News Releases - NVIDIA Newsroom

Korea Advances Physical AI Across Industries With NVIDIA

NVIDIA Writers — Mon, 09 Nov 2026 05:00:40 GMT

Tapping into the country’s strengths in manufacturing and engineering, NVIDIA is helping advance Korea’s physical AI ecosystem. The country’s industry leaders are applying accelerated computing, AI and simulation to everything from semiconductor manufacturing to robotics and autonomous vehicles. These efforts are helping bring physical AI from development into real-world production. Samsung Advances Semiconductor Engineering With […]

Korea’s AI Ecosystem Advances and Secures Agentic AI With NVIDIA

Nicola Sessions — Mon, 09 Nov 2026 05:00:39 GMT

As AI agents take on more work, they need capable open models and security that advances alongside them. Hyundai Motor Group is exploring NVIDIA NemoClaw blueprints and the NVIDIA OpenShell runtime, while AIM Intelligence is integrating its Starfort platform with NVIDIA OpenShell to support secure AI agents for employee productivity and enterprise workflows. A key […]

From Chips to Skills, NVIDIA and Korea Expand Sovereign AI Collaboration

Jesse Clayton — Mon, 09 Nov 2026 05:00:04 GMT

NVIDIA and Korea’s Ministry of Science and ICT (MSIT) are expanding their collaboration across the country’s sovereign AI ecosystem, from AI semiconductors and data center infrastructure to talent, startups, models, agents and security. The collaboration lays the groundwork for Korean NPU and XPU companies to explore participation in the NVIDIA NVLink Fusion ecosystem, and includes […]

NVIDIA Dynamo Recipes Bring Korea’s Leading Open Models to Production

Amr Elmeleegy — Mon, 09 Nov 2026 05:00:00 GMT

NVIDIA is releasing Dynamo-optimized deployment recipes for Korea’s leading open models: A.X K2 from SK Telecom, K-EXAONE 2.0 from LG AI Research, Solar Open 2 from Upstage and Motif-3 from Motif Technologies. As models grow beyond the capacity of a single GPU, they must be split across multiple GPUs, requiring careful coordination of request routing […]

NVIDIA, Rebellions and SK Telecom Announce Collaboration to Advance Sovereign AI Infrastructure With NVIDIA NVLink Fusion

Mon, 09 Nov 2026 05:00:00 GMT

News Summary:

Rebellions plans to adopt NVIDIA NVLink Fusion to connect its next-generation R200 neural processing units to NVIDIA’s open infrastructure platform for rack-scale inference.
SK Telecom plans to deploy these systems in its AI data center to support its vision for full-stack sovereign AI spanning infrastructure, proprietary models and public-facing services, including those under Korea’s “AI for All” project.
The collaboration, supported by Korea’s Ministry of Science and ICT, aims to connect domestic semiconductor innovation with infrastructure for sovereign AI.

NVIDIA, Rebellions and SK Telecom today announced a collaboration to advance Korea’s sovereign AI infrastructure — using NVIDIA NVLink Fusion™ to bring together NVIDIA’s open infrastructure platform, Rebellions’ Korean-designed AI processors and SK Telecom’s AI data center, model and service capabilities.

As part of the agreement, Rebellions will use NVLink Fusion to connect its Rebel R200 neural processing units (NPUs) to the NVIDIA platform, and harness the NVIDIA MGX™ rack architecture for rack-scale system development. SK Telecom plans to deploy these systems, drawing on its AI data center operations expertise, proprietary models and services.

Supported by Korea’s Ministry of Science and ICT (MSIT), the collaboration aims to support AI services tailored to Korea’s language, industries and priorities, connecting Korean semiconductor development with the systems and operational capabilities needed to deliver AI at scale.

“Korea has the talent, technology and industrial ambition to become a world leader in AI,” said Jensen Huang, founder and CEO of NVIDIA. “Sovereign AI gives nations the power to turn their language, culture and expertise into intelligence. With NVLink Fusion, Korea’s chipmakers can connect their custom ASICs to NVIDIA’s AI factory platform, tightly coupling their processors with NVIDIA compute to run AI workloads. Together with MSIT, Rebellions and SK Telecom, we’re building the computing foundation for Korea to produce its own intelligence and power its next industrial revolution.”

“Today’s announcement marks a turning point, opening a new chapter for sovereign AI by connecting Korea’s AI silicon and models with global systems technology,” said Sunghyun Park, cofounder and CEO of Rebellions. “By integrating Rebellions’ purpose-built silicon and system design with NVIDIA’s NVLink Fusion, high-speed interconnects and rack-scale design expertise, and SKT’s model and data center operations capabilities, we will deliver low-latency and energy-efficient inference for frontier models at scale. As a leading Korean AI silicon startup, we will lead the charge to establish Korean technology as a core pillar powering AI worldwide.”

“This collaboration is meaningful in that it validates the potential of next-generation sovereign AI infrastructure by combining global AI infrastructure technology with Korean AI semiconductors,” said Jung Jai-hun, president and CEO of SK Telecom. “By linking SKT’s AI data centers, proprietary AI models including A.X K2, and public-facing AI services developed under the ‘AI for All’ project, we will strengthen our full-stack sovereign AI competitiveness and contribute to the growth of Korea’s AI ecosystem.”

Scaling Silicon Innovation With NVIDIA’s Open Infrastructure Platform
NVLink Fusion extends NVIDIA’s vertically integrated, horizontally open AI platform to custom XPUs. It enables chipmakers to combine specialized silicon with NVIDIA’s high-bandwidth, low-latency scale-up networking and established infrastructure ecosystem, helping improve performance, reduce deployment risk and accelerate time to market.

Rebellions is developing its next-generation R200 NPU, optimized for low-latency and energy-efficient inference using frontier models, including multitrillion-parameter mixture-of-experts models. Through NVLink Fusion, Rebellions will connect its R200 NPUs within a rack through NVIDIA NVLink™ scale-up networking.

The NVIDIA MGX rack architecture and reference designs will support development of the systems, while the MGX ecosystem gives Rebellions access to an established supply chain of original design manufacturers and component suppliers.

Connecting Infrastructure, Models and Services
SK Telecom brings experience building and operating AI data centers, alongside its proprietary foundation models and public-facing AI services. Building on its long-standing collaboration with NVIDIA in AI development and sovereign infrastructure, SK Telecom plans to connect these capabilities and deploy them in its AI data center using the standardized MGX rack architecture to deliver full-stack sovereign AI.

The MGX rack architecture provides a foundation for GPU and NPU systems to share data center design elements, including rack footprint, power delivery and cooling. This approach can support infrastructure planning alongside Rebellions’ processor and system development.

The companies plan to develop an approach to disaggregated inference, assigning different stages of AI response generation to the processor architecture best suited to each task. Their planned work includes using NVIDIA GPUs for prefill and Rebellions NPUs for decode to improve inference throughput and power efficiency.

SK Telecom plans to connect this infrastructure with its proprietary foundation models and public-facing services, including those under the government’s AI for All project, to advance its full-stack sovereign AI strategy.

Supporting Sovereign AI Infrastructure With NVLink Fusion
MSIT is supporting collaboration between NVIDIA and Korean NPU companies, beginning with Rebellions and SK Telecom, to strengthen Korea’s sovereign AI infrastructure.

“This collaboration with NVIDIA marks a significant step forward, as it enables Korean-developed NPUs to enter the computing infrastructure market alongside NVIDIA, a global leader in AI computing, through NVLink Fusion,” said Bae Kyung-hoon, Korea Deputy Prime Minister, and Minister of Science and Information and Communication Technologies. “The government will actively support this collaboration to deliver tangible results and further advance cooperation with NVIDIA across a range of areas, including physical AI and securing GPU supply.”

By connecting Korean-developed processors and models with NVIDIA infrastructure and SK Telecom’s data center expertise, the companies aim to establish a foundation for sovereign AI services across Korea’s public and private sectors.

Availability
Rebellions’ R200 systems are expected to be ready for deployment in 2028.

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A Message to Our Company

Sun, 08 Nov 2026 21:02:00 GMT

I owe my family and all of you an apology.

I was unfaithful to my wife. My actions hurt her and our children. There is no excuse for what I did. I am deeply sorry.

Throughout my life, my family has given me love and support. They deserve my honesty and loyalty. Instead, I let them down and damaged the life we built together. I take full responsibility for what I did and the hurt I caused, and I accept the criticism that comes with it.

To my wife and family: I love you. I know an apology cannot undo what I have done. I hope our family will heal and that, over time, I can earn back your trust.

To my colleagues at NVIDIA, including those I have worked alongside for decades, and to our board, partners, and shareholders around the world: you deserve better from me. Leading NVIDIA is the privilege of my life. My responsibility is to serve you and be worthy of your trust. I have fallen short of that responsibility. I am fully committed to NVIDIA and will work to earn back your confidence.

Regarding the national security concerns raised in news reports, NVIDIA’s Board of Directors has initiated an independent investigation. I support the investigation and will cooperate fully. I love our country and our company. I am committed to protecting NVIDIA and supporting America’s national security. I am proud and grateful to be an American.

My family bears no responsibility for my choices. I do. Please give them privacy.

Jensen

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Statement From NVIDIA Board of Directors

Sun, 08 Nov 2026 20:00:00 GMT

The NVIDIA Board is initiating an independent investigation in light of recent reporting that founder and CEO Jensen Huang has been the target of a foreign intelligence effort.

A committee of independent directors, assisted by outside independent counsel, will oversee the investigation.

The Board prioritizes U.S. national and economic security, which is paramount to the interests of NVIDIA and its shareholders.

While the Board has no reason to believe that either national security or NVIDIA secrets were compromised, the Board's inquiry will examine all available information.

Jensen fully supports the review and has committed to cooperating with it.

The Board has confidence in Jensen and his leadership team and will provide further updates as appropriate.

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How NVIDIA Open Source Tools Are Helping Researchers Build Next-Generation 6G Networks

Soma Velayutham — Fri, 06 Nov 2026 16:00:00 GMT

A year ago, NVIDIA open sourced its Aerial wireless software, joining Sionna and a broader suite of open source tools for accelerating next-generation 6G network development. Together, they give researchers a foundation for testing ideas, comparing results and building on each other’s work — connecting simulation and AI training with experiments on real over-the-air wireless […]

Vera Delivers the Best of Both Worlds: Highest Throughput and Fastest Agents

Hannah Coutand — Thu, 05 Nov 2026 20:00:41 GMT

AI agents do more than generate answers. They search for information, query databases, write and test code and take action. Each of those steps relies on a CPU, with agents moving between GPU reasoning and CPU execution throughout a task. As businesses put more agents to work, AI factories need CPUs that can execute those […]

The Wizard of Open Weights: Chris Alexiuk Makes AI Easy With Open Models

Matthew Leib — Thu, 05 Nov 2026 16:00:05 GMT

Chris Alexiuk has a simple rule about open source AI: If you believe in it, be loud about it. “We should be shouting about this technology from the rooftops,” said Alexiuk, a Toronto-based senior product research engineer in deep learning at NVIDIA who specializes in making open large language models (LLMs) practical for working developers. […]

More Performance From Every Byte: How Full-Stack Codesign Solves AI’s Memory Challenge

Amr Elmeleegy — Thu, 05 Nov 2026 16:00:00 GMT

Larger models, longer contexts and agentic applications are increasing GPU memory pressure while supply tightens and prices rise — a trend expected to continue through the near term. NVIDIA works closely with memory partners to rapidly adopt the latest memory technologies. NVIDIA was first to adopt HBM3e and HBM4 technologies into an accelerated computing stack. […]

‘Hogwarts Legacy’ Gets a Magical NVIDIA DLSS 5 Upgrade on GeForce NOW

GeForce NOW Community — Thu, 05 Nov 2026 14:00:34 GMT

Hogwarts Legacy receives an NVIDIA DLSS 5 upgrade with 3D-Guided Neural Rendering today, bringing lifelike lighting and materials to the wizarding world on GeForce NOW. Blizzard Entertainment’s World of Warcraft: Forever also opens a new chapter in Azeroth, with a launch-week access reward available for GeForce NOW members. Meanwhile, Ubisoft brings fresh challenges with expansions […]

AI Is Changing How Semiconductor Fabs Work — and Engineers Are Moving Faster Because of It

Timothy Costa — Tue, 03 Nov 2026 16:00:45 GMT

Demand for advanced chips is rising. The processes to build them are getting more complex. And the margin for error is shrinking. For engineers, understanding how a process change will behave, how a material will interact with a new step, how a defect maps back to a root cause are critical, challenging steps in semiconductor […]

Cities Worldwide Build and Scale AI Services With NVIDIA Physical and Agentic AI

Esther Lee — Tue, 03 Nov 2026 07:00:12 GMT

Cities generate enormous amounts of data from cameras, sensors and operational systems, but turning it into useful action — for planning, maintenance and public services — remains a challenge. Physical and agentic AI offer new ways to close that gap, from digital twins for infrastructure planning to vision and service agents, while keeping local governments […]

Things That Go Beep in the Night: Agentic AI Joins the Search for Extraterrestrial Signals

Chris Porter — Fri, 30 Oct 2026 15:00:10 GMT

While science fiction lore tells us that humans will meet extraterrestrial life in the form of little green men, the detail that should raise hairs this Halloween is this: the search for extraterrestrial intelligence took a major leap forward with AI, and it increasingly focuses on AI agents built by humans listening for AI agents […]

Slice Into GFN Thursday: ‘Phantom Blade Zero’ Launches on GeForce NOW

GeForce NOW Community — Thu, 29 Oct 2026 13:00:16 GMT

This Halloween week, GFN Thursday is delivering a fresh batch of gaming treats. Something wicked this blade comes. S-GAME’s Phantom Blade Zero launches on GeForce NOW today, bringing a scarily good blend of martial arts and punk fantasy to the cloud. There’s also something on the horizon for adventurers: World of Warcraft: Forever arrives Wednesday, […]

NVIDIA Sets Conference Call for Third-Quarter Financial Results

Wed, 28 Oct 2026 21:00:00 GMT

NVIDIA will host a conference call on Tuesday, November 17, at 2 p.m. PT (5 p.m. ET) to discuss its financial results for the third quarter of fiscal year 2027, which ended October 25, 2026.

The call will be webcast live (in listen-only mode) on investor.nvidia.com. The company’s prepared remarks will be followed by a Q&A session, which will be limited to questions from financial analysts and institutional investors.

Ahead of the call, NVIDIA will provide written commentary on its third-quarter results from Colette Kress, the company’s Executive Vice President and Chief Financial Officer. This material will be posted to investor.nvidia.com immediately after the company’s results are publicly announced at approximately 1:20 p.m. PT.

The webcast will be recorded and available for replay until the company’s conference call to discuss financial results for its fourth quarter and fiscal year 2027.

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NVIDIA RTX Spark Windows Laptops Gain New Models, Agent Tools and Games

Shreevar Rastogi — Wed, 28 Oct 2026 15:00:46 GMT

NVIDIA RTX Spark powers thin and light laptops built for everything that developers, creators and gamers do. RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI. These powerful systems combine an NVIDIA Blackwell RTX GPU and an NVIDIA Grace CPU in a single superchip with up to 128GB of unified […]

NVIDIA and Oracle Expand NVIDIA Vera Rubin to Multi-Gigawatt Scale and Bring NVIDIA Vera CPU to Oracle Cloud Infrastructure

Tue, 27 Oct 2026 16:00:00 GMT

NVIDIA and Oracle today announced plans to expand Oracle Cloud Infrastructure (OCI) Superclusters with NVIDIA Vera Rubin NVL72 systems to multi-gigawatt scale, supporting growing customer demand for AI training, inference and agentic applications. Oracle and NVIDIA also expanded their AI infrastructure collaboration with the general availability of NVIDIA Vera Rubin NVL72 and NVIDIA Vera CPUs on OCI.

The expanded collaboration gives customers infrastructure for both the GPU-intensive work of training and serving frontier models and the CPU-intensive tasks agents perform between model calls, including executing tools, testing code and retrieving data. Customers can scale CPU and GPU resources independently to match their workloads, helping reduce idle capacity and put more of their infrastructure to productive use.

OCI Superclusters Help Organizations Bring Frontier AI to Market Faster at Multi-Gigawatt Scale
OCI Superclusters combine NVIDIA NVL72 rack-scale systems, Oracle Acceleron networking with NVIDIA Spectrum-X™ Ethernet networking featuring NVIDIA Spectrum™-6 switches and NVIDIA BlueField®-4 DPUs, and gigawatt-class power and cooling to train and serve the largest AI models. Each rack connects 72 GPUs through NVIDIA NVLink™ scale-up networking, while OCI’s resilient, multiplanar network scales across hundreds of thousands of GPUs.

The planned Vera Rubin expansion builds on OCI’s existing NVIDIA-powered infrastructure, including NVIDIA GB200 and GB300 NVL72 systems. NVIDIA’s common CUDA® software foundation and continued software optimization help customers support evolving models and workloads across hardware generations.

OCI also plans to introduce NVIDIA HGX Rubin NVL8, delivering eight Rubin GPUs connected through NVLink in an x86-based server configuration.

The planned platform features two 64-core Intel Xeon 6 CPUs, 4TB of DDR5 memory and 6.4 Tbps of high-speed RDMA networking, providing a flexible deployment option for AI training, fine-tuning and inference. HGX Rubin NVL8 enables customers to adopt next-generation Rubin GPU technology in a smaller eight-GPU configuration while maintaining compatibility with x86-based applications.

This flexibility enables customers to adapt their AI infrastructure to different models and workloads as their needs evolve, using accelerated computing capacity across both training and inference to make better use of their infrastructure investments.

OpenAI has demonstrated how this infrastructure supports frontier AI. In Abilene, OpenAI has trained and served GPT-6 Astra on an OCI Supercluster with more than 100,000 NVIDIA Blackwell GPUs.

“As our frontier models advance, we need infrastructure that can keep pace,” said Sreekanth Pothanis, engineering leader, compute infra at OpenAI. “NVIDIA Vera Rubin on OCI gives us the computing performance and scale to accelerate model training and serve increasingly demanding AI workloads.”

NVIDIA Vera CPUs on OCI Accelerate the Work Behind AI Agents
AI agents do more than generate responses. They call tools, execute code and retrieve information to complete tasks. Slow execution of those CPU-intensive operations can delay results and leave GPUs waiting between model calls.

OCI Compute with NVIDIA Vera CPUs combines high single-thread performance with memory bandwidth to help agents complete CPU-intensive tasks faster. High single-thread performance accelerates individual tool calls and code execution, while high memory bandwidth keeps CPU cores supplied with data as agents run concurrent tasks. Together, these capabilities help reduce GPU idle time and maintain consistent performance as workloads scale. To further support these workloads, OCI Kubernetes Engine enables customers to scale CPU and GPU resources independently, while Oracle Acceleron provides hardware-based isolation for workloads running untrusted, AI-generated code.

Customers with early access to NVIDIA Vera CPUs on OCI, including OpenAI, are exploring their potential across a range of AI workloads.

“NVIDIA Vera CPUs on OCI deliver the world-class loaded performance needed to execute code and run tools across our rapidly growing agentic sandbox workloads,” said Uday Ruddarraju, chief technology officer of compute at OpenAI. “We are bringing Vera into production on OCI to support these workloads at scale.”

“Oracle Cloud Infrastructure gives customers the performance, security and scale to advance frontier AI,” said Mahesh Thiagarajan, president of Oracle Cloud Infrastructure at Oracle. “Our collaboration with NVIDIA extends those capabilities across training, inference and agentic AI. By combining NVIDIA Vera Rubin GPUs and Vera CPUs with Oracle Acceleron networking and AI-optimized data centers, we’re helping customers keep GPUs productive, secure and scale efficiently as their needs grow.”

“AI factories must be productive, durable and fungible — delivering efficient computing, remaining useful through continued software advances and serving different models and workloads as demand changes,” said Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA. “With Oracle, we’re bringing Vera Rubin and Vera CPUs to OCI to help customers put more of their infrastructure to work today and sustain its value as AI evolves.”

Learn more about Oracle Acceleron, Oracle Cloud Infrastructure Supercluster, Oracle and NVIDIA’s multigenerational partnership, and OCI Compute with NVIDIA Vera CPUs.

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How AI Is Changing the Pace of Discovery for Millions Living With Dementia

Anthony Costa — Tue, 27 Oct 2026 15:00:20 GMT

There are 57 million people worldwide living with dementia today. For the researchers working to help them, the obstacle isn’t a lack of effort — it’s too much data, too few experts to synthesize it and a pace of discovery that can’t keep up with the disease. The Consortium for Biomedical Research and AI in […]