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BlogNVIDIA

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

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 built by aliens. Some scientists have suggested that extraterrestrial civilizations, if they exist, could be billions of years older than humanity. Such civilizations might have developed technologies far beyond humanity’s, including forms of AI. Breakthrough Listen and the SETI Institute are bringing agentic AI into the daily search for extraterrestrial intelligence. At the Allen Telescope Array in Northern California, agents can now steer the instrument, enhance and correct incoming data, and apply AI models to the incoming stream — all from a single natural language request. The NVIDIA Holoscan platform processes the massive streams of sensor data, giving agents live data to act on. The result is a faster, more adaptable search for potential signals from extraterrestrial life and technologies.

30 Oct blogs.nvidia.com

BlogNVIDIA

Thin, Light and Built for Everything: NVIDIA RTX Spark Windows Laptops Gain New Models, Agent Tools and Games

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 memory and up to 1 petaflop of FP4 AI performance. That puts the NVIDIA CUDA platform, RTX graphics and the capabilities of a personal AI supercomputer inside premium Windows laptops built to go anywhere. New and expected RTX Spark updates, coming soon, include: NVIDIA Nemotron 3.5 Transcribe, an open weight speech model for transcription, speaker attribution and translation is available on RTX Spark. The LFM3 family of open models with day-zero support. Resource management controls in NVIDIA App to allocate GPU resources between foreground apps and background agents. Phantom Blade Zero, S-GAME’s highly-anticipated action role-playing game, launches with ray tracing and NVIDIA DLSS 4.5. Experience Minecraft with path tracing and DLSS with RTX Remix1.6, available now for RTX Spark.

28 Oct blogs.nvidia.com

BlogNVIDIA

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

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 Neurodegeneration (C-BRAIN), working with NVIDIA, is using AI to change that. Alzheimer’s disease is one of today’s leading global health challenges, with over 10 million new dementia cases diagnosed each year. Despite a 7x increase in National Institutes of Health funding in the last 15 years — reaching $3.9 billion annually — no treatment has been found to stop, prevent or reverse the disease yet. The bottlenecks are not enough high impact scientific findings, too much data living in institutional silos and too slow a pace of synthesis to keep up with the research that is published. C-BRAIN, led by Dr. Randall Bateman and a consortium of 18 member institutions across academic, philanthropic, pharma and research organizations, launched in November 2025 to help scientists make better, faster discoveries by accelerating the research that makes new treatments possible.

27 Oct blogs.nvidia.com

BlogNVIDIA

Kazakhstan Expands Compute for Its AI Future

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 Announcements The Infrastructure Layer Is Scaling Kazakhtelecom, the nation’s largest telecommunications company, has already deployed 400 NVIDIA H200 and 480 NVIDIA B300 GPUs in Astana and Almaty. Next year, the company plans to deploy more than 1,000 GPUs in the Data Center Valley, along with more than 1,000 NVIDIA Vera Rubin GPUs in the Ekibastuz region, serving diverse workloads with infrastructure that enterprises, developers and institutions can use at scale. AI-Native Companies Scale With Compute The nation’s AI-native companies are also building out their compute capacity — and the applications that run atop them. inDrive and Pony.ai are also collaborating to explore robotaxi services in Kazakhstan, with Astana as the first deployment city.

23 Oct blogs.nvidia.com

BlogNVIDIA

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

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 numbers of GPUs working across high-speed networks to train models and serve AI applications. At that scale, a single degraded component can slow an entire job. The warning signs may be easy to miss, such as a GPU running hotter than its peers or an NVMe drive losing performance under load. The platform focuses on AI factory yield, a measure of the useful work infrastructure produces through GPU hours, goodput, cluster uptime and token production. Read All NVIDIA in Europe Announcements Delivering a Dynamic View of an AI Factory Traditional monitoring tools often divide the data center into separate views. Networking, compute, site reliability and machine learning teams each see a different part of the operation. Minerva connects those signals across NVIDIA GPUs, networking, storage, schedulers and workloads.

22 Oct blogs.nvidia.com

BlogNVIDIA

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

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 toolkit and Dynamo-Triton software on NVIDIA Blackwell Ultra GPUs, Revolut is scaling PRAGMA in production, servicing an initial 80 million customers and engineered to scale 3x. “Revolut processes billions of transactions — the opportunity was always there, but the question was whether foundation models could operate at that scale and across domains. PRAGMA answers that,” said Pavel Nesterov, head of AI at Revolut. “Built in collaboration with NVIDIA, it’s the clearest proof yet that the gap between a research breakthrough and a production banking system can be closed.” Read All NVIDIA in Europe Announcements Training on Accelerated Infrastructure Starling Bank, the first bank to train an agentic model on U.K.

22 Oct blogs.nvidia.com

BlogNVIDIA

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

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 models — as well as data, training and optimization tools and recipes — to scale training data, adapt models, test behavior and optimize for performance before deployment. Build Better Training Data Building world models begins with multimodal, multisensory data. NVIDIA Cosmos Data Factory brings together the tools and skills for labeling, curating, augmenting and evaluating data at scale for training physical AI. Cosmos Curator, a GPU-accelerated solution for curating video training datasets, has now added support for multimodal multisensory inputs and processing blocks.

22 Oct blogs.nvidia.com

BlogNVIDIA

How Companies Are Using NVIDIA DSX to Break the Power Bottleneck

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 in equipment is backlogged, and over 200 gigawatts of projects are waiting in U.S. interconnection queues. One root cause of the bottleneck is siloed systems. The grid, the facility and the compute inside have long been designed independently from one another, creating the conditions for delays, risk and stranded capacity. Read All NVIDIA in Europe Announcements To help address this, NVIDIA DSX brings these systems together: NVIDIA DSX Sim and SimReady assets from leading energy manufacturers let engineers simulate the grid, substation and AI factory together, validating generators, switchgear, power systems and cooling before breaking ground. NVIDIA DSX Flex syncs AI factory demand with grid conditions and onsite generation, turning AI factories from static loads into flexible grid assets.

22 Oct blogs.nvidia.com

BlogNVIDIA

NVIDIA Transforms European Retail, From Digital Discovery to Physical Operations

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 and frontier models to advance agentic commerce, digital product discovery and retail R&D. Shopify post-trains open models to reach frontier-level accuracy at a fraction of the cost. Its engineers use the NVIDIA Megatron Bridge library for faster fine-tuning and NVIDIA NeMo RL for reinforcement learning. Shopify has post-trained NVIDIA Nemotron 3.5 Lightning for the GraphQL subagent integrated into Sidekick, Shopify’s AI assistant for merchants. The subagent retrieves store data for several Sidekick features, including Sidekick Pulse, which researches a merchant’s store and recommends ways to improve it.

22 Oct blogs.nvidia.com

BlogNVIDIA

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

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 family of open AI models and tools they can customize with their own data. Running on NVIDIA computing, these technologies support global weather prediction, detailed regional forecasts and environmental research. Read All NVIDIA in Europe Announcements StormScope EU is the latest model to join Earth-2 — a regional version of the StormScope model for short-term forecasting, trained over Europe weather and climate data. It uses EUMETSAT satellite observations to predict evolving cloud conditions across 16 Meteosat channels at 10-minute intervals. At GTC Berlin, NVIDIA is showcasing a live StormScope EU pipeline in an interactive weather demo built in partnership with Earthmover.

22 Oct blogs.nvidia.com

BlogNVIDIA

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

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, with the datasets they were trained on published so governments can verify if training data was licensed, biased or compliant. NVIDIA partners and European governments are teaming to bring advanced models to boost the efficiency of public administration while retaining control of data and infrastructure. Several are also building editions of the NVIDIA Nemotron-Personas collection, the partner-grounded datasets behind NeMo User Sim, NVIDIA’s open source library for population-scale user simulation that dynamically evaluates and trains models and agents in local languages.

22 Oct blogs.nvidia.com

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

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: Underdog Desktop Agent now available for RTX Spark DGX Spark 64GB available on Friday, Oct.

21 Oct blogs.nvidia.com

BlogNVIDIA

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

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 agentic inference and reinforcement learning workloads at scale. Google Cloud plans to scale its Vera Rubin-based infrastructure to as many as 960,000 Rubin GPUs across multiple sites. Ineffable Intelligence, a London-based technology company founded by AlphaGo creator David Silver, was the first customer to access A5X. Ineffable is using the platform to advance large-scale reinforcement learning and shape “superlearner” systems that learn continuously from experience. Read All NVIDIA in Europe Announcements Learning through interaction requires a continuous cycle of generating experience, evaluating outcomes and updating models, requiring infrastructure that can support the entire process at scale.

21 Oct blogs.nvidia.com

BlogNVIDIA

NVIDIA Cloud Partners Scale Across Europe — Sovereign, Open and Built for Safe AI Agents

Demand from AI-natives is pulling the European AI cloud ecosystem forward faster than ever. Developers need compute closer to their data, open models they can customize and serve at scale, and full-stack infrastructure that is secure by design. NVIDIA Cloud Partners across Europe, the Nordics, Africa, and Central Asia are expanding regional compute capacity for model training and inference, helping developers build agentic and physical AI applications, and establishing boundaries around what agents can access and do. Together, they’re turning Europe’s energy, data, research and industrial expertise into productive intelligence — supporting new models, applications, organizations and jobs while giving people more control over where and how they develop and deploy AI. Read All NVIDIA in Europe Announcements Sovereign: AI Clouds Building European AI Infrastructure Europe is home to world-class research, engineering talent, industrial expertise, data, the next generation of models and applications that requires large-scale computing close to where that knowledge resides.

21 Oct blogs.nvidia.com

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Europe’s Industrial Leaders Reinvent Engineering and Manufacturing With NVIDIA

To increase productivity, accelerate innovation and create new opportunities for economic growth, Europe’s industrial leaders are tapping NVIDIA CUDA-X and Omniverse libraries, as well as NVIDIA Cosmos and Nemotron open models, across the engineering and manufacturing lifecycle. Bringing those capabilities together on the factory floor, the NVIDIA Factory Operations Blueprint (FOX) is now available in early access on GitHub, providing a path for developers to build and deploy always-on factory manager agents that coordinate work across machines, and specialist agents focused on use cases such as visual inspection, root cause analysis, report generation and fleet management. These agents can connect to frontier models, including NVIDIA Cosmos and Nemotron, and foundational knowledge including computer-aided design, product lifecycle management, simulation software, and IT and operational technology systems. Building on the FOX blueprint enables the ecosystem to build industrial agents that monitor factory operations in real time, correlate visual findings and machine logs to investigate problems, and coordinate responses.

21 Oct blogs.nvidia.com

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NVIDIA Confidential Computing Expands, Enabling Frontier Model Builders to Securely Scale Across Global Infrastructure

NVIDIA builds tools to enable safe agents across the stack. The NVIDIA OpenShell Reference Architecture, announced today, is part of NVIDIA’s growing portfolio of technologies that enables organizations to safely deploy agents at scale. NVIDIA Confidential Computing is the infrastructure layer that protects the models and data those agents depend on while running. Today, NVIDIA is expanding that layer with Confidential Bare Metal, a new deployment option with NVIDIA Confidential Computing that enables frontier model builders to run sensitive workloads on dedicated third-party infrastructure while retaining control of their models and data. NVIDIA is introducing new platform security controls that protect data in transit, measure platform integrity and enforce hardware-level access restrictions. These new controls let frontier model builders use bare-metal instances to own and operate their bespoke software stack, including host and platform infrastructure software, when operating on NVIDIA accelerated computing infrastructure across third-party cloud, neocloud and enterprise infrastructure.

21 Oct blogs.nvidia.com

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NVIDIA Agent Toolkit Expands, Grounding Enterprise Agents in Company Data

Agents are only as useful as what they know, and only as trustworthy as the boundaries they run within. Leading enterprises are using the open source NVIDIA Agent Toolkit — now expanded with new tools — to customize and control agents, use company data to inform their answers and actions, monitor what they do and govern how they operate. NVIDIA Agent Toolkit comprises: The new NVIDIA Agent Knowledge Foundation with NVIDIA CUDA-X libraries NVIDIA open models including Nemotron Retriever and the new Kumo family NVIDIA OpenShell secure agent runtime NVIDIA NemoClaw secure agent blueprints Tools and skills, like NeMo Relay and NeMo Compass Read All NVIDIA in Europe Announcements To develop agents that accomplish real work and are trustworthy from development to deployment, builders need an open agent stack that brings together the models, harness, runtime, data and tools. NVIDIA Agent Knowledge Foundation helps enterprises turn data into company intelligence agents can use. Agents can find relevant information, understand what it means for the business and use it to make predictions and help people decide what to do next.

21 Oct blogs.nvidia.com

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NVIDIA Open Models Advance Europe’s Sovereign Intelligence Across Industries

NVIDIA is expanding its family of open models across language, robotics, biology, and quantum computing, giving developers, researchers and enterprises what they need to build applications tailored to local languages and industries The portfolio includes the new NVIDIA Nemotron 3.5 Super VL and Nemotron 3.5 Bolt models; new NVIDIA Nemotron Retriever models for embedding, reranking and document parsing; the new NVIDIA Kumo family open weight foundation models and libraries for structured business data; NVIDIA Cosmos 3.5 world models; NVIDIA Alpamayo 2 Edge for autonomous vehicles; NVIDIA BioNeMo for healthcare and scientific discovery; and NVIDIA Ising for quantum computing. The open models give organizations a foundation they can customize with local data and deploy on infrastructure they control. Read All NVIDIA in Europe Announcements NVIDIA Nemotron Powers Post-Training Across Industries NVIDIA Nemotron brings open language models, datasets and recipes to developers building agents. The models support text and images, helping agents orchestrate workflows, reason through complex problems and complete specialized tasks at a lower cost.

21 Oct blogs.nvidia.com

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GTC Berlin 2026: Live Updates From NVIDIA CEO Jensen Huang’s Keynote

Founded in a tent near the Berlin Wall in 1980, the Tempodrom moved several times before settling near Anhalter Bahnhof in 2001. Its permanent home has since hosted concerts, galas and political events. Today, it hosts a different kind of spectacle. GTC Berlin runs three days, with more than 100 sessions on agentic AI, robotics, physical AI, open models and accelerated computing underway at STATION-Berlin down the road. Here, journalists, analysts and partners have gathered for the main event: NVIDIA founder and CEO Jensen Huang’s keynote. Huang Takes the Stage Huang opened with a question: What do L’Oréal, Revolut, Spotify, Merck, Vodafone, Zara, Porsche, Nestlé and HSBC have in common? They’re all European companies and they’re all working with NVIDIA on AI, he said. The keynote comes on the heels of NVIDIA’s weeklong road across Europe — Paris, London, Stockholm, Dublin — with the company committing nearly $10 billion to the technology ecosystem across Europe and working with 12,000+ partners. “After decades of advancement in the computer industry, we are now at the beginnings of a new industrial revolution,” Huang said. AI is a five-layer cake, Huang explained.

21 Oct blogs.nvidia.com

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European Leaders Turn to NVIDIA Vera CPUs to Build Local Infrastructure

Nebius and Nscale are among global technology partners looking to NVIDIA Vera CPUs to build the next wave of infrastructure. Their momentum reflects rapid advancements in agentic computing. Agents do more than generate answers: they retrieve information, run software tools, execute code and evaluate results. Each step depends on fast CPU processing. Vera accelerates that work, helping agents respond faster and enabling data centers to make better use of computing capacity. Vera is designed to sustain that speed even when running thousands of tasks simultaneously, helping organizations expand services without trading responsiveness for scale. Read All NVIDIA in Europe Announcements Building Europe’s Computing Capacity AI cloud providers Nebius, Nscale and Verda are building with Vera to support the growing computing needs of businesses and developers. High-performance, energy-efficient CPUs help these providers scale the data processing and software execution behind services, alongside the GPUs running models.

20 Oct blogs.nvidia.com

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Spain-Based Startups Advance Regional Innovation With Barcelona Supercomputing Center

The Barcelona Supercomputing Center (BSC)’s AI Factory Accelerator Programme, now in full operation following a pilot initiative, gives startups access to sovereign compute, technical support and training to support innovation across industries. Many of these companies are also members of the NVIDIA Inception program for cutting-edge startups — and as of today, access to some of the BSC AI Factory services are available through the NVIDIA Inception portal. NVIDIA Inception complements the BSC AI Factory Accelerator Programme by providing members with training through NVIDIA Deep Learning Institute open courses, business mentoring, venture capital connections and other resources. An upcoming extension of MareNostrum 5 — BSC’s public infrastructure serving scientific and technological innovation, powered by NVIDIA accelerated computing — will deliver supercomputing access through the BSC AI Factory and other AI Factories across Europe. BSC AI Factory is among Europe’s first AI factories and the first in Spain, and has delivered more than 800 services to private and public-sector clients since its April 2025 launch.

20 Oct blogs.nvidia.com

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Germany Wants to Lead the World in Industrial AI: How NVIDIA Will Help

In the cavernous hall of Kraftwerk, a former power station in Berlin, German Chancellor Friedrich Merz and NVIDIA founder and CEO Jensen Huang sat down to discuss Germany’s AI roadmap, and in particular, the industrial applications of AI. Huang opened by tracing NVIDIA’s longstanding relationship with German industry, beginning with gaming systems, workstations and automotive design in the early 2000s and leading to today’s partnerships in autonomous vehicle development and digital twins for manufacturing. The conversation focused on how Germany can make the most of the AI revolution by playing to its strengths in manufacturing and automotive — and by encouraging AI adoption across the country’s ecosystem of small and medium-sized companies. Read All NVIDIA in Europe Announcements Earlier in the day, as part of the Invest in Germany Summit, Chancellor Merz, the Federal Ministry for Economic Affairs and Energy and the Federal Ministry for Research, Technology and Space signed a Joint Declaration of Intent with NVIDIA. The German federal government’s aim is to merge traditional German engineering and manufacturing expertise with cutting-edge research and AI technology.

19 Oct blogs.nvidia.com

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NVIDIA Advances Agentic Security for Media, From European Public Service Broadcasting to Global Content Production

At a creative industry event that took place today in Berlin — hosted in collaboration with Adobe, Bertelsmann, NVIDIA and UFA — the latest advancements in intelligent media were on display. Key to the news: the European Broadcasting Union (EBU) is collaborating with NVIDIA to expand its sovereign framework with cloud, open models and integration partners, while Adobe Frame.io is accelerating video agent search capabilities with NVIDIA GPUs, helping German TV and film producer UFA find the right moments faster. Read more about both announcements below. Sovereign Clouds and Open Models Built for European Broadcasters The EBU and NVIDIA are expanding the sovereign standards they introduced last year for European public service media. The initiative now brings in sovereign cloud providers, open model developers and systems integrators to define how broadcasters can deploy agents while keeping control of their data, infrastructure, models and security. Read All NVIDIA in Europe Announcements The EBU is the world’s leading alliance of public service media, with over 115 member organizations in more than 55 countries reaching over 1 billion people.

19 Oct blogs.nvidia.com

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RTX Spark Ignites Global Celebration as New Windows PCs Arrive

NVIDIA RTX Spark laptops are now available, bringing NVIDIA Blackwell RTX graphics, up to 128GB of unified memory and the full NVIDIA AI platform to slim, premium Windows PCs. Starting at $2,399, laptops from ASUS, Dell, HP, Lenovo, Microsoft and MSI bring powerful local AI, content creation and gaming capabilities to a portable device, with additional systems on the way. NVIDIA celebrated the launch with events around the world, including one in Berlin, where NVIDIA founder and CEO Jensen Huang made a surprise appearance. A New Generation of Windows PCs Has Arrived RTX Spark brings decades of NVIDIA accelerated computing innovation into a single superchip, combining an NVIDIA Blackwell RTX GPU and NVIDIA Grace CPU with up to 1 petaflop of AI compute and up to 128GB of unified memory. Read more in the press release. RTX Spark Launch Celebrations Light Up Berlin The arrival of RTX Spark brought fans, creators and PC enthusiasts together in Berlin during the Festival of Lights, an annual autumn art festival that transforms the German capital’s most famous landmarks, streets and squares into glowing canvases.

17 Oct blogs.nvidia.com

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Be There for the Beginning: Celebrate the Launch of NVIDIA RTX Spark

A new beginning for Windows PCs starts tomorrow with the launch of NVIDIA RTX Spark — one PC built for creators, gamers and AI agents. All are invited to celebrate with NVIDIA and partners at launch events around the world. Share Your Spark Every PC has a story. What was your first Windows PC, and what did it spark a love for? Join the celebration online by sharing responses with #ShareYourSpark for a chance to win an ASUS ProArt P14 RTX Spark laptop signed by NVIDIA founder and CEO Jensen Huang. See the campaign and official rules. See What Reviewers Are Saying From local AI workflows to creative apps and gaming, see what reviewers are saying about RTX Spark — then experience it at a launch celebration.

15 Oct blogs.nvidia.com

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Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models

NVIDIA today released Nemotron 3.5 Super VL, an open 120-billion-parameter model that delivers the fastest task completion and highest accuracy for specialized always-on agents. Joining it are two new edge models: Nemotron 3.5 Bolt 74B-A9B 24GB, optimized to balance intelligence and speed per GB for local agentic workloads, and Nemotron 3.5 Bolt E4B 4GB, optimized for intelligence per GB for fast conversational agents. Super VL and Bolt 74B-A9B are available now, with Bolt E4B coming Oct. 23. The three open models together cover the full range of agent deployments, from large enterprise servers down to edge devices and local hardware. Any organization that wants to run agents on NVIDIA infrastructure now has an open, optimized model for their tier, without having to choose between capability and deployability. Super VL and Bolt join the Nemotron family alongside Lightning and Ultra. Lightning, released in August, handles high-throughput workloads; Ultra handles the hardest reasoning tasks; and Bolt brings intelligence to the edge.

15 Oct blogs.nvidia.com

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NVIDIA Expands Advanced Technology Access for Europe’s Scientific Community Through Open Learning Resources, Collaborations and Compute

Much of today’s scientific progress begins with computation. But turning accelerated computing’s potential into scientific progress — modeling climate systems, designing molecules, simulating materials and more — depends on more than breakthrough technology. Especially for smaller labs, early-career scientists or science-based startups, the hardest part of research can be everything that comes before the science: assembling tools, finding compute and building the expertise to use both. At the AI in Science Summit in Dublin today, the European Commission launched the AI in Science Enablers Initiative, a shared framework connected to RAISE — the Resource for AI Science in Europe — that brings private-sector support closer to Europe’s research community.

15 Oct blogs.nvidia.com

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The Nordics and NVIDIA Show What’s Possible When a Region Commits to Advanced Computing

The Nordic countries have become the European leader in unicorn startup density, producing the most emerging companies valued at $1 billion or more per capita on the continent. Now, a new chapter for the region is unfolding as countries race to build one of Europe’s most consequential technology ecosystems. The many computing advancements already underway in the Nordics, combined with the opportunity that lies ahead, signal a region moving from ambition to application. Nordics Emerge as Infrastructure Hub The foundation for establishing the Nordics as a technology powerhouse is already being built and the region holds a structural advantage: abundant renewable energy, rigorous data governance and a research tradition that bridges academia and industry. Read All NVIDIA in Europe Announcements The Nordics are one of Europe’s fastest growing hubs for infrastructure. AI clouds are expanding with a projected 1 gigawatts of capacity to be deployed across the region by the end of 2027. Among these cloud providers are Bitdeer, CoreWeave, Crusoe, Hyperstack, Nscale, Verda and Volta.

15 Oct blogs.nvidia.com

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From Enterprise to Earthshot: UK’s Ecosystem Moves From Ambition to Application With NVIDIA

Across industries, the U.K. is putting the full stack to work — and the scale of deployment is growing fast, from enterprises transforming their businesses to startups solving some of the planet’s hardest problems. NVIDIA is putting that principle into practice, including through a five-year, $250 million compute commitment to strengthen the U.K.’s agentic safety and security research, providing $50 million in accelerated computing access annually through BOLD at the University of Oxford, SOFAIR at UCL and Imperial College London. In addition, NVIDIA is partnering with the Earthshot Prize, joining as a Global Alliance Founding Partner to bring compute and technical expertise to innovators working on solutions for the world’s greatest climate and sustainability challenges. Read All NVIDIA in Europe Announcements Technology Leaders Pioneer Intelligent Solutions Across the UK In energy, Fuse Energy is moving its customer AI onto its own in-house infrastructure, built on NVIDIA B300 Blackwell Ultra, delivering faster, more responsive support to over 450,000 U.K. households.

14 Oct blogs.nvidia.com

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European Cities Deploy NVIDIA-Powered AI Agents to Run Smarter Urban Operations

Keeping a city running means making decisions that affect residents every day — from when to repair a road to how to use energy more efficiently. Across the EMEA region, cities and local software, infrastructure and integration partners are using NVIDIA accelerated computing to build physical AI agents and digital twins that help teams make those decisions. These applications can anticipate maintenance needs, guide urban planning and make public services more responsive. Software partners including ABA Technology, Akila, Galene AI, Honeywell Technologies, K2K, Linker Vision, Milestone, Onetera, ThinkDeep and Younite are using NVIDIA physical and agentic AI to develop solutions for city operations and public services. https://blogs.nvidia.com/wp-content/uploads/2026/10/linker-vision.mp4 Video courtesy of Linker Vision. NVIDIA Cosmos open models and the NVIDIA Metropolis Blueprint for video search and summarization (VSS) help agents interpret video and identify conditions, such as traffic congestion, equipment condition, underused spaces and safety hazards, that need attention.

14 Oct blogs.nvidia.com

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All Systems Go: Global PC App Ecosystem Ready for NVIDIA RTX Spark

NVIDIA RTX Spark is a new beginning for the PC — a reinvention combining the capabilities of a gaming PC, a creative studio and a personal AI supercomputer into a single superchip. With up to 128GB of unified memory and 1 petaflop of AI compute, RTX Spark delivers the full stack of NVIDIA RTX and CUDA technologies for creators, developers and gamers, while unlocking a new paradigm in personal computing via powerful local AI agents. Last week, NVIDIA and Microsoft announced that RTX Spark laptops will be available on Friday, Oct. 16. Ahead of the launch, NVIDIA and its ecosystem partners are rolling out new software features and performance optimizations to expand what’s possible with local AI on RTX Spark. New and upcoming RTX Spark updates — among the thousands of apps, games and models available at launch — include: New agent features, models and tools that enhance local agents on RTX Spark: Updates to top agent apps including GitHub Copilot, Hermes, OpenClaw, Perplexity, Pi and WorkBuddy streamline setup on RTX Spark, improve security with OpenShell and Microsoft Execution Containers (MXC), and enable hybrid local and cloud AI routing.

13 Oct blogs.nvidia.com

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From Earth to Orbit, France’s Ecosystem Delivers Agentic Computing at Scale With NVIDIA

Companies in France are deploying agentic computing across industries spanning space, financial services, the public sector and scientific research, demonstrating how the country’s ecosystem has moved from ambition to application. France’s progress sits on deliberate groundwork. The AI Action Summit in February 2025 and Choose France Summits in 2025 and 2026 anchored major compute commitments on French soil. What the ecosystem has built since then spans the full stack. Read All NVIDIA in Europe Announcements Sovereign AI Infrastructure France-based companies are expanding agentic infrastructure on NVIDIA technology. Bull is extending its European AI server production to NVIDIA Vera Rubin Ultra NVL72 systems, planned for 2028, with trays produced in Europe and rack integration at its Angers factory — inaugurated Friday, Oct. 2. Altair-1, the first satellite in a $1 billion, 50-satellite constellation with on-board autonomous capabilities, launched this month and has successfully reached orbit.

13 Oct blogs.nvidia.com

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OCP Global Summit: Amid Ecosystem Adoption, NVIDIA Opens Vera Rubin Architecture to Help Scale AI Factories Worldwide

As AI factories grow from megawatts to gigawatts, building them takes more than advanced computing. Open standards are helping the industry scale AI infrastructure faster, more efficiently and more reliably. At the Open Compute Project (OCP) Global Summit, taking place in the San Jose McEnery Convention Center, NVIDIA announced new partnerships and contributions aimed at creating a common foundation for next-generation AI infrastructure. NVIDIA contributed key NVIDIA Vera Rubin rack and compute tray designs to OCP through the open NVIDIA MGX architecture, giving system builders a common foundation for developing next-generation AI factory infrastructure. Together, these efforts span the AI factory itself, the utility grid that powers it and the rack-scale architecture at the heart of modern accelerated computing. NVIDIA and Partners Announce Open Architecture Advances At the OCP event, NVIDIA and partners made a handful of announcements: NVIDIA and hyperscalers published open standards for next-generation AI factories, including AI factory design standards and grid resilience. NVIDIA launched new open source software components for NVIDIA DSX AI Factory.

12 Oct blogs.nvidia.com

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Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents

Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building applications for exploring scenarios, investigating failures and improving designs. Developers direct AI agents through natural-language instructions, review results and guide changes. Omniverse libraries provide GPU-accelerated physics, rendering and sensor simulation capabilities. Explore the projects below to see frontier AI models such as GPT-6 Astra at work, and check back for new examples from NVIDIA teams and developers across the ecosystem. Build a Humanoid Simulator for a Warehouse Environment https://blogs.nvidia.com/wp-content/uploads/2026/10/Humanoid-Warehouse.mp4 Explore a gamified, physics-based control of a humanoid robot in first- and third-person view. Before automating warehouse tasks, developers need an interactive simulation environment to explore task behavior and evaluate how the work gets done.

8 Oct blogs.nvidia.com

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NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents

At a Microsoft event in San Francisco on Wednesday, Jensen Huang and Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardware and software for AI agents to run on Windows PCs. NVIDIA was founded because of Windows, Huang said. Now AI agents are coming to Windows. “If you look at the entire journey of our company, Windows was at the core of it,” Huang said, tracing back NVIDIA’s support for Windows and Microsoft over several decades. “If not for Windows there would be no GeForce.” NVIDIA founder and CEO Jensen Huang connected that history — and his long-term vision — to the agentic era Wednesday during a fireside chat with Microsoft CEO Satya Nadella hosted by Sriram Krishnan, a former senior White House policy advisor on AI at the Windows AI and Surface event, held at Dogpatch Studios in San Francisco. “The thing that I really give Jensen all the credit for, quite frankly, is that consistency of vision of what this can be—not today, not tomorrow, but as a secular trend,” Nadella said.

7 Oct blogs.nvidia.com

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Why Telecom Operators Are Building Their AI Strategy on Open Models

Telecom operators are increasingly building their AI strategies on open models — and the reasons go beyond mere cost. Open models give telcos the ability to trust, control and customize AI across their most critical workloads — from autonomous networks to customer care. NVIDIA’s latest State of AI in Telecommunications report reflects this shift, with 89% of respondents reporting that open source models and software are important to their company’s AI strategy. For operators, the strategic value of open models is fivefold: They expand access to frontier‑level intelligence at lower cost, allowing operators to reserve closed models for the workloads where they drive the most value. Independent benchmarks such as the Artificial Analysis Intelligence Index v4.3.2 show that leading open models are becoming more competitive across demanding reasoning, coding, scientific and agentic workloads. They support telco‑specific customization, with open weights and training recipes that operators can fine‑tune for their own operations using network, customer and industry data.

6 Oct blogs.nvidia.com

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From Scan to Treatment Plan, AI Helps Close Breast Cancer’s Deadliest Gaps

Breast cancer is the most commonly diagnosed cancer among American women — yet the gaps in care are wide. A majority of women over age 40 skip the recommended annual screening. Radiologists are reading more mammograms with fewer colleagues. And when a diagnosis arrives, the tests that inform treatment can take weeks to return results. Companies in the NVIDIA Inception program for startups are building AI applications to support clinicians at each of these friction points, including imaging, risk assessment and treatment planning. About 40 million mammograms are performed in the U.S. each year, but a projected shortfall of tens of thousands of radiologists over the next decade is straining the system’s capacity to read them. At the other end of the care timeline, treatment decisions often hinge on genomic assays sent off to outside labs — assays that take weeks to process, at a moment when speed and certainty matter most. The companies below are addressing both ends of that gap, and everything in between, accelerated by NVIDIA AI infrastructure.

5 Oct blogs.nvidia.com

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NVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AI

Local AI is becoming more useful by the token. As AI agents move from experiments into everyday development, increasingly capable open models are shrinking to fit on more devices, giving builders more to run locally. Coming this month, NVIDIA DGX Spark will be available with 64GB of unified memory from top manufacturer partners — Acer, ASUS, Dell, Gigabyte, HP and MSI — giving developers, researchers and AI enthusiasts a new configuration with DGX OS and the NVIDIA AI software stack ready to use from day one. The new SKU runs capable local agents on device — privately, without cloud dependency. And when workloads grow, two units can cluster together via NVIDIA Sync Cluster Assistant without any additional setup. A New Starting Point for Personal AI Supercomputing DGX Spark combines NVIDIA Grace Blackwell compute, unified memory, NVIDIA ConnectX-7 networking and an NVIDIA CUDA-accelerated AI software stack in one system. It’s a complete local AI platform for agents, inference, fine-tuning, data science and edge development. The compact, personal AI supercomputer provides a place to experiment with models and developers’ own data without turning to a cloud instance for every task.

2 Oct blogs.nvidia.com

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How NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra Ultrafast

GPT-6 Astra Ultrafast, running on NVIDIA Blackwell GPUs, is available now in the OpenAI API and to eligible ChatGPT Work and Codex users. Accelerated by inference optimizations through OpenAI’s models that tap into the capabilities of the NVIDIA Blackwell architecture, Ultrafast offers up to 8x faster token generation than the Astra Standard mode. For developers, faster generation can shorten coding agents’ edit-test-debug cycles, reduce the time spent generating responses between tool calls and make interactive applications feel more responsive. A faster response matters most when it’s repeated across a workflow: an agent writes code, uses a tool, checks the result and decides what to do next. Ultrafast brings Astra’s capabilities into these time-sensitive loops. NVIDIA AI infrastructure helps OpenAI serve more useful model outputs when developers need it. “NVIDIA’s deep investment in tooling and documentation has enabled us to make our models exceptionally good at programming Blackwell and Rubin GPUs,” said Philippe Tillet, inference lead at OpenAI.

2 Oct blogs.nvidia.com

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Productive, Durable, Fungible: How NVIDIA AI Factories Maximize Return on Investment

AI factories are built by the megawatt, even by the gigawatt. Each megawatt factory costs roughly $60 million, and AI factory operators will only commit capital on that scale with a clear view of the return on investment. Three key things shape AI factory returns: Earning capacity: What the factory could earn in a year if it sold every token it can produce. Useful life: How long its AI hardware keeps earning. Demand: How much demand there is for those tokens. Strength cannot fully offset weakness in another. High earning capacity counts for little if the factory sells only part of what it can produce. High demand matters little if it stops producing at full capacity in just a year. Nor are the three independent. A factory that can run more kinds of workloads finds more demand, keeping it earning year after year. NVIDIA AI factories are engineered to maximize all three. They’re: Productive: Delivering the highest throughput per megawatt and the lowest cost per token, which maximizes their earning capacity. Durable: NVIDIA GPUs and systems keep earning years after they ship, extending useful life.

1 Oct blogs.nvidia.com

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NVIDIA Opens Applications for 2027–2028 Graduate Fellowships With Awards Up to $60,000

Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 26th year, is now accepting applications worldwide. It focuses on supporting students working in AI, machine learning, autonomous vehicles, computer graphics, robotics, healthcare, high-performance computing and related fields. Awards are up to $60,000 per student. Since its start in 2002, the Graduate Fellowship Program has awarded over 220 grants worth around $8 million. Students must have completed at least their first year of Ph.D.-level studies at the time of application. The application deadline for the 2027-2028 academic year is October 30, 2026. An in-person internship at an NVIDIA research office preceding the fellowship year is mandatory; eligible candidates must be available for the internship in summer 2027. For more on eligibility and how to apply, visit the program website.

30 Sept blogs.nvidia.com

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From Training to Production, NVIDIA and CoreWeave Close the Loop on Agentic AI

Building on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment across multiple generations of deployment. Now, CoreWeave is bringing the next generation of NVIDIA infrastructure to production. At CoreWeave Fully Connected, running this week in San Francisco, CoreWeave announced availability of NVIDIA Vera Rubin NVL72 systems with Spectrum-X 102.4T Ethernet networking. Cognition, the applied AI lab behind the Devin AI software engineer, is the first customer running production workloads on Vera Rubin. CoreWeave will also offer NVIDIA Vera, the first CPU built for AI agents. In addition, CoreWeave launched CoreWeave Forge, a connected environment for training, evaluating and improving models and agents on NVIDIA accelerated computing. “NVIDIA accelerated computing delivers value across generations,” said Ian Buck, vice president of hyperscale and high-performance computing at NVIDIA. “CoreWeave’s NVIDIA V100 GPUs are still running customer workloads nearly a decade after Volta launched, even as CoreWeave brings Vera Rubin NVL72 into production.

30 Sept blogs.nvidia.com

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How Open Science Can Help Researchers Prepare for the Next Pandemic

When COVID-19 emerged, scientists had a crucial advantage: Decades of prior research on coronaviruses meant they understood the virus’ key proteins well enough to design vaccines in record time. The next pandemic may not offer the same head start. To help improve the odds, NVIDIA has joined a coalition of global research organizations, including Google DeepMind and the European Molecular Biology Laboratory’s European Bioinformatics Institute (EMBL-EBI), to release predicted 3D structures for the protein complexes of more than 2,800 viruses — openly available to any scientist, anywhere, through the AlphaFold Database. The structures in the newly released dataset were inferred using AlphaFold2 — Google DeepMind’s AI model for predicting how proteins fold into 3D shapes — with optimization from NVIDIA BioNeMo Inference Runtime. This allowed the team to scale inference to thousands of viral proteomes, predicting the complexes, or groups of interacting proteins, encoded within each virus. “Our ambition with the AlphaFold Database has always been to democratize access to foundational biology at scale,” said Risha Patel, life sciences partnerships manager at Google DeepMind.

24 Sept blogs.nvidia.com

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Sakeena Fiza Helps NVIDIA Hardware Succeed at Scale

When Sakeena Fiza describes her work as a validation engineer at NVIDIA, she does so in terms more befitting a detective story than a world-class engineering lab. “Validation engineers look in the shadows and shine a light into every corner,” Fiza said. “Every time we get a system, our first thought is: how can it break?” And when it does? “I always like to think of it as a mystery to solve,” she said. At NVIDIA, the systems Fiza and her colleagues in the data center systems engineering lab investigate are the engines of the AI era. Her work begins before the rest of the world knows a product exists — in the lab — when a new system first receives power. Components are brought up one by one, boards are integrated, firmware and software teams swarm, and engineers watch for the first signs of life. One of Fiza’s earliest and most enduring memories of working at NVIDIA is the collective joy she experienced when she saw the NVIDIA Rubin GPU working for the first time at a system level. “It literally just said, ‘NVIDIA Corporation Device,’” she recalls.

23 Sept blogs.nvidia.com

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At AI Day Singapore, NVIDIA and Partners Showcase AI Advancements Across Southeast Asia

NVIDIA AI Day Singapore, which takes place Sept. 22-23 at the Raffles City Convention Centre, is offering attendees opportunities to explore the hands-on training, expert-led sessions and advanced tools to accelerate their work in AI and high-performance computing. At the event, NVIDIA and its partners are showcasing breakthrough AI advancements across the Southeast Asia region at large. Read more about these announcements below. NVIDIA Accelerates Public Sector AI from Pilot to Production in Southeast Asia AI is becoming a matter of national strategy, with governments looking to move from pilots to production and deliver impact at scale, while building trusted AI capabilities that reflect local languages, cultures, priorities and economic needs. NVIDIA is working to enable all nations to be AI nations — providing the technology, infrastructure, ecosystem and expertise needed to make this possible. To accelerate this transition across Southeast Asia, NVIDIA is helping nations move AI from experimentation to production-scale deployment through open models, developer tools and a broad partner ecosystem.

23 Sept blogs.nvidia.com

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NVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics Development

To build and deploy sophisticated robotics applications that can perceive, reason and act in dynamic environments, developers need new physical AI models and tools. The ROS open framework is a project from Open Robotics that helps humans build robots. NVIDIA Isaac ROS 5.0 — a collection of GPU-accelerated packages built on ROS, released today at the ROSCon conference in Toronto, Canada — helps humans and AI agents build robots together. The release introduces new agentic workflows and platform support to help developers build, customize and deploy robotics applications faster. ROS provides the open source foundation for much of modern robotics development, giving developers common tools, libraries and standards for building and connecting robot applications. NVIDIA Isaac ROS brings NVIDIA accelerated computing, physical AI models and production-ready libraries to the nearly 1.3 million ROS users, helping developers build high-performance robotics applications using free, familiar, open source tools.

22 Sept blogs.nvidia.com

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NVIDIA Launches DSX Ready to Qualify Power and Cooling Products for AI Factories

Every AI factory needs power and cooling that fit its computing architecture. As AI infrastructure expands, power, cooling, water, site and grid constraints are shaping what builders can deploy. Choosing products that fit the complete factory design helps builders turn computing capacity into useful AI output. To help builders make those decisions, NVIDIA is introducing NVIDIA DSX Ready, a qualification program for partner products and solutions that meet applicable NVIDIA DSX AI factory reference design requirements. The program launches with two initial categories: battery energy storage systems (BESS) and cooling distribution units (CDUs). Category-specific requirements and review through the program help builders evaluate offerings with greater confidence, reduce integration risk and move toward deployment. Qualified Building Blocks for Building AI Factory The NVIDIA DSX AI factory platform unifies AI factory design and operations across compute, networking, power, cooling, facilities and software. It helps partners design and operate the factory as one system to produce more useful AI output within available power, cooling, water and grid constraints.

21 Sept blogs.nvidia.com

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Why Deploying Physical AI at Scale Demands Safety at Every Layer

Physical AI is moving rapidly from research to large-scale deployment. By 2035, ABI Research projects an installed base of 49 million level 3-5 autonomous vehicles (AVs), while Omdia estimates that roughly 60 million industrial robots will be deployed between 2026 and 2035. As these machines enter roads, factories, warehouses and other environments shared with people, safety must scale with them. Physical AI safety means proving that AI-driven machines — AVs, humanoid robots, industrial robots and more — behave safely when their decisions turn into physical action. That requires safety across the hardware, software, AI, operating environment and deployment lifecycle — not a one-time check before deployment. Why Is Safety the Key to Scaling Physical AI? After years of testing and benchmarking, AVs continue to expand commercially. That progress has required developers to demonstrate how automated systems address potential hardware and software failures, limitations in intended functionality and AI-specific risks. Robotics is approaching a similar inflection point as autonomous machines move into factories, warehouses and other environments shared with people.

21 Sept blogs.nvidia.com

BlogNVIDIA

From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale

Today, Egypt’s AI builders gathered in the Grand Egyptian Museum for a reception that highlighted the nation’s rapidly growing AI ecosystem — spanning AI natives, developers, researchers, startups and enterprises — building applications across industries. The event included a keynote from Paolo Guglielmini, vice president of EMEA at NVIDIA. Ahmed Mostafa, regional AI adoption lead for the Middle East and Africa at NVIDIA, delivered a session on “Why Accelerating Every Layer Matters,” exploring NVIDIA’s full-stack approach to AI development and deployment. The event also featured a panel moderated by Basil Fateen, head of startups for the Middle East and Africa at NVIDIA, with participation from startups across smart spaces, healthcare, cybersecurity and robotics. In Egypt, the NVIDIA Deep Learning Institute learner base grew more than tenfold in a single year. In June, the National Telecommunications Regulatory Authority of Egypt licensed Hassan Allam Data Centers to build and operate data centers in the country. Under that license, Hassan Allam Utilities and investment firm A15 agreed to develop a new data center, an estimated $400 million investment.

21 Sept blogs.nvidia.com

BlogNVIDIA

AI Security Is an Engineering Problem — How to Solve It at Every Layer of the Agent Stack

AI security is an engineering problem. That means defined security requirements, enforceable controls, named owners and evidence that protections work. As AI becomes more capable, the industry must accelerate security engineering, broaden access to defensive tools and share what works faster. Technology Changes, Security Fundamentals Endure The internet and cloud computing changed how software operates, while core security responsibilities endured: establish identity, control access, limit exposure and verify that protections work. AI agents introduce new capabilities — reasoning, using tools and adapting actions based on the data they encounter. Those capabilities require applying established principles to new operating conditions. This pace creates pressure. Organizations want the productivity benefits of AI while the practices to govern and secure these systems are still developing. Security Depends on the Full Agent Stack Applications depend on code, data, identities, services and infrastructure. Security depends on how those components work together — and AI agents extend that system.

21 Sept blogs.nvidia.com

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5 Companies Using NVIDIA AI for Clean Energy

NVIDIA showcases five companies using AI to accelerate the shift to clean energy. ThinkLabs AI uses digital twins to reduce the time to evaluate grid interconnection applications from 30–45 days to just two minutes. Atomic Canyon develops AI tools for the nuclear power industry, while Redwood Materials builds battery systems from recycled electric vehicles to power AI factories without waiting for grid expansion. TerraPower uses digital twins to speed up deployment of new nuclear plants, and Commonwealth Fusion Systems employs AI to accelerate fusion energy research.

21 Sept blogs.nvidia.com

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Cute Critters Come to the Cloud: ‘Aniimo’ Launches on GeForce NOW

NVIDIA is launching eleven new games on its GeForce NOW cloud service this week, including the free game Aniimo from Pawprint Studio — an open-world adventure where you catch and collect creatures and can stream directly without downloading the game's 45GB. The James Bond game 007 First Light also receives an update with path tracing for more realistic lighting and shadows. Two other new games are Active Matter, a military shooter set in a fractured multiverse, and the space mystery Outer Wilds — all streamable on Steam Deck, Firefox and other devices.

17 Sept blogs.nvidia.com

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NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut

NVIDIA presents its new Vera Rubin NVL72 system, which shows significant performance improvements in MLPerf Inference v6.1 tests. The system delivers up to 3.7x higher throughput than its predecessor GB300 NVL72 on the Qwen3-VL benchmark, and 2.5x higher on DeepSeek-R1. When four GB300 NVL72 racks were scaled up together, 99 percent scaling efficiency was achieved — throughput grew nearly linearly as more GPUs were added. NVIDIA also achieved performance gains through software optimization: version 6.1 was up to 1.6x faster than 6.0. For AI agents solving complex multi-step problems, Vera Rubin delivered 30x better performance than GB300 in testing.

16 Sept blogs.nvidia.com

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Emerald AI, Google and NVIDIA Launch Alliance to Advance Flexible AI Data Centers

Emerald AI, Google, and NVIDIA have launched the AI Energy Management Alliance (AEMA), a coalition helping AI data centers flexibly adjust their electricity use based on grid conditions. Instead of always drawing the same amount of power, these centers can shift computing tasks, use storage, or adapt when the grid is strained. This allows more computing capacity from existing infrastructure, reduces environmental impact per watt, and gives utilities greater confidence to connect AI facilities faster. The alliance focuses on performance rather than specific technology, and sets clear rules for how data centers must behave during grid disturbances and emergencies.

16 Sept blogs.nvidia.com

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University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK

Researchers at the University of Manchester are using NVIDIA Earth-2, an AI model originally developed for weather forecasting, to predict air pollution across the United Kingdom. Air pollution causes approximately 30,000 deaths annually in the UK, but traditional chemistry-based models are too slow and expensive for detailed forecasts. The team trained the Earth-2 CorrDiff model on Isambard-AI, the UK's national AI supercomputer, in just two days using a year's worth of air pollution data. The model can now run on a smaller desktop computer (DGX Spark) and be used to create future scenarios, alert healthcare providers about high pollution levels, or respond to events like wildfires.

16 Sept blogs.nvidia.com

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‘Now We Can Know Everything and Do Anything,’ Jensen Huang Says at Dreamforce

At Salesforce Dreamforce, NVIDIA founder Jensen Huang unveiled Koa, Salesforce's first CRM reasoning model—an AI model trained on NVIDIA's Nemotron 3 Super. Koa was built by fine-tuning Nemotron on data from nearly three decades of real CRM usage and delivers 3x fewer errors than leading models on CRM tasks like updating opportunities or routing cases. Huang emphasized that safety is paramount but that development and rapid innovation need not come at the expense of security; Salesforce uses no customer data during training or operation, and the model runs entirely within Salesforce's own infrastructure.

16 Sept blogs.nvidia.com

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From Megawatts to Tokens: How NVIDIA Maximizes AI Factory Production

NVIDIA introduces DSX, a system to optimize power consumption in AI factories (large data centers). A test in California showed that a power grid could send signals to a data center, which then automatically reduced power consumption from four to three megawatts without disrupting critical workloads. Lambda Labs, a cloud provider, found that the same power budget could produce 24 percent more work when managed intelligently. The system allows data centers to respond to grid needs by pausing less important computations while critical tasks continue.

15 Sept blogs.nvidia.com

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AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories

NVIDIA presented its latest advances in energy-efficient AI infrastructure at the AI Infra Summit, focusing on maximizing AI tokens per megawatt of power rather than raw processing capability alone. Lambda improved performance per watt by 23 percent using NVIDIA's DSX MaxLPS software, and Emerald AI demonstrated how AI factories can adjust power consumption based on grid demand. NVIDIA DSX MaxLPS can deliver up to 1.4x more tokens per megawatt through factory-wide optimization and enable up to 40 percent more GPU capacity within the same power budget for Vera Rubin systems.

15 Sept blogs.nvidia.com

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Perplexity Portable Computer Is Now Available on Windows, Powered by NVIDIA RTX

Perplexity Portable Computer is now available for Windows PCs with NVIDIA RTX graphics cards. It's a local AI agent that can plan and execute multi-step tasks directly on your computer without sending sensitive data to the cloud. The agent can analyze files, gather information from apps like Gmail, Slack, and GitHub, and handle work such as reviewing code changes, analyzing financial records, or finding where a startup loses new users. For more advanced tasks, it can itself request permission to use cloud-based AI. Setup is simple — the app uses pre-optimized AI models so you don't need to configure complex technology yourself.

14 Sept blogs.nvidia.com

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Skild AI Taps NVIDIA Physical AI to Teach Robots New Tasks From a Single Video

Skild AI has launched S1, a robot model that can learn new tasks from just a video without requiring retraining. Instead of reprogramming robots for each new task, an operator can simply record a video of what needs to be done, and the model understands and performs it. S1 handles complex tasks lasting up to 10 minutes — such as plant potting, food preparation, and assembly work — and succeeds approximately 66 percent of the time on each step, compared to 9 percent for similar systems. Skild AI already has 60+ deployment partnerships and reached 100 million dollars in annual revenue 10 months after its first commercial deployment.

10 Sept blogs.nvidia.com

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Physical AI Takes the Wheel: How the World’s Robotaxi Leaders Are Building With NVIDIA Technologies

NVIDIA presents a platform for robotaxi companies consisting of three computing components: one for training AI models, one for simulation and validation, and one for in-vehicle computations. The robotaxi market is estimated to grow to $400 billion by 2035 with over 6 million vehicles in operation, and all major commercial robotaxi programs today use NVIDIA's technology. The platform enables developers to train models on their own data, simulate millions of driving scenarios digitally, and run real-time computations safely in the vehicle—all to build and scale autonomous fleets.

10 Sept blogs.nvidia.com

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d-Matrix Adopts NVIDIA NVLink Fusion for Rack-Scale XPU Deployment

Chipmaker d-Matrix will use NVLink Fusion, a standard from NVIDIA, to connect its Raptor XPU processors to NVIDIA's AI infrastructure. This enables d-Matrix to build large AI systems without solving all technical problems themselves—they can use NVIDIA's ready-made solutions for networking, server racks, cooling, and supply chains. Instead of building entirely custom servers, data centers can now use the same rack design for GPUs, CPUs, and XPUs together.

10 Sept blogs.nvidia.com

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NVIDIA Brings Real-Time AI to Broadcast, Sports and Global Streaming at IBC

NVIDIA presented new AI tools for the media industry at the IBC conference in Amsterdam (September 11-14). The main initiative is an expansion of NVIDIA AI for Media, which includes the Synthetic Video Detector (SVD) for detecting deepfakes — the tool achieves 99.3 percent accuracy for text-to-video and 97.7 percent for image-to-video. Companies such as Dalet, TwelveLabs, and Wowza are integrating SVD into their platforms for news verification and content control. Additionally, 3D Body Pose was presented to track movement from a standard camera, which can be used in sports and animation production, along with tools for smoothing video motion, improving image quality, and converting standard video to HDR format.

9 Sept blogs.nvidia.com

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Sparks Fly: NVIDIA Accelerates Local AI at IFA 2026

NVIDIA is presenting new tools at IFA 2026 that make it easier to run AI agents locally on your own computer instead of in the cloud. New RTX Spark computers from Lenovo and Acer will arrive in October, and popular agent apps like Hermes, OpenClaw, and Perplexity will get simplified local installation. NVIDIA has also released faster processing — up to 1.9 times faster — and launched several new AI models that can run locally, including Meta's Muse Glimmer and DeepSeek's v4 Flash. A new tool called NVIDIA PAIR intelligently distributes AI processing across multiple computers in your network.

3 Sept blogs.nvidia.com

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NVIDIA to Acquire Hugging Face

NVIDIA is acquiring Hugging Face for approximately $12.9 billion. Hugging Face is a platform where over 18 million developers, researchers, and creators share more than 3 million AI models, 500,000 datasets, and 1 million applications—and over 200,000 companies use it. NVIDIA promises that Hugging Face will remain an open platform where developers can choose which models, frameworks, cloud providers, and hardware they want to use, and that NVIDIA's own hardware will not be required. NVIDIA states that open AI models give startups, universities, and small companies the opportunity to build on advanced AI capabilities without training models from scratch.

3 Sept blogs.nvidia.com

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NVIDIA and CrowdStrike Strengthen Agentic Cybersecurity Frontier

NVIDIA and CrowdStrike introduced SafeMind, an AI-based defense system against cyberattacks that uses itself to improve continuously. The system is built on NVIDIA's Nemotron models trained on CrowdStrike's 15 years of security data, creating a loop where attack patterns and defenses challenge and enhance each other continuously. According to CrowdStrike, AI-enabled attacks increased 89 percent last year and hackers now take only 27 seconds to penetrate networks—faster than humans can respond. SafeMind is delivered built into CrowdStrike's Falcon platform and can also be used modularly, allowing organizations to choose which models and tools suit their environment.

1 Sept blogs.nvidia.com

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NVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth Memory

NVIDIA has expanded its NVLink Fusion platform with NVHBM, a new high-speed memory technology. Instead of placing the memory controller on the AI chip itself (XPU), NVHBM places it in the memory stack, delivering 30 percent higher memory speed, 15 percent lower power consumption, and freeing up 25 percent more space for computation on the chip. Amazon will be the first to use the technology with its future Trainium4 chips.

26 Aug blogs.nvidia.com

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Leading Publishers Bring Blockbuster PC Games and Technology to NVIDIA RTX Spark

NVIDIA is launching RTX Spark, a new platform for Windows PCs arriving in fall that combines AI agents, content creation, and high-performance gaming. Major game publishers including EA, Ubisoft, and Embark Studios are bringing popular titles to the platform, such as EA SPORTS F1 25, Apex Legends, and Anno 117: Pax Romana. NVIDIA also announces updates to its graphics technologies, including DLSS 4.5 Ray Reconstruction, which uses AI to improve image quality, and support for EA's anti-cheat technology to enable fair play.

25 Aug blogs.nvidia.com

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How XPUs Meet a World-Class AI Factory

NVIDIA introduces NVLink Fusion, a solution that allows companies to build custom AI processors (XPU) without developing all infrastructure from scratch. Instead of designing networks, server racks, and cooling equipment independently, companies can connect their custom processors to NVIDIA's existing systems. NVLink Fusion delivers faster communication between processors — approximately 3 times lower latency than standard networking alternatives — and supports up to 72 processors in a network. It also enables companies to prepare their data centers before the final processor is ready, reducing risk and time to market.

24 Aug blogs.nvidia.com

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With Groq 3 LPX in Full Production, NVIDIA Extends Vera Rubin Inference for Agents

NVIDIA has launched Groq 3 LPX, a system now in full production designed to run agent-based AI systems that can make independent decisions and use tools. The system can generate 3,400 output tokens per second—approximately four times faster than the nearest competitor's solution. NVIDIA combines three components: Vera Rubin processors for reading and processing large amounts of text, Spectrum-X networks for fast data communication, and Groq 3 LPX for generating responses. Companies including SpaceXAI, CoreWeave, and Nebius are already adopting the platform.

24 Aug blogs.nvidia.com

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Up to 30x More Work Per Watt: NVIDIA Vera Rubin NVL72 Sets a New Efficiency Standard for AI Agents

NVIDIA presents its new Vera Rubin NVL72 processor, which handles AI agents 30 times more efficiently than previous models. Agents consume much more data than simple chat — they search through databases, compare alternatives, and perform reasoning step by step, causing the volume of processed data to grow enormously. Vera Rubin also reduces cost per million processed tokens by 35 times. This matters for companies running AI factories, as it enables running more agents on the same power budget and earning more money per processed request.

24 Aug blogs.nvidia.com

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