News Releases - NVIDIA Newsroom

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 […]

NVIDIA and Meta to Expand Collaboration on Muse and Muse Family of Models Amid Robust Growth

Tue, 27 Oct 2026 05:52:00 GMT

News Summary:

NVIDIA and Meta will expand their partnership on Muse and the Muse family of models, reflecting popular demand for AI agents.
The companies are also considering other technological collaborations, including NVIDIA OpenShell Reference Architecture to strengthen agency security and NVIDIA Sentry for monitoring, structured, unstructured and graph data processing.
Meta to expand NVIDIA Vera Rubin and Vera CPU deployment to boost performance and scale workloads with NVIDIA Spectrum-X Ethernet networking and BlueField-4.

NVIDIA and Meta today announced they will partner to expand their work on Muse and the Muse family of models to improve inference and training performance, reflecting popular demand for useful AI agents.

Meta’s Muse models and agents, which leverage NVIDIA’s infrastructure, have delivered frontier-level benchmark performance and surging consumer downloads since launch. Meta and NVIDIA intend to further deepen their collaboration by partnering on optimizations across workflows to maximize performance and improve total cost of ownership. Meta and NVIDIA will also consider additional collaboration opportunities with NVIDIA on its NVIDIA OpenShell Reference Architecture, including NVIDIA OpenShell™ for safe deployment and NVIDIA Sentry for monitoring agent behavior.

This announcement reinforces Meta and NVIDIA’s strong long-term partnership to support Meta’s AI infrastructure ambitions. Meta intends to expand the deployment of NVIDIA infrastructure, including Vera Rubin and Vera CPUs for next-generation AI agents to deliver maximum performance per watt. Meta will also deploy NVIDIA Spectrum-X™ Ethernet networking and BlueField-4^® to support network efficiency and throughput.

In addition, NVIDIA will invest $3 billion in Meta’s equity offering.

“AI agents represent a new computing paradigm — software that understands our goals, reasons, uses tools and gets work done on our behalf,” said Jensen Huang, founder and CEO of NVIDIA. “This changes how we use computers, from operating applications to working with intelligent agents. NVIDIA and Meta are expanding our partnership to optimize the computing infrastructure end to end for capable, efficient and secure AI agents, so Muse can empower billions of people to achieve more and pursue greater ambitions.”

“Muse is how we bring personal superintelligence to everyone. We’re excited to keep working with NVIDIA to deliver the best personal agents and frontier models for billions of people,” said Mark Zuckerberg, founder and CEO of Meta.

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Kazakhstan Expands Compute for Its AI Future

Rev Lebaredian — Fri, 23 Oct 2026 02:00:13 GMT

Kazakhstan’s AI ecosystem is moving from infrastructure plans to deployment. The shift is visible across the full AI stack — from infrastructure to models to applications. Together, the ecosystem announcements below point to the nation’s increasing supply of accelerated computing — along with its growing demand for what comes next. Read All NVIDIA in Europe […]

NVIDIA Unveils Minerva to Bring End-to-End Observability for AI Factories

Brian Sparks — Thu, 22 Oct 2026 15:00:02 GMT

Launched today, NVIDIA Minerva is an AIOps platform built to help teams find problems earlier and keep AI factories productive. It brings together telemetry from infrastructure and AI workloads, then applies purpose-built AI models to turn that data into timely, actionable insight. AI factories are among the most complex operations in the world, with vast […]

Cloud Deployment Incoming: ‘Call of Duty: Modern Warfare 4’ Arrives on GeForce NOW

GeForce NOW Community — Thu, 22 Oct 2026 13:00:20 GMT

Lock in and load out this GFN Thursday. Call of Duty: Modern Warfare 4 arrives on GeForce NOW at launch, bringing a new campaign, multiplayer action and DMZ, high-stakes extraction mode to supported devices. The campaign also gets an enhanced look: GeForce RTX 5080-class performance arrives for Ultimate members, bringing support for ray-tracing features in […]

Leading European Financial Services Organizations Embrace Open Models to Build Proprietary Intelligence

Jason Renders — Thu, 22 Oct 2026 05:00:56 GMT

At GTC Berlin, banks, payment companies and financial data providers are showing what production-scale intelligence looks like — built on NVIDIA accelerated computing, powered by open weight models and running on their own infrastructure. Revolut is rebuilding its technology stack on a single foundation model PRAGMA, powered by NVIDIA accelerated computing. Using the NVIDIA cuDF […]

NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models

Pranjali Joshi — Thu, 22 Oct 2026 05:00:27 GMT

To help developers rapidly build world models, which help physical AI systems understand and simulate the real world, NVIDIA has expanded the Cosmos platform with new training tools, simulation checkpoints and Cosmos Data Factory blueprints. Ranking top five on six different open models leaderboards, the NVIDIA Cosmos platform gives world model builders the frontier open […]

How Companies Are Using NVIDIA DSX to Break the Power Bottleneck

Vladimir Troy — Thu, 22 Oct 2026 05:00:25 GMT

Companies around the world are building on the NVIDIA DSX AI Factory Platform to plan, simulate and run the grid and the AI factory as one system, from the substation to the rack. Their adoption of the platform responds to an acute problem. Power is now the biggest bottleneck in infrastructure. More than $300 billion […]

NVIDIA Transforms European Retail, From Digital Discovery to Physical Operations

Mavi Nafria — Thu, 22 Oct 2026 05:00:23 GMT

European retailers are using open models and physical intelligence across use cases — from a commerce platform cutting inference costs by 90% to to a fulfillment center where collaboration of different robotic fleets is simulated inside a digital twin. Frontier Results With Open Models Retail leaders and technology companies across Europe are using NVIDIA-accelerated open […]

Pioneers Across Europe Deploy NVIDIA Earth-2 Open Models to Power Real-World Weather and Climate Prediction

Mike Pritchard — Thu, 22 Oct 2026 05:00:19 GMT

Weather forecasts shape more than daily plans; timely weather information is crucial for energy producers, insurers and transport operators to plan around changing conditions. A global forecast can show a storm taking shape, but decisions about solar farms, shipping routes or insured property depend on what happens locally. NVIDIA Earth-2 gives developers and researchers a […]

NVIDIA Open Models Power a New Wave of European Public Sector Projects

Eva-Maria Hempe — Thu, 22 Oct 2026 05:00:02 GMT

Governments need modern solutions to serve the public while keeping sensitive information under their control. Open models provide a path forward, letting governments evaluate them, adapt them to local languages and public services, run them on infrastructure they control, apply their own safeguards and keep sensitive data within controlled environments. Some open models go further, […]

Bringing the Spark to Europe: Local Intelligence Powers Next Wave of Agents

Gerardo Delgado — Wed, 21 Oct 2026 10:50:37 GMT

At GTC Berlin, NVIDIA is showcasing its full lineup of local AI hardware. RTX Spark, which launched last week, powers personal agents on Windows PCs; DGX Spark supports developers building and scaling applications on Linux; and DGX Station serves enterprise teams running frontier workloads on Linux, with a Windows version arriving in December. Announcements include: […]

Google Cloud and NVIDIA Announce General Availability of NVIDIA Vera Rubin Infrastructure

Uttara Kumar — Wed, 21 Oct 2026 10:45:17 GMT

General availability of the instances is coming next month, with planned expansion of availability to Europe — bringing an integrated platform for training, inference and large-scale reinforcement learning to cloud customers. A5X instances bring together NVIDIA Vera Rubin NVL72, NVIDIA ConnectX-9 SuperNICs, Google Cloud Virgo Network and Google Cloud’s fourth-generation advanced liquid-cooling technology for demanding […]