News Releases - NVIDIA Newsroom

Spain-Based Startups Advance Regional Innovation With Barcelona Supercomputing Center

Tobias Halloran — Tue, 20 Oct 2026 05:00:00 GMT

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 […]

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

NVIDIA Writers — Mon, 19 Oct 2026 19:27:08 GMT

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 […]

NVIDIA Runs Record Simulation of Fault-Tolerant Quantum Computing at Jülich Supercomputing Centre

Mon, 19 Oct 2026 18:00:00 GMT

News Summary:

NVIDIA researchers are using JUPITER — the largest supercomputer in Europe, built at Jülich Supercomputing Centre — for a record-breaking fault-tolerant quantum computing simulation.
The 104-qubit simulation is the largest comprehensive simulation of a fault-tolerant quantum computing system to date, with no prior simulations modeling quantum processors in such full detail.
The simulation validates a quantum computing approach that uses 90% fewer physical qubits than previous methods, accelerating progress toward useful applications in drug discovery, financial modeling and materials science.
JUPITER simulations are providing the quantum industry with actionable insight into the impact of noise on fault-tolerant quantum computing, enabling researchers to refine designs before building hardware — shortening the path to viable quantum computers by years.

NVIDIA today announced a record-breaking quantum computing simulation on JUPITER, Europe’s first exascale supercomputer, allowing researchers to fully explore and validate magic state cultivation — a leading approach to fault-tolerant quantum computing that requires 90% fewer qubits than previous methods.

Running on a system of NVIDIA GH200 superchips at Jülich Supercomputing Centre, the 104-qubit simulation is the largest comprehensive simulation of a fault-tolerant quantum processor to date, modeling how a realistic quantum processor performs fault-tolerant computation at record scale.

That level of fidelity gives researchers the data and tools needed to predict the performance of future designs before they are built — reducing reliance on hardware trial and error, and accelerating the path to useful quantum applications in fields like drug discovery, financial modeling and materials science.

“Useful quantum computing will require fantastically complex, fault-tolerant systems — and understanding how they behave at scale is essential to building them,” said Jensen Huang, founder and CEO of NVIDIA. “Our results from Jülich show how quantum processors and GPU supercomputers can work together to tackle research that would otherwise be out of reach — accelerating the discovery of transformative quantum applications.”

“Europe’s investment in JUPITER gives researchers the ability to investigate questions that were previously beyond reach,” said Kristel Michielsen, director of the Jülich Supercomputing Centre at the Forschungszentrum Jülich facility. “Working with NVIDIA, we’re bringing that capability to quantum computing — helping scientists make better-informed decisions about the designs most likely to deliver useful applications.”

Reducing the Resources Needed for Useful Quantum Computing
Because qubits operate at the limits of physics, the interactions needed to control them introduce unavoidable, error-inducing noise. Computing in the presence of such noise — known as fault-tolerant quantum computing — requires the use of magic states, a specific arrangement of qubits that is continually consumed during a fault-tolerant quantum computation.

Fault-tolerant quantum computers rely crucially on repeatedly producing magic states — meaning that any optimization in how they are made drastically reduces the difficulty of building a useful quantum computer.

By simulating this process under realistic noise, NVIDIA researchers validated a state-of-the art magic-state cultivation approach, giving researchers the tools needed to develop and test future improvements.

Earlier, groundbreaking research from Jülich simulated 50 qubits under ideal, noiseless conditions. This work simulates magic-state cultivation under realistic hardware noise, helping researchers understand the impact of errors.

From Research Development to Exascale Simulation
Simulating magic-state cultivation helps researchers evaluate and improve designs before building quantum hardware. But the memory required can grow exponentially with the number of qubits, putting large-scale simulations beyond the reach of conventional computing systems.

An NVIDIA GB200 NVL72 system at the NVIDIA Accelerated Quantum Research Center (NVAQC) served as the development platform for the JUPITER project, enabling researchers to scale tests from four GPUs to hundreds before moving to 8,192 GPUs on JUPITER.

Researchers used the center to accelerate the development and testing of their simulation methods, compare results with JUPITER and explore how accuracy scaled with additional computing resources. This work helped reduce a weekslong simulation effort to days while preparing the team to use JUPITER’s exascale computing capacity effectively.

The project demonstrates how simulation will grow increasingly important and complex as quantum computing systems grow in size. It also shows the utility of accelerated computing clusters, like at NVAQC, in allowing researchers to develop and validate simulation methods before tapping into world-class supercomputers for their most demanding calculations.

The simulations ran using NVIDIA cuQuantum software to achieve highly optimized performance and scale, along with the NVIDIA CUDA-Q™ platform’s fault-tolerant logical layer to express the magic-state circuit.

Read the GitHub blog on the JUPITER simulation.

Watch the GTC Berlin keynote from Huang and explore sessions.

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

Richard Kerris — Mon, 19 Oct 2026 15:00:31 GMT

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 […]

RTX Spark Ignites Global Celebration as New Windows PCs Arrive

Gerardo Delgado — Sat, 17 Oct 2026 21:00:13 GMT

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 […]

NVIDIA RTX Spark PCs Available Today — A New Beginning for Windows PCs

Fri, 16 Oct 2026 12:00:00 GMT

News Summary:

NVIDIA RTX Spark laptops are available today from ASUS, Dell, HP, Lenovo, Microsoft and MSI — with additional systems to follow — bringing RTX acceleration and NVIDIA’s full-stack AI platform to slim, premium Windows PCs for creation, gaming and local AI.
RTX Spark delivers up to 1 petaflop of AI compute and up to 128GB of unified memory — enabling AI developers, creators and gamers to run frontier AI models locally, render 90GB+ 3D scenes and play AAA games at 1440p at over 100 frames per second, all on a slim, portable device.
Day-one support across local AI agents, creative apps and major games helps users put RTX Spark to work immediately — from editing with Adobe Photoshop and Premiere to running Hermes and OpenClaw agents and playing titles including Gears of War: E-Day and NBA 2K27 with NVIDIA DLSS 5.

NVIDIA today announced the availability of NVIDIA RTX Spark™ laptops, bringing together RTX graphics and NVIDIA’s full-stack AI platform in slim, premium Windows PCs for accelerated creation, immersive gaming and powerful local AI — rolling out from ASUS, Dell, HP, Lenovo, Microsoft and MSI.

Combining decades of NVIDIA innovation into a single superchip, RTX Spark delivers up to 128GB of unified memory and 1 petaflop of FP4 AI performance to run large language models and AI agents locally. On a single device, creators, developers and gamers can move seamlessly between their everyday workflows and emerging AI agents on the familiar Windows platform.

“RTX Spark brings the power of NVIDIA AI, RTX graphics and CUDA together with Microsoft Windows in one PC for creating, gaming and running personal AI agents,” said Jensen Huang, founder and CEO of NVIDIA. “Together with Microsoft and our PC industry partners, we’re bringing creators, developers and gamers a new generation of Windows PC, built for the work they do today and the personal AI agents they’ll work with next.”

“We’re building Windows to be the platform for hybrid intelligence, where AI can run locally when it makes sense and reach the cloud when needed,” said Yusuf Mehdi, executive vice president at Microsoft. “Windows PCs powered by RTX Spark unlock powerful new local compute for creators and developers, expanding what they can create, build and run on Windows.”

A New Beginning for Windows PCs
RTX Spark brings NVIDIA’s accelerated computing platform to a new generation of portable Windows PCs.

At its foundation is a single superchip combining an NVIDIA Blackwell RTX GPU and an NVIDIA Grace CPU with up to 128GB of unified memory and up to 1 petaflop of FP4 AI performance. That shared memory allows demanding creative projects and local AI models to run simultaneously and efficiently. MediaTek collaborated with NVIDIA on the custom CPU design, contributing to its best-in-class power efficiency, performance and connectivity.

All of NVIDIA’s platform innovation comes together in RTX Spark — NVIDIA CUDA^®, DLSS, OptiX™, Reflex, G-SYNC^®, TensorRT™ and hardware-accelerated video — in a device that fits in a messenger bag. Slim, efficient designs and all-day battery life bring these capabilities wherever users create, develop and play.

From Tool to Teammate
RTX Spark gives users the capabilities to deploy local AI agents that turn the PC from a tool into an everyday teammate that can complete tasks, generate assets and write code.

Users can put agents to work immediately. Guided setup and easy installers help users get started with agents, including GitHub Copilot, Hermes, OpenClaw, Perplexity, Pi and WorkBuddy, without requiring a command line.

“Personal AI becomes more useful when it can work with your tools and help get things done,” said Dillon Rolnick, CEO at Nous Research, creators of Hermes Agent. “We brought Hermes to RTX Spark so people can put open AI models and agents to work locally on a Windows laptop, with greater control over their data and the freedom to shape AI around their own workflows.”

NVIDIA’s models and tools build on that ecosystem. Nemotron 3.5 Bolt 74B-A9B 24GB, a 74-billion-parameter model optimized for tool calling and multistep tasks, brings more capable local AI to supported RTX Spark configurations.

The NVIDIA OpenShell™ secure runtime and Microsoft Execution Containers help users control agent permissions, while NVIDIA agent skills let compatible agents work with tools including NVIDIA Broadcast, RTX Remix and Omniverse™ libraries. For example, compatible agents can adjust Broadcast effects during a stream or batch-process recorded clips, all on a local PC.

That experience extends across devices with NVIDIA PAIR, letting RTX Spark serve AI inference to compatible Windows, Linux and macOS computers on a home network while keeping other PCs free for creating and gaming.

Create, Innovate, Play
RTX Spark helps creators move from an idea to finished content wherever they work, with the ability to edit 8K 4:2:2 video and render large 3D scenes up to 90GB, even when unplugged.

With the arrival of RTX Spark, Adobe is enhancing its industry-leading creative applications, including Photoshop, Premiere and Substance 3D, with NVIDIA TensorRT acceleration in AI-editing features. In Premiere, creators can work faster across some of the most intensive parts of post-production, from playback and rendering to effects, color grading and more. Photoshop and Premiere offer native RTX Spark support through beta releases available at launch, with Substance coming soon.

“Creatives are pushing the boundaries of what’s possible across image, video, audio and 3D, and they need tools that can keep up with their ambitions,” said Deepa Subramaniam, vice president of product marketing for creative professionals at Adobe. “By combining NVIDIA’s advanced computing technology with Adobe’s industry-leading creative applications, we’re delivering enhanced experiences that empower creatives to bring their ideas to life with greater power and speed.”

For enhancing recorded content, NVIDIA Broadcast 2.3 lets creators remove background noise from existing recordings and shape their voice with Studio Voice Mic Profiles. Beta RTX Video features enable up to 4K super resolution and 4x frame generation.

In ComfyUI, new RTX Video nodes can turn 15 frames-per-second (fps) AI-generated video into smoother 60 fps footage and convert it to high dynamic range without requiring per-use cloud inference charges.

Code, Test and Deploy With One Machine
As AI shifts software development from writing code to directing agents, work often spans a laptop, a cloud AI model and a cloud virtual machine for testing.

RTX Spark brings coding, testing and prototyping onto one machine. Native CUDA support lets developers run models and agents locally, keeping locally processed code and context on their device with a path to deploy across more than 150 million NVIDIA RTX™ AI PCs and NVIDIA GPUs in the cloud. Windows Developer Config streamlines setup, while Windows Subsystem for Linux provides familiar Linux tools used in cloud development.

NVIDIA Skills, an open source GitHub repository, teaches agents to use NVIDIA CUDA-X™ tools and libraries, helping developers build NVIDIA-accelerated apps without CUDA expertise.

NVIDIA and Microsoft have readied developer tools for RTX Spark, including the first PyTorch-CUDA build for Windows on Arm, the first Python build that is native by default, the first native Conda installer, support for 97% of the top 15,000 Python packages, and coding agents such as GitHub Copilot and Pi.

Game Ready With Hundreds of Games
RTX Spark brings immersive gaming to the same portable Windows PC used for creating and developing, with NVIDIA Blackwell RTX graphics enhancing image quality and accelerating performance in supported titles.

Launch support spans single-player adventure and online multiplayer games including Cyberpunk 2077, Fortnite, Gears of War: E-Day, Marvel Rivals, World of Warcraft and NBA 2K27.

NBA 2K27 showcases that immersive experience, using NVIDIA DLSS 5 technology with the 3D-Guided Neural Rendering feature to enhance lighting and material details for greater realism. A new 2x faster AI model, available today, boosts DLSS 5 frame rates by up to 1.4x. NVIDIA’s suite of RTX gaming technologies — DLSS, ray tracing, G-SYNC and Reflex — bring sharper visuals, smoother gameplay and greater responsiveness.

“Bringing the energy of NBA basketball to life means making every detail feel authentic,” said Peter Kavic, senior producer for visual concepts at 2K. “We worked with NVIDIA to bring ‘NBA 2K27’ to RTX Spark, using DLSS 5 with 3D-Guided Neural Rendering to deliver richer lighting and boost the visual quality of materials to deliver a jump in photorealism on a new generation of slim laptops and compact desktops.”

Availability
RTX Spark laptops are available globally today from ASUS, Dell, HP, Lenovo, Microsoft and MSI through their websites and major retailers, starting at $2,599, with a limited-time promotion for new Perplexity users. Pricing and configurations vary by region.

The lineup of RTX Spark laptops includes ASUS ProArt P14 and P16, Dell XPS 16, HP OmniBook Ultra and OmniBook X 14, Lenovo Yoga Pro 9n, Microsoft Surface Laptop Ultra, and MSI Prestige N16 Flip AI+ and Prestige N16.

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Mercedes-Benz and NVIDIA Expand Strategic Partnership to Advance Safe Highly Automated Driving in the Next Decade

Fri, 16 Oct 2026 08:00:00 GMT

News Summary:

Mercedes-Benz and NVIDIA will extend their partnership to jointly develop the next generation of driver assistance and automated driving systems.
The collaboration combines Mercedes-Benz automotive engineering and MB.OS with the NVIDIA Hyperion compute and sensor architecture, Alpamayo Stack software and Halos safety system to accelerate the development of automated vehicles.

Mercedes-Benz and NVIDIA today announced that they will extend their strategic partnership to advance the next generation of automated driving systems. The collaboration brings together Mercedes-Benz’s automotive engineering and safety expertise and its MB.OS operating system with NVIDIA’s accelerated computing and AI technologies.

“NVIDIA is our most important strategic partner in automated driving. Together, we developed the first Mercedes-Benz assistance system for urban point-to-point driving for the western world,” Jörg Burzer, member of the board of management of Mercedes‑Benz Group AG and chief technology officer, development and procurement. “The expansion of our partnership marks a significant milestone and reflects the mutual trust we have built over the years. Together, we aim to bring further pioneering innovations to the road, offering our customers the best automated driving experience while upholding the high safety standards they expect from a Mercedes-Benz.”

“Accelerated computing is giving vehicles the intelligence to understand the world and reason through complex driving situations,” said Ali Kani, vice president of automotive at NVIDIA. “Mercedes-Benz brings the engineering excellence and commitment to safety this transformation demands. Together, we’re building on NVIDIA Hyperion to bring that intelligence and full-stack safety to the road and make autonomous driving an everyday reality.”

Mercedes-Benz’s MB.OS operating system supports new driving functions and over-the-air updates, working with NVIDIA Hyperion’s in-vehicle computing and sensor architecture. NVIDIA Alpamayo Stack provides full-stack driving software with AI reasoning capabilities, supporting point-to-point urban assistance, active safety and automated parking. NVIDIA Halos adds to the Mercedes-Benz safety foundation, including a parallel safety stack that adds redundancy and guardrails. Together, these technologies support advanced driver assistance and the development of future SAE-Level 4 applications, including robolimousines.

Beyond automated driving, Mercedes-Benz also relies on NVIDIA technologies for vehicle engineering simulation and within MO360, its digital production ecosystem — from virtual planning to AI-based applications. The two partners are working to further enhance efficiency, flexibility and quality across the global production network.

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Volvo Cars and NVIDIA Expand Partnership to Advance Safe Automated Driving

Thu, 15 Oct 2026 17:30:00 GMT

Volvo Cars today announced it is expanding its partnership with NVIDIA to unlock new levels of safety in automated driving technology in future cars from Volvo, building on the companies’ decade-long collaboration.

Guided by Volvo Cars’ pioneering safety knowledge and powered by the NVIDIA Hyperion sensor and compute architecture, the technology will enable future Volvo cars to safely navigate complex real-world environments from door to door. This includes everything from highways and busy urban streets to parking scenarios.

The technology will make its debut in a next-generation Volvo car as part of the company’s recently announced largest-ever product push.

Volvo Cars will combine its industry-leading vehicle safety systems and engineering expertise with NVIDIA’s AI and accelerated computing technologies. These include the Hyperion sensor and compute architecture, Halos OS, and Alpamayo Stack driving software.

Together, the companies will raise the bar for AI-enabled car safety while making driving feel easier and more effortless for customers, with a gradual introduction of eyes-off and mind-off driving.

Volvo Cars brings nearly a century of real-world safety research and its human-centric approach to this development. The ambition is to set a new benchmark for automated driving that is safe, convenient and worthy of customer trust.

“Volvo has been synonymous with car safety for almost 100 years,” said Håkan Samuelsson, president and CEO of Volvo Cars. “By working with NVIDIA, we bring together two distinct strengths: industry-leading safety knowledge and world-class AI technology. That combination gives us a unique opportunity to create safer and more attractive cars for our customers.”

“Accelerated computing has transformed the car into an intelligent machine that can understand the world around it,” said Jensen Huang, founder and CEO of NVIDIA. “Volvo has spent nearly a century protecting people on the road. Together, we’re combining Volvo’s extraordinary vehicle safety systems with NVIDIA Hyperion and Halos to build a new generation of cars that make driving safer and more effortless.”

This expanded partnership marks another milestone in the companies’ long-standing collaboration, which began in 2017. Volvo Cars is bringing the industry’s most advanced computing capabilities into its next generation of electric cars, establishing it as a leader in software-defined cars.

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

Shreevar Rastogi — Thu, 15 Oct 2026 17:00:23 GMT

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 […]

Adobe and NVIDIA Expand Collaboration to Speed Agentic Creation

Thu, 15 Oct 2026 17:00:00 GMT

News Summary:

Adobe is expanding its collaboration with NVIDIA to optimize its flagship tools including Adobe Photoshop, Premiere, Substance 3D, Frame.io and Brand Concierge, delivering faster AI-powered creation, production and personalization.
Adobe is bringing the power of the NVIDIA RTX Spark superchip to its agentic creative applications Photoshop, Premiere and Substance 3D. Optimized to take full advantage of RTX Spark, these applications deliver up to 2x faster AI processing, editing, color and effects, helping creatives iterate faster and stay in their creative flow.
Adobe Brand Concierge is now optimized with NVIDIA Nemotron open models, providing enterprises a flexible and efficient way to deliver high-quality conversational experiences at scale, with NVIDIA also selecting Brand Concierge to power relevant and contextual customer interactions on NVIDIA.com.

Adobe (Nasdaq: ADBE), the global technology leader that unleashes creativity, productivity and customer experiences through innovative tools and platforms, and NVIDIA today announced an expansion of their partnership to optimize Adobe’s flagship tools including Adobe Photoshop, Premiere, Substance 3D, Frame.io and Brand Concierge, delivering faster AI-powered creation, production and personalization.

This work builds on Adobe and NVIDIA’s strategic partnership announced in March, which brings together Adobe’s creative and marketing workflows, models and technology with NVIDIA’s open models, libraries, research and accelerated computing to accelerate creative, production and marketing workflows across video, images, 3D and other creative media. That collaboration includes GPU acceleration for media ingestion and intelligence in Frame.io, as well as ongoing work around Adobe Substance 3D, Adobe Firefly Foundry and 3D digital twin workflows for enterprise customers.

“Creative workflows are more multimodal than ever, with many projects spanning images, video, audio, motion and 3D, making performance critical to helping creatives stay focused on their ideas and craft,” said Deepa Subramaniam, vice president, product marketing, creative professionals, Adobe. “By partnering with NVIDIA to optimize Photoshop, Premiere and Substance 3D for RTX Spark and accelerating Frame.io in the cloud, we’re delivering the performance creatives need to bring their ideas to life.”

“AI agents are helping creators unlock deeper and richer workflows using the Adobe applications they know and love,” said Jason Paul, vice president, local AI, NVIDIA. “Powered by RTX Spark, Adobe’s optimized tools deliver up to 2x faster performance to accelerate these new workflows.”

Empowering Creatives With Faster Adobe Tools Rearchitected With NVIDIA
Creative professionals today move between image, video, motion and 3D, sometimes all within the same project. As AI increasingly becomes part of the creative process, they need technology that keeps pace with the speed of their ideas and the complexity of their workflows. As an industry leader in creativity, Adobe’s tools apply decades of creative expertise to amplify human potential and make it easier to quickly turn ideas into impactful work.

Adobe is bringing the power of the NVIDIA RTX Spark superchip, launching tomorrow, Oct. 16, to its agentic creative applications Photoshop, Premiere and Substance 3D. RTX-accelerated and optimized to take full advantage of RTX Spark’s unified memory and AI compute, these applications deliver up to 2x faster AI processing, editing, color and effects, helping creatives iterate faster and stay in their creative flow.

Adobe rearchitected Photoshop around GPU-accelerated compositing to be faster and more responsive for creative tasks from removing distractions with the Remove Tool to applying effects like Gaussian Blur and Light Leaks directly on canvas.

Some of the most demanding post-production workflows in Premiere, from playback and rendering to effects, color and AI-powered tools, are RTX-accelerated and optimized for RTX Spark. This results in real, tangible speed gains for popular audio and video features in Premiere like Enhance Speech and Object Mask. For 3D artists using Substance 3D Painter, RTX Spark speeds up the heaviest steps around texturing.

Accelerating Cloud Video Workflows With Frame.io and NVIDIA
Adobe is also using NVIDIA accelerated computing to speed cloud media processing and intelligent content discovery for Adobe Frame.io, helping production teams find and use growing media libraries faster. The updated Frame.io pipeline uses NVIDIA video acceleration, including NVIDIA NVDEC for hardware-accelerated decoding and NVIDIA TensorRT™ with CUDA^® for content preprocessing and embedding generation.

Moving compute-intensive video decoding, preprocessing and embedding generation onto NVIDIA GPUs lets Frame.io process media faster and make it searchable sooner, while supporting more responsive discovery across large content libraries.

Early performance results from selected Frame.io transcode and search workloads show:

Approximately 5x faster embedding generation
4-5x improvement in P95 processing latency
An approximately 80% smaller search proxy

For creative teams, these gains mean uploaded content becomes searchable sooner, larger libraries refresh more efficiently, and discovery and review stay frictionless as media volumes grow.

Personalized Conversational Experiences With Adobe Brand Concierge Optimized on NVIDIA Nemotron
Brands also want more choice and value from the AI models powering personalized experiences. Open models can help meet that need, providing a flexible and efficient way to deliver high-quality, responsive conversations at enterprise scale.

Adobe and NVIDIA worked together to optimize Brand Concierge using NVIDIA Nemotron™ open models. This version will be available to enterprise customers later this year.

NVIDIA has also selected Brand Concierge to drive personalized conversational experiences grounded in organizational data and content. This enables NVIDIA to tailor interactions on their website based on customer needs, while leveraging Nemotron to deliver fast, high-quality responses at scale.

Sparking Creativity, to the MAX
Get ready for what’s next — with three days of creative skill-building, visionary keynotes and valuable connections at Adobe MAX, running Nov. 10-12. Adobe and NVIDIA will showcase the latest advancements for creators alongside their hardware partners.

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

Kari Briski — Thu, 15 Oct 2026 15:00:24 GMT

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 […]

Dial Up the Cloud: NVIDIA DLSS 4.5 Controls Arrive on GeForce NOW

GeForce NOW Community — Thu, 15 Oct 2026 13:00:59 GMT

Dial in the next gaming session this GFN Thursday. New NVIDIA DLSS 4.5 controls give GeForce NOW members more choice over how supported games look and perform in the cloud, even without the latest hardware. Then, step into the Shroud as Keen Games’ Enshrouded leaves early access with its 1.0 release, or let the bolts […]

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

Rod Evans — Thu, 15 Oct 2026 10:00:12 GMT

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: […]

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

Linda Malm — Thu, 15 Oct 2026 05:00:12 GMT

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 […]

NVIDIA and Semiconductor Leaders Advance AI Across Chip Design and Manufacturing for AI-Defined Fabs

Wed, 14 Oct 2026 16:10:00 GMT

News Summary:

NVIDIA introduces cuPotential, a new NVIDIA CUDA-X library developers can use to build AI agents that simulate how atoms and molecules interact, accelerating already GPU-optimized workflows by an additional 2-3x in early-access testing.
NanoVDB, an open source library for working with 3D data, accelerates chipmaking simulation for AI-defined fabs, helping Lam Research achieve 30x faster simulation.
NVIDIA NPP, a library for processing images on GPUs, accelerates chipmaking inspection for AI-defined fabs, helping KLA accelerate inspection.
Applied Materials, Cadence, KLA, Lam Research, Siemens, Synopsys and other semiconductor leaders are using NVIDIA’s accelerated computing and AI stack across chip design, manufacturing and testing, helping drive faster development, better yield and greater production capacity.

NVIDIA today announced semiconductor leaders are adopting NVIDIA CUDA-X™ libraries — including the new NVIDIA cuPotential library, which developers can use to build AI agents that simulate how atoms and molecules interact — to advance AI-defined fabs.

AI-defined fabs are semiconductor factories where AI helps engineers optimize processes, solve production issues and improve production efficiency. As demand for advanced chips rises, such fabs must expand production while managing increasingly complex manufacturing processes. Engineers need new ways to model materials, analyze inspection data and test process changes in digital twins before applying them in production.

The expanded CUDA-X portfolio gives AI agents and engineering applications accelerated tools for semiconductor simulation, 3D data processing and image analysis, helping automate more engineering work across chip design and manufacturing so fabs can predict process behavior and improve yield.

“The semiconductor industry made the AI revolution possible. Now, AI is transforming how chips are built,” said Tim Costa, vice president and general manager of industrial and computational engineering at NVIDIA. “As fabs race to meet demand for advanced chips, NVIDIA CUDA-X and Omniverse libraries give AI agents accelerated simulation and inspection tools to help engineers manage complexity, improve yield and advance AI-defined fabs.”

NVIDIA cuPotential Accelerates How Researchers Model Atomic Interactions
Understanding how atoms and molecules interact is critical to modeling semiconductor materials and manufacturing processes, but these calculations can take significant amounts of time, even in software already optimized for GPUs.

NVIDIA cuPotential accelerates atomic-scale simulation with specialized GPU-accelerated functions developers can add to existing software. It helps researchers model electrical forces and other interactions across large numbers of atoms to test and refine simulations faster. Synopsys is among the early adopters using cuPotential to accelerate materials simulations.

By making these modeling capabilities available to AI agents, cuPotential helps agents run, evaluate and iterate on advanced molecular simulations. In early-access testing, the library accelerated already GPU-optimized workflows by an additional 2-3x.

Semiconductor Leaders Advance AI-Defined Fabs With NVIDIA CUDA-X
AI-defined fabs require faster ways to model chip designs, materials behavior and manufacturing processes before changes reach production. NVIDIA CUDA-X libraries — including NVIDIA cuPotential for simulating atomic interactions, NVIDIA cuEST for modeling electronic behavior and NVIDIA cuDSS for solving complex engineering simulations — accelerate these workloads to help make fabs more autonomous.

Synopsys is using cuPotential, cuEST and cuDSS to accelerate semiconductor simulations, with early QuantumATK results showing a potential 30x speedup using cuEST, and S-Device benchmarks showing a 12x speedup using cuDSS. The company’s AgentEngineer solutions interoperate with NVIDIA Nemotron™ open models and NVIDIA NeMo™ to support AI agents for chip design and verification.

Cadence is using NVIDIA accelerated computing, NVIDIA Nemotron open models and CUDA-X libraries to bring agentic AI to the design and simulation of electromechanical systems — from semiconductors to advanced packaging and printed circuit boards. Examples include Cadence AuraStack AI Super Agent optimizing advanced packages for heat and stress 8x faster using cuDSS with Cadence Celsius, and Nemotron with ChipStack AI Super Agent for semiconductor design and verification.

COMSOL is accelerating semiconductor multiphysics simulations with NVIDIA cuDSS, delivering up to 10x faster simulations to help engineers optimize equipment and processes. Its upcoming COMSOL MCP Server will use the NVIDIA Nemotron Ultra open model to enable AI-assisted modeling and design exploration.

Voltai accelerates advanced chip packaging with Voltaire, its agentic multiphysics platform for 3D-IC design and simulation. Voltaire combines AI agents with GPU-accelerated solvers powered by NVIDIA cuDSS and CUDA-X libraries, compressing complex electro-thermal-mechanical simulation workflows from months to a day.

ChipAgents uses NVIDIA AI infrastructure and NVIDIA model-training and optimization software to develop specialized AI models for chip design. The company is also working with NVIDIA to develop Build-A-Chip Bench, a new AI benchmark that evaluates agents across end-to-end workflows from specification to graphic data system. The benchmark gives the industry a comprehensive measure of progress toward fully autonomous semiconductor engineering.

NVIDIA Open Libraries Help Prepare and Optimize Manufacturing Workflows
Fabs depend on thousands of process steps that must be modeled, refined and validated before production. The NVIDIA cuLitho library accelerates calculations for printing chip patterns; NanoVDB — an open source library for working with 3D data — accelerates chipmaking simulations; and the open NVIDIA PhysicsNeMo™ framework helps train physics AI models to predict how physical systems behave.

Siemens is using cuLitho to speed up Calibre software for chip-pattern refinement and mask preparation. Its Solido team is also developing agent-driven characterization workflows with Nemotron open models and NVIDIA NeMo open libraries.

Lam Research intends to integrate NanoVDB into its advanced semiconductor process modeling platform SEMulator3D, part of the company’s Semiverse Solutions family of virtual products. The addition of NanoVDB is expected to accelerate select wafer-etch modeling by up to 30x, while using NVIDIA PhysicsNeMo has been demonstrated to assist in reducing plasma-prediction simulation time to as little as milliseconds instead of days.

Luminary is applying NVIDIA PhysicsNeMo to semiconductor package design, training physics AI models to predict temperature, pressure drop and thermal stress across package configurations — enabling engineers to explore 100x more designs in the same schedule without running a new simulation for every option.

AI-Defined Fabs Inspect and Test Chips With NVIDIA CUDA-X Libraries
AI-defined fabs need to analyze inspection images and test data quickly enough to catch defects, maintain equipment and improve yield. NVIDIA NPP, a library for processing images on GPUs, and NVIDIA RAPIDS cuDF, a library for processing large datasets on GPUs, help accelerate test and quality-control workflows.

Using NVIDIA AI and accelerated computing, imec is removing noise from scanning electron microscope images used for sub-nanometer chip measurements and using NVIDIA cuLitho to enable computationally intensive process-window optical proximity correction — achieving a 30% improvement in the lithography process window.

KLA applied insights from its highly optimized production kernels to a new NPP NCC kernel that achieved performance levels 50x faster than earlier CPU versions, comparable with KLA’s hand-tuned implementations.

Teradyne is using NVIDIA NPP and accelerated computing to accelerate image-sensor testing, and RAPIDS cuDF and CuPy for GPU calculations, to deliver approximately 85x faster probe-maintenance inference, helping identify degrading probes before they affect yield.

Advantest has integrated NVIDIA Nemotron and NVIDIA Kumo-Anomaly into ACS RTDI to enable AI-driven semiconductor production analytics. Powered by NVIDIA Grace Blackwell systems, ACS delivers real-time diagnostics and inferencing that recommend corrective actions for test cells. Advantest is also using NVIDIA NeMo Switchyard AI agents to automate model selection, streamline semiconductor test workflows and reduce response times from hours to minutes.

NVIDIA Technologies Advance Fab Operations and Automation
In an AI-defined fab, equipment data must move from instruments into AI systems fast enough to support operational decisions.

Applied Materials is using NVIDIA Omniverse™ and NVIDIA CUDA-X libraries, including cuDSS, cuEST and PhysicsNeMo, across materials discovery, process development and fab optimization — enabling up to 35x faster chamber simulations and fab digital twins that help optimize layouts and material flow.

Analog Devices Inc. is combining Synopsys physics simulation with the NVIDIA Isaac Sim™ framework and Omniverse libraries to develop high-fidelity sensing simulations and robotic benchmarks, helping engineers evaluate how sensors behave within complete robotic systems.

FANUC and Foxconn are connecting their robot models to the Mega NVIDIA Omniverse Blueprint, enabling manufacturers to simulate and validate robotic operations in factory digital twins before physical deployment.

OMRON is using NVIDIA Cosmos™ open world models and the NVIDIA Metropolis Blueprint for video search and summarization in its inspection equipment to develop agents that combine visual data, equipment documentation and manufacturing knowledge. These agents help engineers analyze printed circuit board results, investigate potential defect causes, and support troubleshooting and quality control.

Availability
NVIDIA cuPotential is available in early access. NanoVDB is available as open source within OpenVDB, and NPP is available through NVIDIA CUDA Toolkit. Lam Research’s NanoVDB-accelerated SEMulator3D capability is targeted for release by the end of this year.

Learn more by joining NVIDIA at SEMICON West.

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

Anthony Hills — Wed, 14 Oct 2026 06:04:15 GMT

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 […]

NVIDIA Commits $250 Million to Advance UK Agentic Safety and Security Research Over the Next Five Years

Wed, 14 Oct 2026 06:01:00 GMT

News Summary:

NVIDIA announces a compute donation valued at $250 million over five years to support U.K. agentic safety and security research.
The program will support the wider U.K. research community, with a proportion of the commitment supporting BOLD, SOFAIR and Imperial College London across fundamental agentic foundation models and robotics safety.
Compute access will be delivered through U.K.-based NVIDIA Cloud Partners, supporting the nation’s research capability and compute ecosystem.

NVIDIA today announced a five-year compute donation valued at $250 million to strengthen the United Kingdom’s agentic safety and security research capability.

The commitment will provide $50 million in compute access annually to support agentic safety and security research across the U.K. The majority will support the wider U.K. AI safety and security research community, with a proportion supporting work with the British Open-Ended Learning and Discovery Lab (BOLD), the Science of Fundamental AI Research Lab (SOFAIR) and Imperial College London.

“AI capability and safety must advance together,” said Jensen Huang, founder and CEO of NVIDIA. “The U.K. brings world-class scientific rigor to this essential engineering challenge. With this $250 million commitment, NVIDIA will put accelerated computing in the hands of U.K. researchers to develop, test and strengthen safeguards for increasingly powerful AI. This is how the U.K. turns research leadership into real-world solutions — and scientific progress into a future that benefits everyone.”

“This commitment is a vote of confidence in our world-leading strength and expertise in AI research — and, in particular, frontier AI safety that is becoming ever more important as AI’s capabilities develop,” said U.K. AI Minister Kanishka Narayan. “NVIDIA’s donation will help Britain’s AI innovators access the resources they need to bring their ideas to life — and, in the process, help build a distinctly British AI future that is safe, secure and that serves people’s best interests, objectives that will be central to the U.K.’s G20 presidency.”

“To realise the opportunities of AI, people need to feel the technology is safe and secure. The government is committed to ensuring AI can be securely harnessed to fuel new discoveries and drive growth,“ said U.K. Business Secretary Jonathan Reynolds. “NVIDIA’s investment will help British researchers continue to lead the world in that effort — accelerating the breakthroughs that build trust and help us deploy AI safely.”

Strengthening UK Leadership in Agentic Safety and Security
Compute provided through the initiative will be dedicated to agentic safety and security research.

The program will connect complementary areas of U.K. research, including in AI safety and security. BOLD, led by the University of Oxford, is developing approaches that help AI systems learn, adapt and operate alongside people. SOFAIR, led by UCL, is exploring new open source AI architectures and more accessible ways to develop and deploy AI. Imperial’s work will include safety engineering and robotics.

“We are experiencing a critical moment where AI safety as an afterthought is no longer appropriate for the open-ended, evolving world,” said Jakob Foerster, founding director of BOLD. “This compute will help us explore transparent and human-centric approaches to AI that allow us to collectively rise to the challenge by building in governance and human-AI co-improvement from the ground up.”

“The next frontier of artificial intelligence is physical — robots, autonomous systems of agents that perceive, reason and act in the real world,” said Alessandra Russo, director of Imperial Frontier AI Research Lab and convening co-director of Human and AI, School of Convergence Science. “With NVIDIA and our industry partners, Imperial is working to ensure that safety and assurance is at the heart of this revolution, ensuring the U.K. leads not only in developing physical AI but in making it trustworthy for the communities and industries that will depend on it.”

NVIDIA will fund compute access through U.K.-based NVIDIA Cloud Partners, with infrastructure hosted in the U.K. This will support the U.K. compute ecosystem and provide a domestic platform for research. Provider selection, technical architecture and commercial terms are to be agreed.

As part of the wider initiative, research programs will focus on secure agents, open-model security and real-world threat mitigations. The work will support secure sandboxes, reproducible research and safety assessment benchmarks, including research conducted using NVIDIA OpenShell™ open, secure runtime software and the NVIDIA Sentry reference design. Findings are intended to inform safeguards across the wider computing ecosystem.

The commitment builds on NVIDIA’s collaboration with the U.K.’s research community, including on the University of Bristol’s Isambard-AI supercomputer, powered by NVIDIA Grace Hopper Superchips.

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

Charbel Aoun — Wed, 14 Oct 2026 06:00:28 GMT

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 […]

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

Gerardo Delgado — Tue, 13 Oct 2026 12:00:49 GMT

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 […]

NVIDIA Lands in Europe for GTC Berlin

NVIDIA Writers — Tue, 13 Oct 2026 05:13:00 GMT

NVIDIA is in Europe, showcasing the future of technology together with the region’s developers, researchers and industry leaders.