ASUS has recently held a charity auction with special edition ROG Astral GeForce RTX 5090 Dhahab Edition graphics card signed by NVIDIA's CEO, Jensen Huang. ASUS managed to raise $24,200, which will go to the TZU CHI USA Foundation, a volunteer-based non-governmental organization providing charitable assistance, medical aid, disaster relief, and educational services, and environmental protection programs to those in need.

The auction period lasted from June 4 to June 13, and showing how tight the race was, the three highest bidders were just $10 apart. As the ROG Astral GeForce RTX 5090 Dhahab OC Edition is quite a rare graphics card and sold exclusively in the Middle East, the one signed by Jensen Huang is quite a catch. Hopefully, it won't end up on eBay.

NVIDIA today announced it is working with European nations, and technology and industry leaders, to build NVIDIA Blackwell AI infrastructure that will strengthen digital sovereignty, support economic growth and position the continent as a leader in the AI industrial revolution. France, Italy, Spain and the U.K. are among the nations building domestic AI infrastructure with an ecosystem of technology and cloud providers, including Domyn, Mistral AI, Nebius and Nscale, and telecommunications providers, including Orange, Swisscom, Telefónica and Telenor.

These deployments will deliver more than 3,000 exaflops of NVIDIA Blackwell compute resources for sovereign AI, enabling European enterprises, startups and public sector organizations to securely develop, train and deploy agentic and physical AI applications. NVIDIA is establishing and expanding AI technology centers in Germany, Sweden, Italy, Spain, the U.K. and Finland. These centers build on NVIDIA's history of collaborating with academic institutions and industry through the NVIDIA AI Technology Center program and NVIDIA Deep Learning Institute to develop the AI workforce and scientific discovery throughout the regions.

NVIDIA GTC Paris at VivaTech -- NVIDIA today announced that it is teaming with model builders and cloud providers across Europe and the Middle East to optimize sovereign large language models (LLMs), providing a springboard to accelerate enterprise AI adoption for the region's industries.

Model builders and AI consortiums Barcelona Supercomputing Center (BSC), Bielik.AI, Dicta, H Company, Domyn, LightOn, the National Academic Infrastructure for Supercomputing in Sweden (NAISS) together with KBLab at the National Library of Sweden, the Slovak Republic, the Technology Innovation Institute (TII), the University College of London, the University of Ljubljana and UTTER are teaming with NVIDIA to optimize their models with NVIDIA Nemotron techniques to maximize cost efficiency and accuracy for enterprise AI workloads, including agentic AI.

NVIDIA plans to introduce its first Arm-based "N1/N1x" gaming SoC in Dell's Alienware laptops later this year or early 2026, according to Taiwanese reports. The SoC is being developed with MediaTek, combining an Arm-derived CPU core and NVIDIA's Blackwell GPU architecture. Early rumors suggest that NVIDIA's new SoC will operate within an 80 W to 120 W power range, positioning it among existing high-performance laptop chips. When Qualcomm entered the Arm-based laptop design market with its Snapdragon X-series, it faced challenges because many titles required emulation through Microsoft's Prism framework, leading to compatibility issues and lower frame rates on Arm-based Windows devices. NVIDIA plans to work closely with Microsoft and game developers to ensure that Arm compatibility is present from day one, so every Arm SoC maker will benefit.

Rumors of an Arm-centric NVIDIA chip first appeared in 2023, and recent leaks suggest an engineering prototype already exists. During an earnings presentation earlier this year, NVIDIA CEO Jensen Huang announced that the company plans to integrate Arm CPU blocks into AI-oriented hardware, specifically mentioning the Digits compute system. Dell's CEO, Michael Dell, also hinted at a future AI-capable PC collaboration with NVIDIA, fueling speculation that Alienware will be the first to use the new chip. Beyond gaming, the partnership with MediaTek could lead to broader Arm solutions for both desktops and mobile devices. MediaTek is reportedly working on its own Arm-based PC processors, and AMD is exploring Arm architectures for future Surface devices. NVIDIA's entry into this space could turn Dell's Alienware laptops into a practical testbed for high-performance Arm technology in a market long dominated by x86 workforce.

Ready for a front-row seat to the next scientific revolution? That's the idea behind Doudna—a groundbreaking supercomputer announced today at Lawrence Berkeley National Laboratory in Berkeley, California. The system represents a major national investment in advancing U.S. high-performance computing (HPC) leadership, ensuring U.S. researchers have access to cutting-edge tools to address global challenges. "It will advance scientific discovery from chemistry to physics to biology and all powered by—unleashing this power—of artificial intelligence," U.S. Energy Secretary Chris Wright (pictured above) said at today's event.

Also known as NERSC-10, Doudna is named for Nobel laureate and CRISPR pioneer Jennifer Doudna. The next-generation system announced today is designed not just for speed but for impact. Powered by Dell Technologies infrastructure with the NVIDIA Vera Rubin architecture, and set to launch in 2026, Doudna is tailored for real-time discovery across the U.S. Department of Energy's most urgent scientific missions. It's poised to catapult American researchers to the forefront of critical scientific breakthroughs, fostering innovation and securing the nation's competitive edge in key technological fields.

A fair few partner-produced items—exhibited at last week's Computex 2025 trade event—were blessed with Jensen Huang's signature. Not long after concluding his keynote presentation, the ever intrepid NVIDIA boss spent time on the showroom floor. The TechPowerUp crew stumbled upon an autographed example at the Palit booth: Pandora NXNano mini AI PC. Due to mitigating circumstances, we did not capture any shots of a nearby special prototype flagship graphics card. The Taiwanese manufacturer proudly showcased a "GeForce RTX 5090 Tornado" dual-fan/dual-slot design; its all-metal housing aesthetic recalls an older vintage of Team Green's Founder Edition line.

Several media outlets have examined this compelling prospect; at least from a safe distance. Palit did not allow any hands-on experiences. A first party-developed "double flow-through cooling solution" serves as a main inspiration for the Tornado engineering team. The GeForce board partner's implementation of an angled 12v-2x6 power connector is another borrowed element. According to VideoCardz's expert opinion, NVIDIA has supplied a reference PCB. Palit is best known for making budget-friendly (mostly plastic) options, so their Tornado card concept represents a compelling breakaway from normal patterns. Despite gaining an important official endorsement; several rival products were similarly decorated with Huang's autograph.

XPG's newly unveiled SFF-ready platform—carefully optimized for NVIDIA's omnipresent GeForce RTX 50-series—consists of several product ranges. Given the complicated nature of the manufacturer's various new item lineups, this article will concentrate on freshly unveiled power supplies units. At Computex 2025, ADATA's gaming division has keenly showed off its brand-new PYMCORE SFX PSU series. The company's ultra-compact designs are tailored for integration into VALOR AIR and MESH NANO cases—this synergistic combination is advertised as: "allowing longer GPUs to fit into SFF builds without compromising performance."

The XPG PYMCORE power supply series is fully up-to-date with modern standards—most notably, being ATX 3.1 and PCIe 5.1 compliant. A 1000 W Platinum 80+ certified flagship model offers 235% power excursion. 12V2x6 (600 W) connectors can be linked to compatible SFF-ready enthusiast-grade NVIDIA GeForce graphics cards (and a smattering of custom Radeon RX 9070 Series models). A flagship PYMCORE unit was closely inspected by a TechPowerUp staff member; they took note of three 12V2x6 outputs. One exhibited specimen was deemed very special; due to having been blessed by Jensen Huang's signature. In addition, XPG is readying 850 W and 750 W Gold-rated PYMCORE SKUs. All models are configured with 100% Japanese capacitors.

Agentic AI is redefining scientific discovery and unlocking research breakthroughs and innovations across industries. Through deepened collaboration, NVIDIA and Microsoft are delivering advancements that accelerate agentic AI-powered applications from the cloud to the PC. At Microsoft Build, Microsoft unveiled Microsoft Discovery, an extensible platform built to empower researchers to transform the entire discovery process with agentic AI. This will help research and development departments across various industries accelerate the time to market for new products, as well as speed and expand the end-to-end discovery process for all scientists.

Microsoft Discovery will integrate the NVIDIA ALCHEMI NIM microservice, which optimizes AI inference for chemical simulations, to accelerate materials science research with property prediction and candidate recommendation. The platform will also integrate NVIDIA BioNeMo NIM microservices, tapping into pretrained AI workflows to speed up AI model development for drug discovery. These integrations equip researchers with accelerated performance for faster scientific discoveries. In testing, researchers at Microsoft used Microsoft Discovery to detect a novel coolant prototype with promising properties for immersion cooling in data centers in under 200 hours, rather than months or years with traditional methods.

NVIDIA and the Kingdom of Saudi Arabia (KSA) have announced partnerships to transform the country into a global powerhouse in AI, cloud and enterprise computing, digital twins and robotics. During a state visit today with U.S. President Donald Trump and His Royal Highness Prince Mohammed bin Salman bin Abdulaziz Al Saud, Crown Prince and Prime Minister of Saudi Arabia, NVIDIA founder and CEO Jensen Huang said that the effort will harness sovereign AI infrastructure and expertise to propel Saudi Arabia to the ranks of global hyperscale AI leaders. "AI, like electricity and internet, is essential infrastructure for every nation," Huang said. "Together with HUMAIN, we are building AI infrastructure for the people and companies of Saudi Arabia to realize the bold vision of the Kingdom."

"Our partnership with NVIDIA is a bold step forward in realizing the Kingdom's ambitions to lead in AI and advanced digital infrastructure," said Tareq Amin, CEO of HUMAIN. "Together, we are building the capacity, capability and a new globally enabled community to shape a future powered by intelligent technology and empowered people."

NVIDIA today received multiple accolades at COMPUTEX's Best Choice Awards, in recognition of innovation across the company. The NVIDIA GeForce RTX 5090 GPU won the Gaming and Entertainment category award; the NVIDIA Quantum-X Photonics InfiniBand switch system won the Networking and Communication category award; NVIDIA DGX Spark won the Computer and System category award; and the NVIDIA GB200 NVL72 system and NVIDIA Cosmos world foundation model development platform won Golden Awards. The awards recognize the outstanding functionality, innovation and market promise of technologies in each category. Jensen Huang, founder and CEO of NVIDIA, will deliver a keynote at COMPUTEX on Monday, May 19, at 11 a.m. Taiwan time.

GB200 NVL72 and NVIDIA Cosmos Go Gold
NVIDIA GB200 NVL72 and NVIDIA Cosmos each won Golden Awards. The NVIDIA GB200 NVL72 system connects 36 NVIDIA Grace CPUs and 72 NVIDIA Blackwell GPUs in a rack-scale design. It delivers 1.4 exaflops of AI performance and 30 terabytes of fast memory, as well as 30x faster real-time trillion-parameter large language model inference with 25x energy efficiency compared with the NVIDIA H100 GPU. By design, the GB200 NVL72 accelerates the most compute-intensive AI and high-performance computing workloads, including AI training and data processing for engineering design and simulation. NVIDIA Cosmos accelerates physical AI development by enabling developers to build and deploy world foundation models with unprecedented speed and scale.

ServiceNow is accelerating enterprise AI with a new reasoning model built in partnership with NVIDIA—enabling AI agents that respond in real time, handle complex workflows and scale functions like IT, HR and customer service teams worldwide. Unveiled today at ServiceNow's Knowledge 2025—where NVIDIA CEO and founder Jensen Huang joined ServiceNow chairman and CEO Bill McDermott during his keynote address—Apriel Nemotron 15B is compact, cost-efficient and tuned for action. It's designed to drive the next step forward in enterprise large language models (LLMs).

Apriel Nemotron 15B was developed with NVIDIA NeMo, the open NVIDIA Llama Nemotron Post-Training Dataset and ServiceNow domain-specific data, and was trained on NVIDIA DGX Cloud running on Amazon Web Services (AWS). The news follows the April release of the NVIDIA Llama Nemotron Ultra model, which harnesses the NVIDIA open dataset that ServiceNow used to build its Apriel Nemotron 15B model. Ultra is among the strongest open-source models at reasoning, including scientific reasoning, coding, advanced math and other agentic AI tasks.

Mid-way through April, we heard about sanctions affecting shipments of NVIDIA's H20 AI chips into China. Despite (rumored) best efforts made by Jensen Huang and colleagues, the US government has banned the export of Team Green's formerly sanction-conformant design. Similarly, NVIDIA prepared a slightly less potent GPU for gaming applications—exclusively for the Chinese market. Despite sporting a restricted GB202 "Blackwell" GPU die, the GeForce RTX 5090D 32 GB is still a monstrous prospect. According to Chinese PC hardware news sources, Team Green representatives have sent alerts to "all" of its Chinese add-in-card partners (AICs)—early warning signs have indicated a possible cut-off of GB202 GPUs in the near future. A member of the Chiphell forum disclosed some insider knowledge and dismissed unfounded speculation about RTX 5090D cards being replaced by "full fat" RTX 5090 options.

sthuasheng commented on Team Green's alleged bulletin—distributed at some point last week: "the notice only said that the supply of RTX 5090D was suspended, ...this did not mean any sales or transportation ban; it urged everyone not to make any speculations or judgments unless there was an official notice issued at a later date. After this notice was issued, each AIC began to notify agents to suspend sales, because the inventory of 5090D has always been very small, so it is necessary to keep these stocks to observe the subsequent situation and deal with the subsequent after-sales. At the same time, we might as well speculate that each AIC and dealer may also have the intention to stockpile 5090D units and then sell them at an elevated price." BenchLife.info decided to reach out to industry moles, following an absorption of various Chiphell whispers.

NVIDIA is working with its manufacturing partners to design and build factories that, for the first time, will produce NVIDIA AI supercomputers entirely in the U.S. Together with leading manufacturing partners, the company has commissioned more than a million square feet of manufacturing space to build and test NVIDIA Blackwell chips in Arizona and AI supercomputers in Texas. NVIDIA Blackwell chips have started production at TSMC's chip plants in Phoenix, Arizona. NVIDIA is building supercomputer manufacturing plants in Texas, with Foxconn in Houston and with Wistron in Dallas. Mass production at both plants is expected to ramp up in the next 12-15 months. The AI chip and supercomputer supply chain is complex and demands the most advanced manufacturing, packaging, assembly and test technologies. NVIDIA is partnering with Amkor and SPIL for packaging and testing operations in Arizona.

Within the next four years, NVIDIA plans to produce up to half a trillion dollars of AI infrastructure in the United States through partnerships with TSMC, Foxconn, Wistron, Amkor and SPIL. These world-leading companies are deepening their partnership with NVIDIA, growing their businesses while expanding their global footprint and hardening supply chain resilience. NVIDIA AI supercomputers are the engines of a new type of data center created for the sole purpose of processing artificial intelligence—AI factories that are the infrastructure powering a new AI industry. Tens of "gigawatt AI factories" are expected to be built in the coming years. Manufacturing NVIDIA AI chips and supercomputers for American AI factories is expected to create hundreds of thousands of jobs and drive trillions of dollars in economic security over the coming decades.

NVIDIA's CEO Jensen Huang made some interesting commentary for the Financial Times, stating that the company will procure over half a trillion US Dollars worth of electronics over the next four years, and it it plans to keep hundreds of billions from the supply chain procurement in the US. "Overall, we will procure, over the course of the next four years, probably half a trillion dollars worth of electronics in total. And I think we can easily see ourselves manufacturing several hundred billion of it here in the US," said Jensen for FT. NVIDIA currently manufactures its silicon at TSMC's facilities, as well as electronics like motherboards and servers at Foxconn. However, the geopolitical situation is making NVIDIA reconsider its supply chain dependencies, and the company is looking for more US-based manufacturing.

NVIDIA confirmed that its latest "Blackwell" series of GPUs, including the latest Blackwell Ultra, are being manufactured at TSMC's Arizona facilities. TSMC announced a $100 billion investment in its Arizona expansion, and NVIDIA is ready to take up more of TSMC's capacity to meet its ever-growing demand for GPUs. During the GTC 2025 event, Jensen noted that only four cloud service providers will use 3.6 million GPUs this year. That is without any AI labs and enterprises, which are massive consumers of GPUs (xAI only has 200,000 GPU clusters). To continue manufacturing excellence so customers won't suffer, NVIDIA is also looking at other options for supply chain manufacturing partners. Intel, the only US-based company capable of producing advanced silicon, is a potential target for NVIDIA. "We evaluate their foundry technology on a regular basis, and we are ongoing in doing that... We look for opportunities to be a customer of theirs... I have every confidence that Intel can do it," added Jensen, who also stated that NVIDIA is interested in silicon manufacturing and chip packaging services, as Intel's Foveros 3D packaging and other technologies are attractive for Team Green.

The "standard" ASUS ROG Astral RTX 5090 OC Edition is already a really an "astronomically expensive" prospect (if you can find available stock); launch MSRP was $2800, but retailers pushed that figure beyond the $3000 mark. An even fancier golden variant exists—as a reminder; news outlets picked up on the existence of a "Dhahab" model early last month. This luxuriously decorated collector piece was likely introduced as a regional exclusive, for MENA (Middle-East and North Africa). This week, ASUS managed to sneak one gold encrusted sample out to San Francisco, California.

Ernest Cheng—Director of Marketing at the firm's North American branch—shared a photo (via LinkedIn) of the very unique ROG Astral RTX 5090 Dhahab OC Edition model; freshly scribbled on by Jensen Huang during GTC 2025. The ASUS exec commented on this blessing: "graphics card is one of a kind when it's been anointed. But it says a lot more when it's a Golden ROG RTX 5090 Astral." Press outlets reckon that this extremely special item will be auctioned off for charity; the presence of Team Green CEO's autograph and slogan ("RTX ON!") will boost its value severalfold. A Jensen Huang-signed ROG MATRIX RTX 4090 PLATINUM card attracted a top bid of $16,000; Der8auer (aka Roman Hartung) was officially congratulated as the winner back in late 2023.

Update 18:02 UTC: ASUS has confirmed that it will be supporting a local charity: "we are extremely honored to have this special edition ROG Astral RTX 5090 Dhahab OC graphics card, signed by NVIDIA CEO Jensen Huang. This card will be officially auctioned to support relief efforts for the California wildfires in Los Angeles."

At GTC 2025, NVIDIA announced the NVIDIA AI Data Platform, a customizable reference design that leading providers are using to build a new class of AI infrastructure for demanding AI inference workloads: enterprise storage platforms with AI query agents fueled by NVIDIA accelerated computing, networking and software. Using the NVIDIA AI Data Platform, NVIDIA-Certified Storage providers can build infrastructure to speed AI reasoning workloads with specialized AI query agents. These agents help businesses generate insights from data in near real time, using NVIDIA AI Enterprise software—including NVIDIA NIM microservices for the new NVIDIA Llama Nemotron models with reasoning capabilities—as well as the new NVIDIA AI-Q Blueprint.

Storage providers can optimize their infrastructure to power these agents with NVIDIA Blackwell GPUs, NVIDIA BlueField DPUs, NVIDIA Spectrum-X networking and the NVIDIA Dynamo open-source inference library. Leading data platform and storage providers—including DDN, Dell Technologies, Hewlett Packard Enterprise, Hitachi Vantara, IBM, NetApp, Nutanix, Pure Storage, VAST Data and WEKA—are collaborating with NVIDIA to create customized AI data platforms that can harness enterprise data to reason and respond to complex queries. "Data is the raw material powering industries in the age of AI," said Jensen Huang, founder and CEO of NVIDIA. "With the world's storage leaders, we're building a new class of enterprise infrastructure that companies need to deploy and scale agentic AI across hybrid data centers."

NVIDIA today announced it is building a Boston-based research center to provide cutting-edge technologies to advance quantum computing. The NVIDIA Accelerated Quantum Research Center, or NVAQC, will integrate leading quantum hardware with AI supercomputers, enabling what is known as accelerated quantum supercomputing. The NVAQC will help solve quantum computing's most challenging problems, ranging from qubit noise to transforming experimental quantum processors into practical devices.

Leading quantum computing innovators, including Quantinuum, Quantum Machines and QuEra Computing, will tap into the NVAQC to drive advancements through collaborations with researchers from leading universities, such as the Harvard Quantum Initiative in Science and Engineering (HQI) and the Engineering Quantum Systems (EQuS) group at the Massachusetts Institute of Technology (MIT).

One of COMPUTEX's organizers, TAITRA (Taiwan External Trade Development Council), announced that NVIDIA founder and CEO Jensen Huang will deliver the first keynote at COMPUTEX 2025, outlining the latest advancements and breakthroughs in AI and accelerated computing technologies.

The keynote will take place at the Taipei Music Center and be livestreamed at 11 a.m. Taiwan Time on Monday, May 19 (Sunday, May 18, 8 p.m. PT), with a replay available on COMPUTEX Keynote website.

Supply chain insiders believe that NVIDIA's "Blackwell Ultra" GB300 AI chip design will get a formal introduction at next week's GTC 2025 conference. Jensen Huang's keynote presentation is scheduled—the company's calendar is marked with a very important date: Tuesday, March 18. Team Green's chief has already revealed a couple of Blackwell B300 series details to investors; a recent earnings call touched upon the subject of a second half (of 2025) launch window. Industry moles have put spotlights on the GB300 GPU's alleged energy hungry nature. According to inside tracks, power consumption has "significantly" increased when compared to a slightly older equivalent; NVIDIA's less refined "Blackwell" GB200 design.

A Taiwan Economic Daily news article predicts an upcoming "second cooling revolution," due to reports of "Blackwell Ultra" parts demanding greater heat dissipation solutions. Supply chain leakers have suggested effective countermeasures—in the form of fully liquid-cooled systems: "not only will more water cooling plates be introduced, but the use of water cooling quick connectors will increase four times compared to GB200." The pre-Christmas 2024 news cycle proposed a 1400 W TDP rating. Involved "Taiwanese cooling giants" are expected to pull in tidy sums of money from the supply of optimal heat dissipating gear, with local "water-cooling quick-connector" manufacturers also tipped to benefit greatly. The UDN report pulled quotes from a variety of regional cooling specialists; the consensus being that involved partners are struggling to keep up with demand across GB200 and GB300 product lines.

NVIDIA today announced GTC 2025, the world's premier AI conference, will return March 17-21 to San Jose, California—bringing together the brightest minds in AI to showcase breakthroughs happening now in physical AI, agentic AI and scientific discovery. GTC will bring together 25,000 attendees in person—and 300,000 attendees virtually—for an in-depth look at the technologies shaping the future. NVIDIA founder and CEO Jensen Huang will deliver the keynote from SAP Center on Tuesday, March 18, at 10 a.m. PT focused on AI and accelerated computing technologies changing the world. It will be livestreamed and available on demand at nvidia.com. Registration is not required to view the keynote online.

Onsite attendees can arrive at SAP Center early to enjoy a live pregame show hosted by the "Acquired" podcast and other surprise festivities. Virtual attendees can catch the pregame show live online. "AI is pushing the limits of what's possible—turning yesterday's dreams into today's reality," Huang said. "GTC brings together the brightest scientists, engineers, developers and creators to imagine and build a better future. Come and be first to see the new advances in NVIDIA computing and breakthroughs in AI, robotics, science and the arts that will transform industries and society."

Generative AI is redefining computing, unlocking new ways to build, train and optimize AI models on PCs and workstations. From content creation and large and small language models to software development, AI-powered PCs and workstations are transforming workflows and enhancing productivity. At GTC 2025, running March 17-21 in the San Jose Convention Center, experts from across the AI ecosystem will share insights on deploying AI locally, optimizing models and harnessing cutting-edge hardware and software to enhance AI workloads—highlighting key advancements in RTX AI PCs and workstations.

Develop and Deploy on RTX
RTX GPUs are built with specialized AI hardware called Tensor Cores that provide the compute performance needed to run the latest and most demanding AI models. These high-performance GPUs can help build digital humans, chatbots, AI-generated podcasts and more. With more than 100 million GeForce RTX and NVIDIA RTX GPUs users, developers have a large audience to target when new AI apps and features are deployed. In the session "Build Digital Humans, Chatbots, and AI-Generated Podcasts for RTX PCs and Workstations," Annamalai Chockalingam, senior product manager at NVIDIA, will showcase the end-to-end suite of tools developers can use to streamline development and deploy incredibly fast AI-enabled applications.

Investment bank Morgan Stanley has estimated that an astonishing 77% of all globally produced silicon wafers dedicated to AI accelerators will be consumed by none other than NVIDIA. Often, investment research by large investment banks like Morgan Stanley includes information from the semiconductor supply chain, which is constantly expanding to meet NVIDIA's demands. When looking at wafer volume for AI accelerators, it is estimated that in 2024, NVIDIA captured nearly 51% of wafer consumption for its chips, more than half of all demand. With NVIDIA's volume projected to grow to 77%, this represents more than a 50% year-over-year increase, which is incredible for a company of NVIDIA's size. Right now, NVIDIA is phasing out its H100 accelerators in favor of Blackwell 100/200 and the upcoming 300 series of GPUs paired with Grace CPUs.

NVIDIA is accelerating its product deployment timeline and investing a lot in its internal research and development. Morgan Stanley also projects that NVIDIA will invest almost $16 billion in its R&D budget, enough to endure four to five years of development cycles running three design teams sequentially and still delivering new products on an 18-24 month cadence. The scale of this efficiency and development rivals everyone else in the industry. With all this praise, NVIDIA's Q4 revenue report is coming in exactly a week on February 26, so we have to see what its CEO, Jensen Huang, will deliver and show some estimates for the coming months.

At the RTX "Blackwell" Editor's Day during CES 2025, NVIDIA pulled back the curtain on one of its most powerful tools: a dedicated supercomputer that has been continuously improving DLSS (Deep Learning Super Sampling) for the past six years. Brian Catanzaro, NVIDIA's VP of applied deep learning research, disclosed that thousands of the company's latest GPUs have been working round-the-clock, analyzing and perfecting the technology that has revolutionized gaming graphics. "We have a big supercomputer at NVIDIA that is running 24/7, 365 days a year improving DLSS," Catanzaro explained during his presentation on DLSS 4. The supercomputer's primary task involves analyzing failures in DLSS performance, such as ghosting, flickering, or blurriness across hundreds of games. When issues are identified, the system augments its training data sets with new examples of optimal graphics and challenging scenarios that DLSS needs to address.

DLSS 4 is the first move from convolutional neural networks to a transformer model that runs locally on client PCs. The continuous learning process has been crucial in refining the technology, with the dedicated supercomputer serving as the backbone of this evolution. The scale of resources allocated to DLSS development is massive, as the entire pipeline for a self-improving DLSS model must consist of not only thousands but tens of thousands of GPUs. Of course, a company making 100,000 GPU data centers (xAI's Colossus) must save some for itself and is proactively using it to improve its software stack. NVIDIA's CEO Jensen Huang famously said that DLSS can predict the future. Of course, these statements are to be tested when the Blackwell series launches. However, the approach of using massive data centers to improve DLSS is quite interesting, and with each new GPU generation NVIDIA release, the process is getting significantly sped up.

NVIDIA today announced generative AI models and blueprints that expand NVIDIA Omniverse integration further into physical AI applications such as robotics, autonomous vehicles and vision AI. Global leaders in software development and professional services are using Omniverse to develop new products and services that will accelerate the next era of industrial AI.

Accenture, Altair, Ansys, Cadence, Foretellix, Microsoft and Neural Concept are among the first to integrate Omniverse into their next-generation software products and professional services. Siemens, a leader in industrial automation, announced today at the CES trade show the availability of Teamcenter Digital Reality Viewer—the first Siemens Xcelerator application powered by NVIDIA Omniverse libraries.

NVIDIA today unveiled the most advanced consumer GPUs for gamers, creators and developers—the GeForce RTX 50 Series Desktop and Laptop GPUs. Powered by the NVIDIA Blackwell architecture, fifth-generation Tensor Cores and fourth-generation RT Cores, the GeForce RTX 50 Series delivers breakthroughs in AI-driven rendering, including neural shaders, digital human technologies, geometry and lighting.

"Blackwell, the engine of AI, has arrived for PC gamers, developers and creatives," said Jensen Huang, founder and CEO of NVIDIA. "Fusing AI-driven neural rendering and ray tracing, Blackwell is the most significant computer graphics innovation since we introduced programmable shading 25 years ago." The GeForce RTX 5090 GPU—the fastest GeForce RTX GPU to date—features 92 billion transistors, providing over 3,352 trillion AI operations per second (TOPS) of computing power. Blackwell architecture innovations and DLSS 4 mean the GeForce RTX 5090 GPU outperforms the GeForce RTX 4090 GPU by up to 2x.