300 million Series B for the German startup behind the “Flux” image generation models in December. The round, which was co-led by Salesforce Ventures and Anjney Midha (AMP) valued the company at $3.25 billion.

    CoreWeave: Although CoreWeave is no longer a startup, but a public company, Nvidia invested in GPU-cloud provider when it was still one, back in April 2023. That’s when CoreWeave raised $221 million in funding. Nvidia remains a significant shareholder. 

    Together AI: In February, Nvidia participated in the $305 million Series B of this company, which offers cloud-based infrastructure for building AI models. The round valued Together AI at $3.3 billion and was co-led by Prosperity7, a Saudi Arabian venture firm, and General Catalyst. Nvidia backed the company for the first time in 2023.  

    Firmus Technologies: In September, Firmus Technologies, the Singapore-based data center company, received an AU$330 million (approximately $215 million) in funding at an AU$1.85 billion ($1.2 billion) valuation from investors, including Nvidia. Firmus is developing an energy-efficient “AI factory” in Tasmania, an island state of Australia. The startup originally provided cooling technologies for Bitcoin mining. 

    Uniphore: In October, Nvidia joined fellow tech giants AMD, Snowflake, and Databricks to lead a $260 million Series F round into this Business AI company. Uniphore’s multimodal platform helps enterprises automate complex workflows and deploy “AI agents” across customer service, sales, and marketing.

    Sakana AI: In September 2024, Nvidia invested in the Japan-based startup, which trains low-cost generative AI models using small datasets. The startup raised a massive Series A round of about $214 million at a valuation of $1.5 billion. Sakana raised another $135 million at a $2.65 billion valuation in November, but Nvidia didn’t participate in the round.

    Nuro: In August, Nvidia participated in $203 million funding round for the self-driving delivery startup. The deal valued Nuro at $6 billion, a significant 30% drop from its peak at $8.6 billion valuation in 2021. 

    Imbue: The AI research lab that claims to be developing AI systems that can reason and code raised a $200 million round in September 2023 from investors, including Nvidia, Astera Institute, and former Cruise CEO Kyle Vogt. 

    Waabi: In June 2024, the autonomous trucking startup raised a $200 million Series B round co-led by existing investors Uber and Khosla Ventures. Other investors included Nvidia, Volvo Group Venture Capital, and Porsche Automobil Holding SE. 

    Deals of over a $100 million

    Ayar Labs: In December 2024, Nvidia invested in the $155 million round of Ayar Labs, a company developing optical interconnects to improve AI compute and power efficiency. This was the third time Nvidia backed the startup. 

    Kore.ai: The startup developing enterprise-focused AI chatbots raised $150 million in December of 2023. In addition to Nvidia, investors participating in the funding included FTV Capital, Vistara Growth, and Sweetwater Private Equity. 

    Sandbox AQ: In April, Nvidia, alongside Google, BNP Paribas, and others, invested $150 million in Sandbox AQ, a startup developing large quantitative models (LQMs) for handling complex numerical analysis and statistical calculations. The investment increased Sandbox AQ’s Series E round to $450 million and the company’s valuation to $5.75 billion. 

    Hippocratic AI: This startup, which is developing large language models for healthcare, announced in January that it raised a $141 million Series B at a valuation of $1.64 billion led by Kleiner Perkins. Nvidia participated in the round, along with returning investors Andreessen Horowitz, General Catalyst, and others. The company claims that its AI solutions can handle non-diagnostic patient-facing tasks such as pre-operating procedures, remote patient monitoring, and appointment preparation. Hippocratic raised another $126 million at a valuation of $3.5 billion in November, but Nvidia didn’t participate in the round.

    Weka: In May 2024, Nvidia invested in a $140 million round for AI-native data management platform Weka. The round valued the Silicon Valley company at $1.6 billion. 

    Runway: In April, Nvidia participated in Runway’s $308 million round, which was led by General Atlantic and valued the startup developing generative AI models for media production at $3.55 billion, according to PitchBook data. The chipmaker has been an investor in since 2023.  

    Bright Machines: In June 2024, Nvidia participated in a $126 million Series C of Bright Machines, a smart robotics and AI-driven software startup. 

    Enfabrica: In September 2023, Nvidia invested in networking chips designer Enfabrica’s $125 million Series B. The startup raised another $115 million in November 2024, but Nvidia didn’t participate in the round. In September, Nvidia reportedly spent over $900 million to hire Enfabrica’s CEO and staff while licensing its technology, in a deal structured as an “acquihire.”

    Reka AI: In July, AI research lab Reka raised $110 million in a round that included Snowflake and Nvidia. The deal tripled the startup’s valuation to over $1 billion, according to Bloomberg.    

    This post was first published in January 2025.

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    Marina Temkin

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  • Michael Burry’s Big Bets Still Move Markets—Even When He’s Wrong

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    Even when his calls miss, Michael Burry’s reputation keeps Wall Street watching his every move. Astrid Stawiarz/Getty Images

    Michael Burry earned a whopping $800 million by shorting the U.S. housing market ahead of the 2008 financial crisis. Whether the famed investor has made comparable money since then is far less clear. Still, his reputation endures. Investors continue to closely track his high-profile bets, hoping to ride his coattails to similar gains.

    Burry ran the hedge fund Scion Asset Management and now publishes commentary through a weekly newsletter, though he discloses little about performance. He has also repeatedly deleted and reactivated his X account over the years, but remains active on the platform, where he has roughly 1.6 million followers and frequently posts cryptic market takes.

    His celebrity status was cemented by the 2015 film The Big Short, which turned Burry into a household name. That visibility has granted him a level of credibility few investors retain for so long, even when their predictions miss the mark.

    “People like superstars, and they love to listen to folks who they think are smart and successful,” Tom Sosnoff, founder of investment media network Tastylive, told Observer. “He is a personality and a contrarian. He is interesting and pretty famous in the world of finance. Love him or not, people listen to him.”

    While Burry’s early success is well documented, his performance since then is harder to evaluate. As a hedge fund manager, he is only required to disclose limited information through quarterly filings such as 13Fs, which reveal long equity positions but not short positions, derivatives or overall performance. As a result, the full picture of his gains and losses remains largely opaque.

    There have been claims that Burry has made more than $1 billion in total trading profits, but those figures have never been independently verified, and his fund has never been publicly audited.

    Nvidia and Palantir in the crosshairs

    Despite the uncertainty around his track record, Burry’s words still move markets. His recent bearish bets against Nvidia and Palantir have drawn particular attention, with Burry arguing that both sit at the center of an A.I.-driven market bubble.

    On Nov. 3, regulatory filings revealed that Scion had placed roughly $1.1 billion in bearish options positions tied to those companies. The structure of the trade—largely long-dated put options—gives him time for the thesis to play out rather than requiring an immediate downturn.

    “His timing was very good,” said Sosnoff. “He pretty much got short Nvidia near the top (around $200), and it’s now down 10 percent to 15 percent. It’s a good call.”

    Palantir, which represents Burry’s largest short at roughly $912 million, has not fallen as sharply. The stock is down about 7.8 percent from its Nov. 3 level. Still, because the position is structured with options expiring in 2027, some analysts say it’s far too early to judge.

    “His logic is extremely good, and he has over a year to be right,” David Trainer, CEO of A.I.-driven investment research firm New Constructs, told Observer.

    Trainer, a former hedge fund manager, also backed Burry’s broader critique of A.I. hyperscalers, arguing that companies such as Oracle and Microsoft are using aggressive accounting practices, particularly around GPU depreciation, to flatter earnings.

    “These companies are definitely using questionable billing and receivables to make their earnings look better,” said Trainer. “I can’t say if Burry has been right or wrong in previous trades, but I think he has made some money. “This time [with the A.I. Bubble], he seems right.”

    The cult of the contrarian

    Not everyone is convinced. Matthew Tuttle, CEO of Tuttle Capital Management and a frequent contrarian himself, said Burry’s post-2008 track record is far less impressive than his reputation suggests.

    “When you look at the calls Burry has made since 2008, they have not been good,” he told Observer. “He has said ‘this is going to crash and that is going to crash’ many times since, and he hasn’t been right.”

    Still, big bearish bets tend to attract attention precisely because they go against the grain.

    “Any time someone makes a major down call, there’s a fascination with it as long [bullish] calls are always okay because the market always goes up,” said Tuttle.

    That dynamic helps explain why hedge fund stars can remain influential long after their best trades are behind them.

    “If I’m the main character in a movie and in a book like Burry and have been right in a big way, that buys me a lot of getting things wrong,” added Tuttle.

    The same dynamic applies to other market personalities such as Robert Kiyosaki, Peter Schiff and CNBC’s Jim Cramer, whose reputations often outlast their accuracy.

    “Robert Kiyosaki is constantly calling a bear market, and he is wrong, and Peter Schiff has been calling gold up for a long time,” said Tuttle. In Schiff’s case, it eventually worked—but more because of timing and luck than brilliance.

    “When you say gold is going to go up every year, and one year it does well, does that make you a genius? I would argue it doesn’t,” he added.

    Fame as financial fuel

    Wall Street is full of one-hit wonders whose early success grants them enduring influence.

    “Most of the time, they don’t risk their money,” said Sosnoff. “If they have one big win one year, they’re set. Their reputation is made.”

    John Paulson, who famously made $15 billion betting against subprime mortgages, fits that mold, as do figures like Ralph Acampora, who called the 1990s bull market, and Paul Tudor Jones, who predicted the 1987 crash.

    Other famous short sellers have stumbled. Jim Chanos, known for shorting Enron, closed his Kynikos fund in late 2023 after his Tesla bet went wrong. Bill Ackman lost roughly $1 billion betting against Herbalife in 2018, despite previously scoring a massive win betting against mortgage insurers during the financial crisis.

    Ultimately, fame often matters more than accuracy.

    “We live in a world where celebrities (movie, social media) have megaphones, and Michael is a celebrity because of the movie,” NYU Stern professor Aswath Damodaran told Observer. “Put simply, I will wager that most people who follow his advice (good or bad) are doing so because they liked the movie, think he is Christian Bale or like Batman, rather than because they read his treatises on Nvidia or Palantir. “

    That doesn’t mean Burry lacks insight. “Michael actually is a good macro thinker and often willing to break away from the herd,” Damodaran added. “But so are many other smart investors who never get noticed.”

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    Ivan Castano

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  • Mixed options sentiment in NVIDIA with shares down 0.45%

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    Mixed options sentiment in NVIDIA (NVDA), with shares down 85c near $187.37. Options volume relatively light with 360k contracts traded and calls leading puts for a put/call ratio of 0.83, compared to a typical level near 0.56. Implied volatility (IV30) is higher by 0.3 points near 34.93,in the bottom quartile of the past year, suggesting an expected daily move of $4.12. Put-call skew flattened, suggesting a modestly bullish tone.

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  • The 11 big trades of 2025: Bubbles, cockroaches and a 367% jump

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    It was another year of high-conviction bets — and fast reversals.

    From bond desks in Tokyo and credit committees in New York to currency traders in Istanbul, markets delivered both windfalls and whiplash. Gold hit records. Staid mortgage behemoths gyrated like meme stocks. A textbook carry trade blew up in a flash.

    Investors bet big on shifting politics, bloated balance sheets and fragile narratives, fueling outsized stock rallies, crowded yield trades, and crypto strategies built on leverage, hope, and not much else. Donald Trump’s White House return quickly sank — and then revived — financial markets across the world, lit a fire under European defense stocks, and emboldened speculators fanning mania after mania. Some positions paid off spectacularly. Others misfired when momentum reversed, financing dried up or leverage cut the wrong way.

    As the year draws to a close, Bloomberg highlights some of the most eye-catching wagers of 2025 — the wins, the wipeouts and the positions that defined the era. Many of those bets leave investors fretting over all-too-familiar fault lines as they prepare for 2026: shaky companies, stretched valuations, and trend-chasing trades that work, until they don’t.

    Crypto: Trumped

    It looked like one of crypto’s more compelling momentum bets: load up on anything and everything tied to the Trump brand. During his presidential campaign and after he took office, Trump went all-in on digital assets — pushing sweeping reforms and installing industry allies across powerful agencies. His family leaned in, championing coins and crypto firms that traders treated as political rocket fuel.

    The franchise came together fast. Hours before the inauguration, Trump launched a memecoin and promoted it on social media. First Lady Melania Trump soon followed with her own token. Later in the year, Trump family–affiliated World Liberty Financial made its WLFI token tradable and available to retail investors. A set of Trump-adjacent trades followed. Eric Trump co-founded American Bitcoin, a publicly traded miner that went public via a merger in September.

    Each debut sparked a rally. Each proved ephemeral. As of Dec. 23, Trump’s memecoin was floundering, off more than 80% from its January high. Melania’s was down nearly 99%, according to CoinGecko. American Bitcoin had sunk about 80% from its September peak.

    Politics gave the trades a push. The laws of speculation pulled them back down. Even with a friend in the White House, these trades couldn’t escape crypto’s core pattern: prices rise, leverage floods in, and liquidity dries up. Bitcoin, still the bellwether, is on track for an annual loss after slumping from its October peak. For Trump-linked assets, politics offered momentum, but no protection. — Olga Kharif

    AI Trade: The Next Big Short?

    The trade was revealed in a routine filing, yet its impact was anything but routine. Scion Asset Management disclosed on Nov. 3 that it held protective put options in Nvidia Corp. and Palantir Technologies Inc. — stocks at the center of the artificial intelligence trade that’s powered the market’s rally for three years. While not a whale-sized hedge fund, Scion commands attention due to the person who runs it: Michael Burry, who earned fame as a market prophet in The Big Short book and movie about the mortgage bubble that led to the 2008 crisis.

    The strike prices were startling: Nvidia’s was 47% below where the stock had just closed, while Palantir’s was 76% below. But some mystery lingered: Due to limited reporting requirements, it was unclear if the puts — contracts that give an investor the right to sell a stock at a certain price by a certain date — were part of a more complicated trade. And the filing offered just a snapshot of Scion’s books on Sept. 30, leaving open the possibility that Burry had since trimmed or exited the positions. Yet skepticism about the lofty valuations and massive spending plans of major AI players had been building like a pile of dry kindling. Burry’s disclosure landed like a freshly struck match.

    Nvidia, the largest stock in the world, tumbled in reaction, as did Palantir, though they later regained ground. The Nasdaq also dipped.

    It’s impossible to know exactly how much Burry made. One bread crumb he left was a post on X saying he paid $1.84 for the Palantir puts; those options went on to gain as much as 101% in less than three weeks. The filing crystallized doubts simmering beneath a market dominated by a narrow group of AI-linked stocks, heavy passive inflows and subdued volatility. Whether the trade proves prescient or premature, it underscored how quickly even the most dominant market narratives can turn once belief begins to crack. — Michael P. Regan

    Defense Stocks: New World Order

    A geopolitical shift has led to huge gains in a sector once deemed toxic by asset managers: European defense. Trump’s plans to take a step back from funding Ukraine’s military sent European governments into a spending spree, giving a huge lift to shares of regional defense firms — from the roughly 150% year-to-date rally in Germany’s Rheinmetall AG as of Dec. 23, to Italy’s Leonardo SpA more than 90% ascent during the period.

    Money managers who once saw the sector as too controversial to touch amid environmental, social and governance concerns changed their tune and a number of funds even redefined their mandates.

    “We had taken defense out of our ESG funds until the beginning of this year,” said Pierre Alexis Dumont, chief investment officer at Sycomore Asset Management. “There was a change of paradigm, and when there is a change of paradigm, one has to be responsible and also defend one’s values. So we’re focusing on defensive weapons.”

    From goggle makers to chemicals producers, and even a printing company, stocks were snapped up in a mad rush. A Bloomberg basket of European defense stocks was up more than 70% for the year as of Dec. 23. The boom spilled into credit markets as well, with firms only tangentially linked to defense attracting hordes of prospective lenders. Banks even started selling “European Defence Bonds,” modeled on green bonds except in this case ringfenced for borrowers like weapons manufacturers. It marked a repricing of defense as a public good rather than a reputational liability — and a reminder that when geopolitics shifts, capital tends to follow faster than ideology. — Isolde MacDonogh

    Debasement Trade: Fact or Fiction? 

    Heavy debt loads in major economies such as the US, France and Japan — and a lack of political appetite to confront them — pushed some investors in 2025 to tout gold and alternative assets like crypto, while cooling enthusiasm for government bonds and the US dollar. The idea gained traction under a bearish label: the “debasement trade,” a nod to historic episodes when rulers such as Nero diluted the value of money to cope with fiscal strain.

    The narrative reached a crescendo in October, when concerns over the US fiscal outlook collided with the longest government shutdown on record. Investors searched for shelter beyond the dollar. That month, gold and Bitcoin both rose to records — a rare moment for assets often cast as rivals.

    As a story, debasement offered a clean explanation for a messy macro backdrop. As a trade, it proved more complicated. Bitcoin has since slumped amid a broader retreat in cryptocurrencies. The dollar stabilized somewhat. Treasuries, far from collapsing, are on track for their best year since 2020 — a reminder that fears of fiscal erosion can coexist with powerful demand for safe assets, particularly when growth slows and policy rates peak.

    Elsewhere, price action told a different story. Swings in metals from copper to aluminum, and even silver, were driven at least as much by Donald Trump’s tariff policies and macro forces as by concerns about currency debasement, blurring the line between inflation hedging and old-fashioned supply shocks. Gold, meanwhile, has kept powering ahead, reaching new all-time highs. In that corner of the market, the debasement trade endured — less as a sweeping judgment on fiat, more as a focused bet on rates, policy and protection. — Richard Henderson

    Korean Stocks: K-Pop

    Move over, K-drama. When it comes to plot twists and thrills, it’s hard to beat this year’s action in South Korea’s stock market. Fueled by President Lee Jae Myung’s efforts to boost the country’s capital markets, the benchmark equity index rocketed more than 70% in 2025 through Dec. 22, headed toward his aspirational goal of 5000 and handily topping the charts among major stock gauges worldwide.

    It’s rare to see a political leader publicly set an index level as a goal, and Lee’s “Kospi 5000” campaign drew little attention when it was first announced. Now, more and more Wall Street banks including JPMorgan Chase & Co. and Citigroup Inc. think it’s achievable in 2026, helped in part by the global AI boom, which has increased demand for South Korean stocks as Asia’s go-to artificial intelligence trade.

    There is one notable absence from the Kospi’s world-beating rally: local retail investors. While Lee often reminds voters that he was once a retail investor himself before entering public office, his reform agenda has yet to persuade domestic investors that the market is a durable buy-and-hold proposition. Even as foreign money has poured into Korean equities, local mom-and-pop investors have been net sellers, channeling a record $33 billion into US stocks and chasing higher-risk bets ranging from crypto to leveraged exchange-traded funds overseas.

    One side effect has been pressure on the currency. As capital flowed outward, the won weakened, a reminder that even blockbuster equity rallies can mask lingering skepticism at home. — Youkyung Lee

    Bitcoin Showdown: Chanos v Saylor

    There are two sides to every story. In the case of short-seller Jim Chanos’s arbitrage play involving Bitcoin hoarder Michael Saylor’s Strategy Inc., there were also two big personalities, and a trade that was fast becoming a referendum on crypto-era capitalism.

    In early 2025, as Bitcoin soared and Strategy’s shares went through the roof, Chanos saw an opportunity. The rally in Strategy had stretched the premium the company’s shares enjoyed relative to its Bitcoin holdings, something the legendary investor saw as unsustainable. So he decided to short Strategy and go long Bitcoin, announcing the move in May when the premium was still wide.

    Chanos and Saylor started publicly trading barbs. “I don’t think he understands what our business model is,” Saylor told Bloomberg TV in June about Chanos, who in turn, called Saylor’s explanations “complete financial gibberish” in an X post.

    Strategy’s shares hit a record in July, marking a 57% year-to-date gain, but as the number of so-called digital asset treasury firms exploded and crypto token prices fell from their highs, Strategy shares — and those of its copycats — began to suffer and the company’s premium to Bitcoin shrank. Chanos’s wager was paying off.

    From the time Chanos made his short call on Strategy public through Nov. 7, the date he said he exited from the position, Strategy shares dropped 42%. Beyond the P&L, it illustrated a recurring crypto boom-and-bust pattern: balance sheets inflated by confidence, and confidence sustained by rising prices and financial engineering. It works until belief falters — at which point the premium stops being a feature and starts being the problem. — Monique Mulima

    Japanese Bonds: Widowmaker to Rainmaker

    If there was one bet that repeatedly burned macro investors in the past few decades, it’s the infamous “widowmaker” wager against Japanese bonds. The reasoning behind the trade always seemed simple. Japan carried a vast public debt, and so the thinking was that interest rates just had to rise sooner or later to lure in enough buyers. Investors, therefore, borrowed bonds and sold them, expecting prices to fall once reality asserted itself. For years, however, that logic proved premature and expensive, as the central bank’s loose policies kept borrowing costs low and punished anyone who tried to rush the outcome. No longer.

    In 2025, the widowmaker turned rainmaker as yields on benchmark government bonds surged across the board, making the $7.4 trillion Japan debt market a short-seller’s dream. The triggers spanned everything from interest rate hikes to Prime Minister Sanae Takaichi unleashing the country’s biggest burst of spending since pandemic restrictions eased. Yields on benchmark 10-year JGBs soared past 2% to reach levels not seen in decades, while those on 30-year paper advanced more than a full percentage point to an all-time high. A Bloomberg gauge of Japanese government bond returns fell more than 6% this year through Dec. 23, the worst-performing major market in the world.

    Fund managers from Schroders to Jupiter Asset Management to RBC BlueBay Asset Management discussed selling JGBs in some form during the year and investors and strategists are betting the trade has room to run, as benchmark policy rates edge higher. On top of that, the Bank of Japan is trimming its bond purchases, pressuring yields. And with the nation boasting the highest government debt-to-GDP ratio in the developed world by a wide margin, bearishness to JGBs is likely to persist. — Cormac Mullen

    Credit Scraps: Playing Hardball Pays

    Some of 2025’s richest credit payoffs didn’t come from turnaround bets, but from turning on fellow investors. The dynamic, known as “creditor-on-creditor violence,” paid off big for funds like Pacific Investment Management Co. and King Street Capital Management, who waged a calculated campaign around KKR-backed Envision Healthcare.

    When Envision, a hospital staffing company, ran aground after the Covid-19 pandemic, it needed a loan from new investors. But raising new debt meant pledging assets already spoken for. While many debt holders formed a group to oppose the new financing, Pimco, King Street and Partners Group broke ranks. Their support enabled a vote to allow the collateral — a stake in Envision’s valuable ambulatory-surgery business Amsurg — to be released by the old lenders and used to back the new debt.

    The funds became holders of Amsurg-backed debt that eventually converted into Amsurg equity. Then Amsurg sold to Ascension Health this year for $4 billion. The funds who spurned their peers generated returns of around 90%, by one measure, demonstrating the payoff from waging such internecine battles. The lesson: in today’s credit markets, governed by loose documentation and fragmented creditor groups, cooperation is optional. Being right is not always enough. The bigger risk is being outflanked. —Eliza Ronalds-Hannon

    Fannie-Freddie: Revenge of the “Toxic Twins”

    Fannie Mae and Freddie Mac, the mortgage-finance giants that have been under Washington’s control since the financial crisis, have long been the subject of speculation over when and how they would be released from the government’s grip. Boosters such as hedge fund manager Bill Ackman loaded up on the two in the hopes of scoring a windfall on any privatization plan, but the shares languished for years in over-the-counter trading as the status quo prevailed.

    Then came Donald Trump’s re-election, which catapulted the stocks into a meme-like zeal on optimism the new administration would take steps to free up the companies. In 2025, the excitement ratcheted up even more: The shares soared 367% from the start of the year to their high in September — 388% on an intraday basis — and remain big winners for 2025.

    Driving the momentum to its peak this year was word in August that the administration was contemplating an IPO that could value the enterprises at around $500 billion or more, involving selling 5% to 15% of their stock to raise about $30 billion. While the shares have wavered from their September high amid skepticism about when, and whether, an IPO will actually materialize, many remain confident in the story.

    Ackman in November unveiled a proposal he pitched to the White House, which calls for relisting Fannie and Freddie on the New York Stock Exchange, writing down the Treasury’s senior-preferred stake and exercising the government’s option to acquire nearly 80% of the common stock. Even Michael Burry joined the party, announcing a bullish position in early December and musing in a 6,000-word blog post that the companies which once needed the government to save them from insolvency may be “toxic twins no more.” — Felice Maranz

    Turkey Carry Trade: Cooked

    The Turkish carry trade was a consensus favorite for emerging-market investors after a stellar 2024. With local bond yields above 40% and a central bank backing a stable dollar peg, traders piled in — borrowing cheaply abroad to buy high-yield Turkish assets. That drew billions from firms like Deutsche Bank, Millennium Partners and Gramercy — some of them on the ground in Turkey on March 19, the day the trade blew up in minutes.

    It was on that morning that Turkish police raided the home of Istanbul’s popular opposition mayor and took him into custody, sparking protests — and a frenzied selloff in the lira that the central bank was unable to contain. “People got caught very much by surprise and won’t go back in a hurry,” Kit Juckes, head of FX strategy at Societe Generale SA in Paris, said at the time.

    By the end of the day, outflows from Turkish lira-denominated assets were estimated at around $10 billion, and the market never really recovered. As of Dec. 23, the lira was some 17% weaker against the dollar for the year, one of the world’s worst performers. The episode served as a reminder that high interest rates can reward risk-takers, but they offer no protection against sudden political shocks. — Kerim Karakaya

    Debt Markets: Cockroach Alert

    Credit markets in 2025 were unsettled not by a single spectacular collapse, but by a series of smaller ones that exposed uncomfortable habits. Companies once considered routine borrowers ran into trouble, leaving lenders nursing steep losses.

    Saks Global restructured $2.2 billion in bonds after making only a single interest payment, and the restructured debt is itself now trading at less than 60 cents on the dollar. New Fortress Energy’s newly-exchanged bonds lost more than half their value in the span of a year. The bankruptcies of Tricolor and then First Brands wiped out billions in debt holdings in a matter of weeks. In some cases, sophisticated fraud was at the root of the collapse. In others, rosy projections failed to materialize. In every case, investors were left to answer for how they justified taking large credit gambles on companies with little to no proof they’d be able to repay the debt.

    Years of low defaults and loose money eroded standards, from lender protections to basic underwriting. Lenders to both First Brands and Tricolor had failed to discover the borrowers were allegedly double-pledging assets and co-mingling collateral that backed various loans.

    Those lenders included JPMorgan, whose chief executive Jamie Dimon put the market on alert in October when he colorfully warned of more trouble to come, saying, “When you see one cockroach, there are probably more.” A theme for 2026. — Eliza Ronalds-Hannon

    –With assistance from Benjamin Harvey, Kerim Karakaya, Youkyung Lee, Cormac Mullen, Michael P. Regan, Isolde MacDonogh, Eliza Ronalds-Hannon, Yvonne Yue Li and Matt Turner.

    More stories like this are available on bloomberg.com

    ©2025 Bloomberg L.P.

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  • 200,000 Shares in NVIDIA Corporation $NVDA Purchased by Svenska Handelsbanken AB publ

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    Svenska Handelsbanken AB publ bought a new position in NVIDIA Corporation (NASDAQ:NVDAFree Report) during the third quarter, according to its most recent 13F filing with the SEC. The institutional investor bought 200,000 shares of the computer hardware maker’s stock, valued at approximately $37,316,000. NVIDIA comprises approximately 13.1% of Svenska Handelsbanken AB publ’s portfolio, making the stock its biggest holding.

    A number of other large investors have also recently modified their holdings of the business. Kingstone Capital Partners Texas LLC grew its stake in NVIDIA by 267,959.7% in the 2nd quarter. Kingstone Capital Partners Texas LLC now owns 382,373,765 shares of the computer hardware maker’s stock worth $64,976,521,000 after buying an additional 382,231,120 shares in the last quarter. Norges Bank purchased a new stake in shares of NVIDIA during the 2nd quarter valued at $51,386,863,000. Nuveen LLC bought a new stake in shares of NVIDIA during the 1st quarter worth $15,089,414,000. Goldman Sachs Group Inc. grew its position in NVIDIA by 123.5% in the first quarter. Goldman Sachs Group Inc. now owns 187,995,213 shares of the computer hardware maker’s stock worth $20,374,921,000 after acquiring an additional 103,889,872 shares in the last quarter. Finally, Laurel Wealth Advisors LLC increased its stake in NVIDIA by 15,496.1% in the second quarter. Laurel Wealth Advisors LLC now owns 21,865,525 shares of the computer hardware maker’s stock valued at $3,454,534,000 after acquiring an additional 21,725,326 shares during the last quarter. Institutional investors own 65.27% of the company’s stock.

    Key Headlines Impacting NVIDIA

    Here are the key news stories impacting NVIDIA this week:

    • Positive Sentiment: NVIDIA struck a ~ $20B agreement to license Groq’s inference technology and bring key Groq engineers into NVIDIA, which investors view as a fast way to close a latency/speed gap for inference workloads and extend NVIDIA’s moat. NVIDIA’s $20B Groq Deal Is a Warning Shot to AI Rivals
    • Positive Sentiment: Multiple outlets and TV segments frame the Groq deal as market‑moving — coverage highlights the strategic urgency (speed for inference) and immediate market reaction, supporting the near‑term bullish case. Nvidia strikes $20 billion deal with Groq: Here’s what you need to know
    • Positive Sentiment: Wall Street momentum: major firms reaffirmed/raised bullish ratings and price targets (e.g., $275 PTs reported), supporting further upside expectations as analysts bake the deal into 2026 modeling. Analyst price target reports
    • Neutral Sentiment: Deal structure is non‑traditional — a non‑exclusive license plus talent hires (Groq stays independent) — which accelerates integration while aiming to avoid lengthy antitrust review; that reduces near‑term regulatory drag but leaves some legal/competitive ambiguity. Nvidia-Groq deal is structured to keep ‘fiction of competition alive’
    • Positive Sentiment: Technical/strategic rationale: analysts and deep‑dive pieces argue Groq’s LPU/compiler tech can materially improve real‑time inference throughput and energy efficiency — a potential product advantage for cloud and robotics customers. Why Nvidia Needs Groq To Win The War Against Google’s TPUs
    • Neutral Sentiment: Financing and cash use: while NVDA’s huge free cash flow can fund the deal, $20B is material — some analysts flag near‑term balance‑sheet and capital allocation questions (and one note argued “cash problem” risks). Monitor cash deployment and buyback/dividend policy. Nvidia Has A Cash Problem
    • Negative Sentiment: Emerging competitive risk: a MarketBeat piece warns MetaX’s rapid IPO surge and other deep‑tech entrants could pose a meaningful long‑term threat to NVIDIA’s dominance into 2026 — worth tracking as rivals commercialize low‑latency stacks. Is MetaX a NVIDIA Threat—or Just Another DeepSeek Market Scare?

    Analyst Ratings Changes

    Several equities research analysts have issued reports on NVDA shares. Benchmark lifted their price target on NVIDIA from $220.00 to $250.00 and gave the stock a “buy” rating in a research note on Thursday, November 20th. Stifel Nicolaus boosted their target price on NVIDIA from $212.00 to $250.00 and gave the stock a “buy” rating in a research report on Tuesday, November 18th. Rosenblatt Securities increased their price target on shares of NVIDIA from $240.00 to $245.00 and gave the company a “buy” rating in a research report on Thursday, November 20th. UBS Group reissued a “buy” rating on shares of NVIDIA in a research note on Tuesday, December 9th. Finally, Wolfe Research upped their price objective on shares of NVIDIA from $230.00 to $250.00 and gave the company an “outperform” rating in a research note on Thursday, November 20th. Five analysts have rated the stock with a Strong Buy rating, forty-five have assigned a Buy rating, two have assigned a Hold rating and one has assigned a Sell rating to the company. According to data from MarketBeat, the company has an average rating of “Buy” and a consensus price target of $262.14.

    Get Our Latest Stock Analysis on NVDA

    NVIDIA Stock Up 1.0%

    Shares of NASDAQ NVDA opened at $190.53 on Friday. The firm’s fifty day moving average is $186.12 and its 200 day moving average is $176.77. NVIDIA Corporation has a 52 week low of $86.62 and a 52 week high of $212.19. The company has a quick ratio of 3.71, a current ratio of 4.47 and a debt-to-equity ratio of 0.06. The company has a market cap of $4.63 trillion, a price-to-earnings ratio of 47.28, a PEG ratio of 0.93 and a beta of 2.29.

    NVIDIA (NASDAQ:NVDAGet Free Report) last announced its quarterly earnings results on Wednesday, November 19th. The computer hardware maker reported $1.30 earnings per share for the quarter, beating the consensus estimate of $1.23 by $0.07. NVIDIA had a net margin of 53.01% and a return on equity of 99.24%. The business had revenue of $57.01 billion during the quarter, compared to analysts’ expectations of $54.66 billion. During the same quarter in the prior year, the company posted $0.81 EPS. The firm’s revenue for the quarter was up 62.5% compared to the same quarter last year. On average, equities research analysts expect that NVIDIA Corporation will post 2.77 earnings per share for the current year.

    NVIDIA Announces Dividend

    The firm also recently declared a quarterly dividend, which was paid on Friday, December 26th. Investors of record on Thursday, December 4th were issued a dividend of $0.01 per share. This represents a $0.04 dividend on an annualized basis and a yield of 0.0%. The ex-dividend date was Thursday, December 4th. NVIDIA’s payout ratio is currently 0.99%.

    Insiders Place Their Bets

    In related news, CEO Jen Hsun Huang sold 75,000 shares of the company’s stock in a transaction that occurred on Monday, October 20th. The stock was sold at an average price of $183.38, for a total transaction of $13,753,500.00. Following the completion of the transaction, the chief executive officer owned 70,033,203 shares in the company, valued at $12,842,688,766.14. This represents a 0.11% decrease in their ownership of the stock. The sale was disclosed in a legal filing with the Securities & Exchange Commission, which is available through this hyperlink. Also, EVP Debora Shoquist sold 80,000 shares of the firm’s stock in a transaction on Tuesday, December 9th. The stock was sold at an average price of $184.65, for a total value of $14,772,000.00. Following the completion of the sale, the executive vice president directly owned 1,574,443 shares of the company’s stock, valued at $290,720,899.95. The trade was a 4.84% decrease in their position. Additional details regarding this sale are available in the official SEC disclosure. Over the last 90 days, insiders sold 2,161,474 shares of company stock worth $396,157,992. 4.17% of the stock is currently owned by company insiders.

    NVIDIA Company Profile

    (Free Report)

    NVIDIA Corporation, founded in 1993 and headquartered in Santa Clara, California, is a global technology company that designs and develops graphics processing units (GPUs) and system-on-chip (SoC) technologies. Co-founded by Jensen Huang, who serves as president and chief executive officer, along with Chris Malachowsky and Curtis Priem, NVIDIA has grown from a graphics-focused chipmaker into a broad provider of accelerated computing hardware and software for multiple industries.

    The company’s product portfolio spans discrete GPUs for gaming and professional visualization (marketed under the GeForce and NVIDIA RTX lines), high-performance data center accelerators used for AI training and inference (including widely adopted platforms such as the A100 and H100 series), and Tegra SoCs for automotive and edge applications.

    Further Reading

    Want to see what other hedge funds are holding NVDA? Visit HoldingsChannel.com to get the latest 13F filings and insider trades for NVIDIA Corporation (NASDAQ:NVDAFree Report).

    Institutional Ownership by Quarter for NVIDIA (NASDAQ:NVDA)



    Receive News & Ratings for NVIDIA Daily – Enter your email address below to receive a concise daily summary of the latest news and analysts’ ratings for NVIDIA and related companies with MarketBeat.com’s FREE daily email newsletter.

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  • Nvidia reaches technology licensing deal with startup Groq

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    Nvidia Corp. agreed to a licensing deal with artificial intelligence startup Groq, furthering its investments in companies connected to the AI boom and gaining the right to add a new type of technology to its products. The world’s largest publicly traded company has paid for the right to use Groq’s technology and will integrate its […]

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  • Nvidia to license AI chip challenger Groq’s tech and hire its CEO | TechCrunch

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    Nvidia has struck a non-exclusive licensing agreement with AI chip competitor Groq. As part of the deal, Nvidia will hire Groq founder Jonathan Ross, president Sunny Madra, and other employees.

    CNBC reported that Nvidia is acquiring assets from Groq for $20 billion; Nvidia told TechCrunch that this is not an acquisition of the company and did not comment on the scope of the deal. But if CNBC’s numbers are accurate, this purchase is expected to be Nvidia’s largest ever, and with Groq on its side, Nvidia is poised to become even more dominant in chip manufacturing.

    As tech companies compete to grow their AI capabilities, they need computing power, and Nvidia’s GPUs have emerged as the industry standard. But Groq has been working on a different type of chip called an LPU (language processing unit), which it has claimed can run LLMs at 10 times faster and using one-tenth the energy. Groq’s CEO Jonathan Ross is known for this sort of innovation — when he worked for Google, he helped invent the TPU (tensor processing unit), a custom AI accelerator chip.

    In September, Groq raised $750 million at a $6.9 billion valuation. Its growth has been quick and significant — the company said that it powers the AI apps of more than 2 million developers, up from about 356,000 last year.

    Updated, 12/24/25 at 5:40 p.m. ET, with clarification from Nvidia about the nature of the deal.

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  • Michael Burry Is Challenging Nvidia’s Jensen Huang Again

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    Michael Burry, famed investor of The Big Short, recently asked for evidence of the “mass quantities” of Nvidia GPUs being housed in the U.S. His request came on the heels of an extensive thread on X claiming CEO Jensen Huang’s statements about the business aren’t adding up. 

    Huang said this past October that Nvidia had shipped 6 million Blackwell GPUs, the company’s fastest AI chips, over the past year, according to CNBC. But a user under the name @Kakashii posted on X December 7 disputing the claims, a thread Burry chose to amplify and double down on.

    Claims of Inconsistent Numbers

    Kakashii explained the calculations he performed to confirm Huang’s statements. 

    “Since Blackwell is out, Nvidia reported 111B in revenue in GPU datacenters,” he wrote. “If you do simple math, 6 million Blackwell GPUs within the reported 111B revenue of datacenters since Blackwell started to ship is not matching, because it represents only between 2.5 to 3.5 million Blackwell chips.” 

    Even when giving Huang the benefit of the doubt and assuming he is “always telling the truth,” @Kakashii said, the numbers track for just four million units. He claims millions are unaccounted for.

    He concluded that the claim is inconsistent with Nvidia’s reported revenue and with data center power capacity. So, the question would be that if a large portion of Nvidia Blackwell GPUs aren’t being used in data centers, as the thread claims, where are they?

    Burry’s Call to Action

    Burry is on the case.

    The extended deadline for the 2026 Inc. Regionals Awards is Friday, December 19, at 11:59 p.m. PT. Apply now.

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  • Nvidia: Reports of an Elaborate Chinese GPU Smuggling Operation Are ‘Far-fetched’

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    If some of Nvidia’s top-shelf GPUs—the physical artifacts currently at the center of the AI craze—hypothetically fell into the wrong hands, Nvidia’s next moves would have to placate a lot of parties, from shareholders to regulators to customers to China hawks in the Senate like Tom Cotton

    And a new report does say smuggled GPUs are now being used illegally by the Chinese company Deepseek, which, for someone like Cotton, would be like the One Ring being smuggled directly to Sauron. But for what it’s worth, Nvidia calls the details of the report “far-fetched.” 

    According to one of the tech news site The Information’s anonymously-sourced scoops, the Chinese AI company Deepseek is somehow training its latest models on Nvidia’s latest GPUs—ones built on the Blackwell architecture, pretty much the most in-demand pieces of technology in the universe. If that were true, one problem for Nvidia would be that giving companies in China access to the most advanced GPUs would be a violation of stringently enforced export rules—even after Trump moved to loosen restrictions earlier this week

    But don’t worry, China hawks. According to a company statement viewed by Yahoo Finance, the folks at Nvidia “haven’t seen any substantiation or received tips of ‘phantom data centers’ constructed to deceive us and our OEM partners, then deconstructed, smuggled and reconstructed somewhere else.”

    Phew. That’s a very specific denial that really zeroes in on the details of the story, but it’s good to know that (deep breath) fake data centers created for the purpose of deceiving Nvidia or its unwitting suppliers or customers, which are dismantled, smuggled, and rebuilt somewhere in China, is something Nvidia hasn’t seen substantiated reports of, or received tips about. 

    “While such smuggling seems far-fetched, we pursue any tip we receive,” the Nvidia representative added, per CNBC.

    And it’s true. It totally does sound farfetched if it’s not really happening. If it’s happening, the word for it is “ingenious.” In fact, it’s downright Now-You-See-Me-esque.

    According to reports in May from this year, the lower-end prices of a single Blackwell GPU ranged from $6,500 to $8,000. That being the case, can you imaging the black market price? Such prices are a big part of why Nvidia is one of the rare AI companies that seem to consistently haul in money instead of just burning it, and are also why Nvidia bulls say the company is about to be worth $6 trillion.

    And nothing hammers home the reasoning for an absolutely insane price tag on a piece of silicon quite like a cinematic (alleged) smuggling operation.  

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  • Nvidia is reportedly testing tracking software as chip smuggling rumors swirl | TechCrunch

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    Nvidia is allegedly testing software that can track the location of its AI chips as reports of its chips being smuggled into China are on the rise.

    Nvidia has built location verification technology that would allow it to track which country a chip is located in, Reuters originally reported, citing anonymous sources. This software tracks computing performance but the delay in communication between servers also offers a sense of a chip’s location.

    This software will be optional for customers to use and will be made available for Blackwell chips first, Reuters said.

    Multiple reports have surfaced in the last few days that allege China’s DeepSeek AI models have been trained on smuggled Nvidia Blackwell chips. Nvidia responded to these reports by saying it hasn’t seen evidence of this type of smuggling.

    “We haven’t seen any substantiation or received tips of ‘phantom datacenters’ constructed to deceive us and our OEM partners, then deconstructed, smuggled, and reconstructed somewhere else. While such smuggling seems farfetched, we pursue any tip we receive,” an Nvidia spokesperson told TechCrunch.

    This news comes just days after Nvidia just got the greenlight from the U.S. Government to start selling its H200 AI chips to approved customers in China on Monday. That announcement only pertains to older H200 chips, and does not the company’s Blackwell chips.

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  • GOOG Stock Soars To All Time Highs on NVDA Chip Comparision

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    Google
    • Alphabet (GOOG) shares rose 2.1% after reports that Meta is in advanced talks to spend billions on Google’s TPU chips instead of NVIDIA GPUs.

    • Google TPUs are 2x cheaper than NVIDIA GPUs at standard 9,000-chip rack configurations.

    • NVIDIA lost roughly $250B in market value as Wall Street recognized TPUs as a legitimate alternative.

    • If you’re thinking about retiring or know someone who is, there are three quick questions causing many Americans to realize they can retire earlier than expected. take 5 minutes to learn more here

    Alphabet Inc. (NASDAQ: GOOG) shares climbed 2.1% on Friday, November 28, 2025, as retail sentiment surged to 64 (bullish) while NVIDIA Corporation (NASDAQ: NVDA) sentiment dropped to 33 (bearish). The catalyst: reports that Meta Platforms Inc. (NASDAQ:META) is in advanced talks to spend billions on Google’s TPU chips instead of NVIDIA’s GPUs, triggering discussion about the first real crack in NVIDIA’s dominance.

    On r/stocks, user One-Blacksmith-4654 captured investor confusion in a post that drew 734 upvotes: “Alphabet suddenly ripping toward a multi-trillion valuation and Nvidia losing a massive chunk of market cap even though demand for GPUs is supposedly still sky-high…none of this lines up with the narratives we were all trading on earlier this year.”

    Alphabet suddenly ripping toward a multi-trillion valuation
    by
    u/One-Blacksmith-4654 in
    stocks

    Nvidia vs Google heats up after Meta considers switching chips
    by
    u/Illustrious_Lie_954 in
    StockMarket

    A detailed analysis on r/StockMarket noted that “after reports came out that Meta is in advanced talks to spend billions on Google’s AI chips instead of Nvidia’s, the company actually put out a statement defending its market position. That rarely happens.” NVIDIA’s stock shed roughly $250B in market value while Alphabet shares jumped as Wall Street recognized TPUs as a legitimate alternative.

    Three factors drive the bullish case:

    • Google TPUs are 2x cheaper than NVIDIA GPUs at standard 9,000-chip rack configurations, per semiconductor research cited on r/wallstreetbets

    • Google’s software revamp breaks CUDA’s monopoly, easing TPU chip onboarding

    • Potential TPU customers could represent up to 10% of NVIDIA’s annual revenue, per The Information

    A Google DeepMind TPU engineer stated on X that the market is “clueless about hardware and the demand” following NVIDIA’s sell-off. The comment, shared widely on r/StockMarket with 436 upvotes, emphasized that AI hardware demand remains consistently high despite stock volatility.

    Google DeepMind TPU engineer comment on hardware demand
    by
    u/ in
    StockMarket

    Alphabet’s RSI hit 73.73 on November 28, maintaining overbought levels above 70 for the past week. The stock trades near its 52-week high of $328.67, up 131% from its November 2024 low of $142.36. With market cap exceeding $3.86T and Google Cloud revenue growing 34% year-over-year to $15.2B, fundamentals support the technical breakout. Watch for TPU customer wins and any competitive response from NVIDIA as this hardware battle intensifies.

    You may think retirement is about picking the best stocks or ETFs, but you’d be wrong. See even great investments can be a liability in retirement. The difference comes down to a simple: accumulation vs distribution. The difference is causing millions to rethink their plans.

    The good news? After answering three quick questions many Americans are finding they can retire earlier than expected. If you’re thinking about retiring or know someone who is, take 5 minutes to learn more here.

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  • Center for Financial Planning Inc. Acquires 367 Shares of NVIDIA Corporation $NVDA

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    Center for Financial Planning Inc. increased its stake in NVIDIA Corporation (NASDAQ:NVDAFree Report) by 4.6% during the second quarter, Holdings Channel.com reports. The institutional investor owned 8,429 shares of the computer hardware maker’s stock after buying an additional 367 shares during the period. Center for Financial Planning Inc.’s holdings in NVIDIA were worth $1,332,000 as of its most recent filing with the SEC.

    Other hedge funds have also added to or reduced their stakes in the company. Kingstone Capital Partners Texas LLC lifted its stake in NVIDIA by 267,959.7% in the second quarter. Kingstone Capital Partners Texas LLC now owns 382,373,765 shares of the computer hardware maker’s stock valued at $64,976,521,000 after purchasing an additional 382,231,120 shares during the last quarter. Nuveen LLC purchased a new position in shares of NVIDIA during the 1st quarter valued at $15,089,414,000. Goldman Sachs Group Inc. grew its stake in shares of NVIDIA by 123.5% during the 1st quarter. Goldman Sachs Group Inc. now owns 187,995,213 shares of the computer hardware maker’s stock worth $20,374,921,000 after acquiring an additional 103,889,872 shares during the period. Amundi grew its stake in shares of NVIDIA by 16.0% during the 1st quarter. Amundi now owns 135,770,043 shares of the computer hardware maker’s stock worth $13,826,199,000 after acquiring an additional 18,733,431 shares during the period. Finally, Strs Ohio purchased a new stake in NVIDIA in the 1st quarter worth about $1,163,288,000. Institutional investors own 65.27% of the company’s stock.

    Wall Street Analysts Forecast Growth

    NVDA has been the topic of several recent research reports. Barclays upped their price objective on shares of NVIDIA from $240.00 to $275.00 and gave the company an “overweight” rating in a report on Thursday, November 20th. Mizuho raised their price objective on shares of NVIDIA from $235.00 to $245.00 and gave the stock an “outperform” rating in a report on Thursday, November 20th. Wall Street Zen upgraded shares of NVIDIA from a “hold” rating to a “buy” rating in a research note on Sunday, October 19th. KeyCorp increased their target price on NVIDIA from $250.00 to $275.00 and gave the stock an “overweight” rating in a research report on Thursday, November 20th. Finally, Deutsche Bank Aktiengesellschaft lifted their price target on NVIDIA from $180.00 to $215.00 and gave the company a “hold” rating in a research report on Thursday, November 20th. Five analysts have rated the stock with a Strong Buy rating, forty-six have given a Buy rating, two have assigned a Hold rating and one has assigned a Sell rating to the company. According to data from MarketBeat, the company currently has an average rating of “Buy” and an average price target of $258.30.

    Read Our Latest Analysis on NVDA

    Insider Buying and Selling at NVIDIA

    In other news, Director John Dabiri sold 626 shares of the stock in a transaction dated Monday, November 24th. The stock was sold at an average price of $179.42, for a total transaction of $112,316.92. Following the transaction, the director directly owned 17,792 shares in the company, valued at approximately $3,192,240.64. This represents a 3.40% decrease in their position. The sale was disclosed in a document filed with the Securities & Exchange Commission, which can be accessed through this link. Also, CEO Jen Hsun Huang sold 25,000 shares of the business’s stock in a transaction that occurred on Wednesday, October 29th. The stock was sold at an average price of $207.91, for a total value of $5,197,750.00. Following the completion of the sale, the chief executive officer owned 69,733,203 shares of the company’s stock, valued at $14,498,230,235.73. The trade was a 0.04% decrease in their position. The SEC filing for this sale provides additional information. Insiders have sold 3,177,203 shares of company stock worth $570,171,004 over the last 90 days. Corporate insiders own 4.17% of the company’s stock.

    NVIDIA Stock Performance

    Shares of NVDA opened at $176.67 on Friday. NVIDIA Corporation has a 12-month low of $86.62 and a 12-month high of $212.19. The company has a current ratio of 4.21, a quick ratio of 3.60 and a debt-to-equity ratio of 0.08. The company has a market cap of $4.29 trillion, a PE ratio of 50.33, a price-to-earnings-growth ratio of 1.49 and a beta of 2.11. The stock has a 50-day moving average price of $186.90 and a 200-day moving average price of $170.18.

    NVIDIA (NASDAQ:NVDAGet Free Report) last announced its earnings results on Wednesday, November 19th. The computer hardware maker reported $1.30 earnings per share (EPS) for the quarter, beating the consensus estimate of $1.23 by $0.07. The business had revenue of $57.01 billion during the quarter, compared to analyst estimates of $54.66 billion. NVIDIA had a net margin of 52.41% and a return on equity of 101.74%. NVIDIA’s revenue for the quarter was up 62.5% on a year-over-year basis. During the same period in the previous year, the business posted $0.81 earnings per share. NVIDIA has set its Q4 2026 guidance at EPS. As a group, equities analysts forecast that NVIDIA Corporation will post 2.77 earnings per share for the current fiscal year.

    NVIDIA Dividend Announcement

    The company also recently announced a quarterly dividend, which will be paid on Friday, December 26th. Investors of record on Thursday, December 4th will be paid a $0.01 dividend. This represents a $0.04 dividend on an annualized basis and a yield of 0.0%. The ex-dividend date of this dividend is Thursday, December 4th. NVIDIA’s dividend payout ratio is currently 0.99%.

    NVIDIA Company Profile

    (Free Report)

    NVIDIA Corporation provides graphics and compute and networking solutions in the United States, Taiwan, China, Hong Kong, and internationally. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating metaverse and 3D internet applications.

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    Institutional Ownership by Quarter for NVIDIA (NASDAQ:NVDA)



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    ABMN Staff

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