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NVIDIA Previews Faster ReSTIR PT Enhanced Real-Time Path Tracing Technology

The Hot Take: So many software updates, seems like they're milking current silicon or having issues with new silicon?

NVIDIA is preparing to showcase a new rendering technique that could move real-time path tracing another step closer to wider game-engine adoption. Scheduled for presentation at the ACM conference on Computer Graphics and Interactive Techniques in May, the company’s latest research focuses on improving ReSTIR PT, a ...

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Nvidia eyes CPU crown

The Hot Take: We shall see. ARM busting in on this market too for servers at least. Nvidia is doing both Desktops and Servers with the world just waiting for its desktop SoC.

NVIDIA claims that the demand for Vera is so bonkers that it could become the world’s top GPU and CPU supplier this year. Nvidia recently said its Vera CPUs were in full production, with the first CPU racks hand-delivered to OpenAI, SpaceX, Anthropic and Oracle. For those who came in late, Vera is a key part of the Extreme Co-Design ecosystem powering Rubin, but it drags Nvidia into the standalone CPU market for the first time. The Arm-based chip uses 88 custom Olympus cores and is built for agentic AI and inference workloads. Nvidia says Vera offers 50 per cent better performance, twice the performance per watt and four times the rack density of traditional x86 CPUs. It handles orchestration, tool calling, reinforcement-learning workloads, data analytics, agent sandboxing, and long-context state management. The chip is aimed at AI labs, cloud providers and enterprises running agentic AI at scale. Its core specs include 88 custom Olympus cores, 1.2TB/s memory bandwidth and 50 per cent faster per-core performance under full load. Nvidia claims Vera opens a new $200 billion total addressable market. The company expects nearly $20 billion in CPU revenue this year, mostly driven by Vera. That would put Nvidia on course to become the world’s leading CPU supplier, surpassing AMD and Intel, both of which are seeing strong CPU demand from agentic AI workloads. Nvidia said Vera was co-designed with Rubin GPUs and NVLink to deliver up to 1.5 times faster per-core performance. It claims Vera delivers twice the performance per watt and four times the density per rack compared with x86-based alternatives. Nvidia chief financial officer Colette Kress said: “Vera CPU opens a brand new $200 billion town for NVIDIA, a market we have never addressed before, and every major hyperscale and system maker is partnering with us to get it deployed. We have visibility to nearly $20 billion in total CPU revenue this year, setting us up to become the world-leading CPU supplier.” The more interesting bit is that the $20 billion number is not for every Vera CPU use case. It applies only to the standalone CPU. Vera will be used as the host CPU for Rubin racks, with two Vera chips connected to four GPUs. Nvidia has entry-level NVL4 racks that use Intel Xeon CPUs. The company says it will ship millions of Rubin GPUs, which are now in full production, with first shipments planned for the third quarter of 2026. Then there is Vera with CX9 for storage and Vera with CX9 for security. The standalone CPU is the piece counted in the $20 billion figure, which puts it ahead of AMD EPYC and Chipzilla Xeon CPU figures for this year. There are some awkward constraints in Vera’s way. Nvidia chief executive Jensen Huang said Vera Rubin will be supply-constrained throughout its life. The other big choke point is memory, because Vera leans heavily on LPDDR5X, which is already being gobbled up by the AI supercycle. Nvidia is investing heavily to ease those constraints, but demand keeps swelling and both Vera and Vera Rubin need plenty of memory. “The 20 billion is for a standalone CPU. And remember, we have Vera, which is used in three ways as a standalone CPU, and four ways. Let me just start with the one that you already know. The first way is Vera Rubin. And we’ll sell millions of Rubins, and every two of them is connected to a Vera. And of course, we price those too. And they’re properly priced. And so that’s number one use case.” Huang said. The second use case is Vera standalone CPU. The third is Vera with CX9 and the storage software stack. And then Vera, with CX9, a software stack for security, compute isolation, and confidential computing. And so each one of those use cases is built on Vera. And my sense is that we’ll be supply-constrained throughout Vera Rubin’s entire life. And Vera was designed to be an agentic CPU. The CPUs of the past were designed to have many cores so that it could be easily rentable. People rented cores. Well, agents don’t rent cores. They just want the work to be done fast. The economics of the past was dollars per core,” Huang said.  

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'Changing of the Guard'? AMD, Intel, and Micron Soar While Nvidia Lags

The Hot Take: AMD seems to be out performing Intel & Nvidia on the market, while Nvidia is still the preferred Ai holy-grail? Just seems odd.

While Nvidia has dominated the "infrastructure boom" since 2022's launch of ChatGPT and "the generative AI craze," CNBC writes that "This week offered the starkest illustration yet of what MIzuho analyst Jordan Klein said could be a 'changing of the guard in AI.'" Chipmakers Advanced Micro Devices and Intel notched gains of about 25%, while memory maker Micron jumped more than 37% and fiber-optic cable maker Corning climbed about 18%. All four of those companies have more than doubled in value this year, with Intel leading the way, up well over 200%. Nvidia, meanwhile, is only slightly ahead of the Nasdaq in 2026, gaining 15% for the year, aided by an 8% rally this week. In spreading the wealth to a wider swath of hardware companies, investors are clearly betting that the bull market in AI has long legs and that data centers are going to need a wider array of advanced components for years to come. Memory has been the biggest theme of late due to a global shortage that's driven up prices and turned Micron, a 47-year-old company tucked in a sleepy corner of the semiconductor market, into one of the hottest trades over the past 12 months. Micron blew past an $800 billion market capitalization for the first time this week, and the stock is now up over 750% in the past year. CEO Sanjay Mehrotra told CNBC in March that key customers are only getting "50% to two-thirds of their requirements" because of supply issues. The memory market is largely dominated by Micron, along with Korea-based Samsung and SK Hynix, which are also both in the midst of historic rallies... Bank of America estimates the data center CPU market could more than double from $27 billion in 2025 to $60 billion in 2030. AMD's quarterly results this week underscored the emerging trend, as earnings, revenue and guidance sailed past estimates on strong data center growth. The company has long led the CPU charge, and CEO Lisa Su said on the earnings call that AMD now expects 35% growth over the next three to five years in the server CPU market, up from a forecast of 18% growth that the company provided in November. The article cites two other big movers: Intel "is in the midst of a revival sparked by a major investment from the U.S. government last year. Intel's stock had its best month on record in April, more than doubling, and has continued notching massive gains, rising 33% in the early days of May." Nvidia still remains the world's most valuable company "and is expected to show revenue growth of 70% this fiscal year," the article points out — adding that companies like Corning are also benefiting from Nvidia partnerships. "Glass maker Corning, which celebrated its 175th anniversary this week, signed a massive deal with Nvidia on Wednesday that involves the development of three new U.S. factories dedicated entirely to optical technologies... likely a major step in Nvidia's move away from copper cables and towards fiber-optic cables as it builds out its rack-scale systems." Read more of this story at Slashdot.

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Nvidia invests $300 million in Corning to build three new US-based optical fiber plants — AI infrastructure deal would boost fiber production capacity by over 50%

The Hot Take: I feel this is FAR off, probably past PCIe 8.0 that just got written out.

Nvidia invests $300 million in Corning to help partners that deploy its hardware in the U.S. to get enough of optical fiber, grant Nvidia control over a significant chunk of domestic fiber production.

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NVIDIA N1X Arm SoC Leak Reveals Specs, Delayed Launch to 2027

The Hot Take: Interesting, is this feedback because people STILL want high performance parts? To me it looks like they've all been trying to push us to mid-range devices that we're not supposed to own either.

NVIDIA’s plans to enter the APU market are becoming clearer, as new leaks outline the specifications and timeline for its upcoming N1X SoC. The chip represents a shift for NVIDIA, combining an Arm-based CPU with a Blackwell GPU in a single package aimed at high-performance laptops and compact desktop systems.

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Supermicro GPU smuggling prompts Nvidia to intensify supply chain audit

The Hot Take: How far up the supply chain does this go? All the way to Nvidia? Only time will tell.

Following the recent smuggling indictment involving Supermicro co-founder Wally Liaw and others, Nvidia has significantly upgraded its global supply chain monitoring practices in recent months, according to an industry source. Already maintaining high visibility over customer lists, Nvidia now enforces stricter controls on shipments and transshipment processes, prompting multiple suppliers to expand their legal teams to comply with the intensified audits.

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MediaTek Abruptly Pulled From Computex 2026 Keynote Slot, Handing NVIDIA The Stage For Its N1 Laptop SoC Reveal

The Hot Take: It appears they're looking to accelerate Windows on ARM here. Nvidia seems to be pushing the ARM ISA hard these days with their new Server ARM SoC they just announced last month.

With the unexpected cancellation of MediaTek keynote, all eyes will be on NVIDIA's Jensen's presentation, possibly revealing the N1 Laptop SoC. Taitra Cancels MediaTek Rick Tsai's Computex Keynote Unexpectedly Ahead of the Event; NVIDIA Likely to Unveil the N1/N1X SoC for Low-Power Gaming Laptops We have all been waiting for NVIDIA to reveal its N1/N1X SoC that will power the next generation of low-power gaming laptops, positioning itself as a strong competitor against AMD and Intel in the mainstream segment. We are interested to know how the NVIDIA-MediaTek collaboration will shape up the laptop market since the N1X SoC is […]Read full article at https://wccftech.com/mediatek-abruptly-pulled-from-computex-2026-keynote-slot-handing-nvidia-the-stage/

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NVIDIA Improves Path Tracing Performance By 3x With Enhanced ReSTIR Algorithms, Prepped For Next-Gen Gaming

The Hot Take: Looks interesting we'll have to see how it actually looks and performs.

NVIDIA has shared a new and improved ReSTIR algorithm, which improves Path Tracing performance by 2-3x, setting the stage for next-gen gaming. Ray Tracing Is Cool, But Path Tracing Is Cooler & NVIDIA Is Making PT Faster by 3x With Its New ReSTIR Algorithms PC games are rapidly adopting Path Tracing as a means to deliver next-generation visual fidelity. Just like Ray Tracing, NVIDIA is the one who has paved the way for Path Tracing on PCs first. However, just like Ray Tracing in its early days, Path Tracing faces a challenge, and that's the requirement of faster hardware. As […]Read full article at https://wccftech.com/nvidia-improves-path-tracing-performance-by-3x-enhanced-restir-algorithms-next-gen-gaming/

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NVIDIA Just Made Quantum Computing Practical With Ising, The World’s First Open AI Models For Quantum Computers

The Hot Take: Interesting if it pans out but not sure we're there yet. They can barely program those quantum CPUs as it is....

NVIDIA has introduced Ising, its newest OpenAI models designed to make Quantum Computers useful and faster with brand new capabilities. NVIDIA Ising AI Models For Quantum Computers Bring Up To 3x Performance Boost Quantum Computing has been cited as the next frontier of computing for decades. Several companies have been trying to perfect quantum computing for years now, and only now have a few started to break the code. NVIDIA already offers an open-source development platform for quantum computing called CUDA-Q. The platform is "qubit-agnostic" and works seamlessly with QPUs and Qubit Modalities. Today, NVIDIA is announcing its first family […]Read full article at https://wccftech.com/nvidia-made-quantum-computing-practical-with-ising-worlds-first-open-ai-models/

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[Update] A Wild Rumor Says NVIDIA Might Be Looking to Acquire a PC Manufacturer, Aiming to “Reinvent” Gaming and Computing

The Hot Take: Interesting rumor, they keep saying it's false but only time will tell.

While NVIDIA has been mostly keeping itself away from the PC market in recent times, a new rumor suggests that the company might be looking towards an AIB acquisition. NVIDIA's Acquisition of an OEM Could Spearhead the Company's Entry Into the Laptop Segment, But Details Are Slim [Update - 4/14/2026] - NVIDIA has denied any such reports and offered us an official statement on the matter: “The media report is false; NVIDIA is not engaged in discussions to acquire any PC maker." NVIDIA rep to Wccftech The PC industry hasn't been in its best state recently, as AI and shortages […]Read full article at https://wccftech.com/a-wild-rumor-says-nvidia-might-be-looking-to-acquire-a-pc-manufacturer/

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