Nvidia has struck a series of deals with South Korea’s tech leaders that will result in more than 250,000 of its chips deployed across that country. Included in the frenzy of activity are Samsung Electronics, which is teaming with Nvidia to build an AI “megafactory” that will use more than 50,000 Nvidia GPUs for an intelligent manufacturing facility that will produce state-of-the-art processors that will be used in mobile devices, and robotics, among other things. Nvidia also has South Korean AI factories in the works with Hyundai and manufacturing conglomerate SK Group. The announcements were made as Nvidia CEO Jensen Huang attended the Asia-Pacific Economic Cooperation (APEC) meetings. Continue reading Nvidia Talks Up Robotics and AI Megafactory with Samsung

Every scientific supercomputer powered by Nvidia GPUs will soon be a hybrid quantum computer, CEO Jensen Huang said during last week’s Nvidia GTC conference as he unveiled a quantum compute accelerator called NVQLink that connects “quantum and classical supercomputers — uniting them into a single, coherent system that marks the onset of the quantum-GPU computing era.” Accessible through Nvidia’s CUDA-Q software, NVQLink can create and test applications that draw on CPUs and GPUs alongside QPUs, “helping ready the industry for the hybrid quantum-classical supercomputers of the future.” At the conference, Huang also announced a Nokia partnership that will deliver AI-native 6G using new Nvidia tech. Continue reading Nvidia Unveils Quantum Accelerator, $1 Billion Nokia 6G Deal

Nvidia is investing up to $100 billion in a partnership with OpenAI that will result in what Nvidia CEO Jensen Huang predicts will be “the biggest AI infrastructure deployment in history.” The project will use about 10 gigawatts worth of Nvidia systems — including the upcoming Vera Rubin platform — power equivalent to 4 million to 5 million GPUs. “This partnership is about building an AI infrastructure that enables AI to go from the labs into the world,” Huang said on CNBC’s “Halftime Report,” explaining the $100 billion will be invested in stages as each gigawatt is deployed. The investment will be all-cash with Nvidia receiving an undisclosed amount of OpenAI equity. Continue reading Nvidia Investing $100 Billion in OpenAI Data Center Build-Out

Nvidia is investing $5 billion in Intel via a common stock purchase at $23.28 per share, which translates to about a 4 percent stake. The companies plan to collaborate across multiple projects, developing custom data center and PC products to accelerate applications and workloads across the hyperscale, enterprise and consumer markets. Nvidia’s NVLink will be used to connect the architectures, integrating Nvidia’s GPUs with Intel’s CPU technologies. For data centers, Intel will customize x86 CPUs that Nvidia can integrate into its AI platforms. Intel also plans to build x86 SOCs that integrate Nvidia RTX GPU chiplets for PCs. Continue reading Nvidia Invests $5 Billion in Intel with Plans for AI Infrastructure

Nvidia has designed a new class of GPU for massive-context inference, the Rubin CPX, due in late 2026. Purpose-built to speed the million-token applications used to generate video and create software, the Rubin CPX functions as a specialty accelerator, working in concert with Nvidia Vera CPUs and Rubin GPUs packaged inside the upcoming Vera Rubin NVL144 CPX rack platform. “The Vera Rubin platform will mark another leap in the frontier of AI computing,” revolutionizing massive-context AI just as RTX did graphics and physical AI, said Nvidia CEO Jensen Huang. Continue reading Nvidia Says Rubin CPX Inference Accelerator Coming in 2026

Santa Clara, California-based Nvidia reported its sales were $46.7 billion for the most recent quarter, marking 56 percent growth over the same period last year and up 6 percent sequentially. Profit rose more than 59 percent to $26.42 billion. The results, which surpassed estimates, reassured global analysts and investors that AI infrastructure spending remains strong, easing — though not erasing — anxieties about an AI bubble. This summer, the chipmaker became the first company to exceed a market cap of $4 trillion, and it is considered a global barometer for the overall health of the artificial intelligence sector. Continue reading Nvidia Announces Continued Growth, $26 Billion in Q2 Profit

Nvidia has unveiled the Blackwell Server Edition GPU designed for enterprise servers. The reveal was made at the ACM SIGGRAPH 2025 computer graphics conference, which started Sunday and runs through Thursday in Vancouver. The company also introduced a host of resources for robotics developers that include a new AI family called the Cosmos World Foundation Models, or Cosmos WFMs, which generate “physics-aware” videos. Notable among them is Cosmos Reason, an open and customizable 7-billion-parameter reasoning vision language model (VLM) for physical AI and robotics. Continue reading SIGGRAPH: Nvidia Touts Server Chip, Cosmos World Models

The U.S. Department of Energy has commissioned Dell to deliver its next supercomputer, expected to come online in 2026. Referred to as Doudna, in honor of the Nobel Prize-winning biochemist Jennifer Doudna, it is also known as NERSC-10 for its home at the DOE’s National Energy Research Scientific Computing Center at Lawrence Berkeley National Laboratory in Berkeley, California. Powered by Nvidia’s new Vera Rubin platform, Doudna will be optimized for AI workloads and aims to deliver a greater than tenfold speed boost over NERSC’s current flagship machine, Perlmutter, while using only 2-3x the power. Continue reading Dell Is Building Next DOE Supercomputer, Powered by Nvidia

Stargate UAE is the first major deal announced by the OpenAI-led Stargate consortium in its march to develop giant data centers for artificial intelligence around the world. The massive Abu Dhabi cluster is expected to go live with 200 megawatts in 2026 then scale up to 1 gigawatt — enough to power a million homes — eventually taking its place as part of a 5GW UAE-U.S. AI technology cluster in the region. Stargate partners G42, Oracle, Nvidia, Cisco and SoftBank are participating in the build-out, which OpenAI explains was “developed in close coordination with the U.S. government.” Continue reading OpenAI-Led Stargate UAE Is Latest in Middle East Tech Push

Nvidia is rolling out DGX Cloud Lepton, a platform that connects AI developers with GPU access available through various cloud providers. Nvidia calls it “a compute marketplace” that offers tens of thousands of GPUs through a global network that features Nvidia Cloud Partners (NCPs). Among them: CoreWeave, Crusoe, Firmus, Foxconn, GMI Cloud, Lambda, Nebius, Nscale, Softbank Corp. and Yotta Data Services — offering Nvidia Blackwell and other architecture GPUs. Developers can tap into GPU compute capacity in specific regions for both on-demand and long-term computing, Nvidia says, adding that it expects leading cloud computing providers to eventually sign on. Continue reading DGX Cloud Lepton: Nvidia’s New GPU Compute Marketplace

Nvidia is joining forces with Foxconn to build Taiwan’s first supercomputer. Foxconn, the world’s largest contract manufacturer of electronics, will implement the system through its subsidiary Big Innovation Company, which specializes in advanced tech solutions for enterprise. The supercomputer will leverage 10,000 Nvidia Blackwell GPUs, providing “orders-of-magnitude faster performance, compared with previous-generation systems,” said Nvidia CEO Jensen Huang in his Computex keynote. Huang also announced a new initiative that will let companies build semi-custom chips and talked-up desktop supercomputers in the works with Acer and Asus. Continue reading Nvidia, Foxconn Plan to Build an AI Supercomputer in Taiwan

During Nvidia’s GTC AI Conference in San Jose earlier this month, VP and GM of Media & Entertainment Richard Kerris presented the Nvidia Media2 initiative that builds on the company’s Blackwell GPU foundation to enable real-time AI solutions for all aspects of media production workflows. His talk showcased a broad range of generative AI breakthroughs in real-time ray tracing and VFX, video search and summarization, and musically-based sound effects (SFX). Kerris also shared insights on the media industry’s reception to AI thus far and humbly implored the audience to consider using such technology as an effective new tool for storytelling. Continue reading Nvidia Forges AI Initiative to Streamline Production Workflows

Nvidia delivered stellar earnings again, with profit up 80 percent to $22.09 billion for fiscal Q4, the period that ended January 26, 2025. Record quarterly revenue hit $39.3 billion, a 12 percent uptick from Q3 and a 78 percent increase year-over-year, driven in part by sales of the company’s Blackwell AI chips. The results rebut predictions that the leading-edge chipmaker would suffer due to a recent wave of Chinese AI models created using fewer and largely older chips. That trend rocked Nvidia stock over the past quarter, but the Silicon Valley-based company managed to maintain momentum. Continue reading New Blackwell AI Chip Helps Boost Nvidia to Record Quarter

Just weeks after Nvidia announced the availability of its $249 “compact AI supercomputer,” the Jetson Orin Nano Super Developer Kit for startups and hobbyists, CEO Jensen Huang revealed the company is planning to launch a personal AI supercomputer called Project Digits with a starting price of $3,000. The desktop-sized system features the GB10 Grace Blackwell Superchip, which enables it to handle AI models with up to 200 billion parameters. Nvidia claims there is enough processing power to run high-end AI models (performing up to one quadrillion AI calculations per second) while the compact system can run from a standard power outlet. Continue reading CES: Nvidia Will Launch a $3,000 Personal AI Supercomputer

Nvidia is hoping interest in artificial intelligence will translate to consumer sales of a relatively low-priced computer optimized for basic AI functionality. Last month, the company upgraded its Jetson line with a $249 “compact AI supercomputer,” the Jetson Orin Nano Super Developer Kit. At half the price of the original, the model aims to attract students, developers, hobbyists, small- and medium-sized businesses, and anyone who is AI curious. “As the AI world is moving from task-specific models into foundation models, it provides an accessible platform to transform ideas into reality,” according to Nvidia. Continue reading Nvidia Targets Consumers with $249 Compact Supercomputer