NVIDIA Newsroom

National Robotics Week — Latest Physical AI Research, Breakthroughs and Resources

NVIDIA Writers — Sat, 04 Apr 2026 17:00:59 GMT

This National Robotics Week, NVIDIA is highlighting the breakthroughs that are bringing AI into the physical world — as well as the growing wave of robots transforming industries, from agricultural and manufacturing to energy and beyond. Advancements in robot learning, simulation and foundation models are accelerating development, enabling robots to move from training in virtual […]

From RTX to Spark: NVIDIA Accelerates Gemma 4 for Local Agentic AI

Michael Fukuyama — Thu, 02 Apr 2026 16:15:00 GMT

Open models are driving a new wave of on-device AI, extending innovation beyond the cloud to everyday devices. As these models advance, their value increasingly depends on access to local, real-time context that can turn meaningful insights into action. Designed for this shift, Google’s latest additions to the Gemma 4 family introduce a class of small, fast and omni-capable models built for efficient local execution across a wide range […]

Press Start on April: GeForce NOW Brings 10 Games to the Cloud

GeForce NOW Community — Thu, 02 Apr 2026 13:00:09 GMT

No joke — GFN Thursday is skipping the tricks and heading straight into the games. April kicks off with ten new titles, bringing fresh adventures to GeForce NOW, including the launch of Capcom’s highly anticipated PRAGMATA. A dozen new games are available to stream this week, including Arknights: Endfield, which expands the acclaimed series into a full […]

Efficiency at Scale: NVIDIA, Energy Leaders Accelerating Power‑Flexible AI Factories to Fortify the Grid

Vladimir Troy — Tue, 31 Mar 2026 15:00:51 GMT

CERAWeek — dubbed the Davos of energy — is where policymakers, producers, technologists and financiers gather to discuss how the world powers itself next. NVIDIA and Emerald AI unveiled at the conference last week a new way forward — treating AI factories not as static power loads but as flexible, intelligent grid assets. This collaboration […]

NVIDIA AI Ecosystem Expands as Marvell Joins Forces Through NVLink Fusion

Tue, 31 Mar 2026 12:00:00 GMT

NVIDIA and Marvell Technology, Inc. (NASDAQ: MRVL) today announced a strategic partnership to connect Marvell to the NVIDIA AI factory and AI-RAN ecosystem through NVIDIA NVLink Fusion™, offering customers building on NVIDIA architectures greater choice and flexibility in developing next-generation infrastructure. The companies will also collaborate on silicon photonics technology.

In addition, NVIDIA has invested $2 billion in Marvell.

The partnership builds on NVIDIA NVLink Fusion, a rack-scale platform that enables customers to develop semi-custom AI infrastructure using the NVIDIA NVLink™ ecosystem. Marvell will provide custom XPUs and NVLink Fusion-compatible scale-up networking, while NVIDIA will provide the supporting technologies, including Vera CPU, ConnectX^® NICs, BlueField^® DPUs, NVLink interconnect and Spectrum-X™ switches, and the rack-scale AI compute.

For customers developing custom XPUs, NVLink Fusion enables a heterogeneous AI infrastructure fully compatible with NVIDIA systems, allowing seamless integration with NVIDIA GPU, LPU, networking and storage platforms while leveraging NVIDIA’s rich technology stack global supply chain ecosystem.

The companies will also partner to transform the world’s telecommunication network into AI infrastructure with NVIDIA Aerial AI-RAN for 5G/6G, and advance world-class networking for AI, including advanced optical interconnect solutions and silicon photonics technology.

“The inference inflection has arrived. Token generation demand is surging, and the world is racing to build AI factories,” said Jensen Huang, founder and CEO of NVIDIA. “Together with Marvell, we are enabling customers to leverage NVIDIA’s AI infrastructure ecosystem and scale to build specialized AI compute.”

“Our expanded partnership with NVIDIA reflects the growing importance of high-speed connectivity, optical interconnect and accelerated infrastructure in scaling AI,” said Matt Murphy, chairman and CEO of Marvell. “By connecting Marvell’s leadership in high-performance analog, optical DSP, silicon photonics and custom silicon to NVIDIA’s expanding AI ecosystem through NVLink Fusion, we are enabling customers to build scalable, efficient AI infrastructure.”

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Into the Omniverse: NVIDIA GTC Showcases Virtual Worlds Powering the Physical AI Era

Heather McDiarmid — Thu, 26 Mar 2026 15:00:56 GMT

Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. NVIDIA GTC last week showcased a turning point in physical AI: Robots, vehicles and factories are scaling from single use cases and […]

Game On: Five New Titles Now Streaming on GeForce NOW

GeForce NOW Community — Thu, 26 Mar 2026 13:00:00 GMT

That gaming backlog won’t clear itself — GeForce NOW is here to help. Stream the latest titles straight from the cloud across a variety of devices. This week, five new titles are ready to play instantly in the cloud gaming platform’s library. Screamer drifts onto the scene with retro‑racing attitude and pixel‑perfect speed. Plus, Honkai: Star Rail Version […]

The Future of AI Is Open and Proprietary

Kari Briski — Wed, 25 Mar 2026 19:00:04 GMT

AI is the defining technology of our time, quickly becoming core business infrastructure. It’s fueled by a diverse ecosystem of models: large and small, open and proprietary, generalist and specialist. This variety is essential for a future where every application will be powered by AI, every country will build it and every company will use […]

Blowing Off Steam: How Power-Flexible AI Factories Can Stabilize the Global Energy Grid

Josh Parker — Wed, 25 Mar 2026 11:00:00 GMT

At the half-time whistle of the UEFA EURO 2020 round of 16 football match between England and Germany, millions of viewers stepped away from their screens in the U.K. to do the same thing at the same time — turn on their kettles. National Grid, which provides electricity for England and Wales, saw a demand […]

Advancing Open Source AI, NVIDIA Donates Dynamic Resource Allocation Driver for GPUs to Kubernetes Community

Justin Boitano — Tue, 24 Mar 2026 08:00:12 GMT

Artificial intelligence has rapidly emerged as one of the most critical workloads in modern computing. For the vast majority of enterprises, this workload runs on Kubernetes, an open source platform that automates the deployment, scaling and management of containerized applications. To help the global developer community manage high-performance AI infrastructure with greater transparency and efficiency, […]

How Autonomous AI Agents Become Secure by Design With NVIDIA OpenShell

Ali Golshan — Mon, 23 Mar 2026 15:00:03 GMT

Autonomous agents mark a new inflection point in AI. Systems are no longer limited to generating responses or reasoning through tasks. They can take action: Agents can read files, use tools, write and run code, and execute workflows across enterprise systems, all while expanding their own capabilities. Application-layer risk grows exponentially when agents continuously improve […]

NVIDIA and Emerald AI Join Leading Energy Companies to Pioneer Flexible AI Factories as Grid Assets

Mon, 23 Mar 2026 11:00:00 GMT

CERAWeek 2026—NVIDIA and Emerald AI today announced that they are working with AES, Constellation, Invenergy, NextEra Energy, Nscale Energy & Power and Vistra to power and advance a new class of AI factories that connect to the grid faster, generate valuable AI tokens and intelligence, and operate as flexible energy assets that can support the grid.

By bringing together technology, energy and infrastructure leaders, the collaboration demonstrates how companies across industries can convene to support AI innovation in the United States, while building a more reliable power system for Americans.

These next-generation AI factories will harness the new NVIDIA Vera Rubin DSX AI Factory reference design, which includes the DSX Flex software library for connecting AI factories to power-grid services.

For accelerated deployment, the factories can use co-located energy generation and storage as bridge power for hybrid AI factories, then later harness these resources to flexibly supply the grid, accelerate AI factory interconnection and support the broader power system. This approach helps bring AI capacity online faster while creating broader value for customers and communities.

The DSX reference architecture can also support flexible AI factories without co-located energy resources to achieve larger and faster power grid connections.

Emerald AI’s Conductor platform will orchestrate computational flexibility alongside onsite generation, batteries and other behind-the-meter resources to deliver precise, grid-responsive power flexibility while ensuring quality of service for AI compute tenants. This coordination helps operators meet power targets, protect priority workloads, shorten time on bridge power, and support larger and faster interconnections. It can also help reduce the need for infrastructure to be sized around peaks, easing pressure on future system costs.

“AI factories are the engines of the intelligence era, and like any great engine, every system must be designed together — energy, compute, networking and cooling as one architecture,” said Jensen Huang, founder and CEO of NVIDIA. “NVIDIA and Emerald AI are working together to enable a future for AI where performance, efficiency and grid responsiveness can be tapped into immediately.”

“AI factories are too valuable to be treated as either passive loads or permanent islands,” said Varun Sivaram, founder and CEO of Emerald AI. “They produce tremendously valuable AI tokens and knowledge, and with DSX Flex, they can also provide measurable relief back to the grid. Emerald Conductor orchestrates compute flexibility alongside onsite energy resources to support the grid, so projects can connect sooner, preserve quality of service for AI tenants and ultimately strengthen the power system around them.”

Building AI Factories That Strengthen the Grid
Today’s electric systems are built to serve peak demand but are underutilized during most hours of the day. Power-flexible AI factories can help unlock up to 100 gigawatts of capacity across the U.S. power system by combining optimized infrastructure design with efficient use of existing assets and, where needed, new-build generation, while flexing during limited periods of grid stress to reduce the need for broader grid expansion to support reliability.

AI factories convert electricity into AI tokens, models and intelligence — among the highest-value outputs modern infrastructure can produce. Meeting that opportunity will require innovation in computing as well as in how companies plan, build and operate energy infrastructure.

Many gigawatt-scale AI projects are turning to co-located generation and storage because conventional interconnection timelines can be too slow for the pace of AI investment. However, permanently isolating generation and storage from the grid has drawbacks. It can leave assets underutilized, raise long-term cost per AI token and prevent energy resources from supporting grid reliability.

AES, Constellation, Invenergy, NextEra Energy, Nscale Energy & Power and Vistra are committed to building the energy generation capabilities necessary to ensure supply meets surging demand.

The companies will collaborate to evaluate optimized generation applications designed to power the AI factories built with the architecture developed by NVIDIA and Emerald AI, including through hybrid projects that use co-located power, to speed time to power and create value for the broader grid. By pairing large AI loads with flexible operations, new energy generation capabilities and intelligent controls, this approach can help boost grid reliability.

The companies can also support flexible AI factories that are grid-connected from the outset, using co-located energy resources if available.

“Grid flexibility will be key to addressing AI’s unprecedented demand while supporting system reliability,” said Andrés Gluski, CEO of AES. “At AES, we are enabling next-generation AI infrastructure to accelerate our clients’ time to power. DSX Flex embeds flexibility from the outset, allowing AI infrastructure to operate as a grid asset that supports faster, more efficient growth.”

“As the largest producer of clean energy in the U.S., we know data centers have enormous potential to unlock energy infrastructure investment, job creation and benefits for our communities,” said Joe Dominguez, president and CEO of Constellation. “They can also address the need for additional capacity through demand response. We don’t have a supply problem — we have a peak problem. By effectively using what we already have, including power-flexible AI factories that also enable AI-powered demand response, we can accommodate new load growth more efficiently.”

“AI is changing how we’re thinking about energy, and our customers need power fast, with the ability to scale over time,” said Michael Polsky, founder and CEO of Invenergy. “Combining near-term generation solutions with a path to full grid connection and flexible operations is an innovative and efficient way to help our customers meet their energy needs faster while keeping the system reliable.”

“To meet unprecedented new electricity demand while maintaining a reliable and resilient grid, now more than ever, we need to add generation resources,” said John Ketchum, chairman, president and CEO of NextEra Energy. “We also need technologies that allow new demand and related generation to integrate into the grid quickly and at the lowest possible cost. NextEra looks forward to working with NVIDIA and Emerald AI to help design efficient energy campuses and flexible AI factories that economically support rising demand while further strengthening America’s energy infrastructure.”

“We are committed to stabilizing the grid and helping West Virginia families and businesses have ready access to the power they need,” said Daniel Shapiro, chief power and energy officer of Nscale Energy & Power. “When we’re interconnected, we’ll be there on the grid’s highest-demand days to supply electricity back — that’s what 2 gigawatts scaling to 8 gigawatts of onsite generation means. Nscale’s Monarch campus is a power asset for West Virginia, not a load on it.”

“U.S. grids are designed to handle the highest-peak demand scenarios, which make up very few hours during the year,” said Jim Burke, president and CEO of Vistra. “AI factories that have the flexibility to adjust their power use with grid conditions are a faster solution, especially with co-located generation, for better utilization of the current grid infrastructure. This helps boost speed while we continue to build out more infrastructure for the long term.”

Over the last year, Emerald AI and NVIDIA trialed AI power flexibility demonstrations at five commercial data centers around the world. DSX Flex is expected to be deployed at commercial scale later this year at the NVIDIA AI Factory Research Center in Virginia, planned as one of the world’s first power-flexible AI factories with NVIDIA Vera Rubin infrastructure.

The companies intend to identify and advance project opportunities built using the Vera Rubin DSX reference design with DSX Flex to accelerate large-scale AI infrastructure deployment, support larger and faster grid interconnections, unlock technology pathways for new generation builds, expand the economic benefits of AI and energy investment for local communities, strengthen U.S. energy leadership and enable broader AI deployment over time.
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NVIDIA's CEO Projects $1 Trillion in AI Chip Sales as New Computing Era Begins

Fri, 20 Mar 2026 17:30:00 GMT

Wall Street Journal

NVIDIA CEO: We Have the Most Energy Efficient Architecture in the World

Fri, 20 Mar 2026 17:29:00 GMT

CNBC

An Interview with NVIDIA CEO Jensen Huang About Accelerated Computing

Fri, 20 Mar 2026 17:27:00 GMT

Stratechery

NVIDIA GTC 2026: Live Updates on What’s Next in AI

Fri, 20 Mar 2026 04:26:00 GMT

Rolling coverage from San Jose, including NVIDIA CEO Jensen Huang’s keynote, breakout highlights, live demos and on‑the‑ground color through March 19.

Smooth Moves: 90 Frames-Per-Second Virtual Reality Arrives on GeForce NOW

GeForce NOW Community — Thu, 19 Mar 2026 13:00:09 GMT

It’s a double feature on GFN Thursday. This week, GeForce NOW offers smoother sights in virtual reality (VR) and a sprawling new land to conquer. Streaming at 90 frames per second (fps) comes to supported VR headsets. And Crimson Desert, which recently surpassed 3 million wishlist additions on Steam, debuts in the cloud with GeForce […]

From Simulation to Production: How to Build Robots With AI

Katie Washabaugh — Wed, 18 Mar 2026 13:00:13 GMT

The latest open models and frameworks from NVIDIA bring together simulation, robot learning and embedded compute to accelerate cloud-to-robot workflows.

More Than Meets the Eye: NVIDIA RTX-Accelerated Computers Now Connect Directly to Apple Vision Pro

Richard Kerris — Tue, 17 Mar 2026 17:00:58 GMT

NVIDIA and Apple’s collaboration brings native integration of NVIDIA CloudXR 6.0 to visionOS, securely delivering NVIDIA RTX-powered simulators and professional 3D graphics applications — like Immersive for Autodesk VRED on Innoactive’s XR streaming solutions — to Apple Vision Pro.

NVIDIA, Telecom Leaders Build AI Grids to Optimize Inference on Distributed Networks

Kanika Atri — Tue, 17 Mar 2026 17:00:15 GMT

As AI‑native applications scale to more users, agents and devices, the telecommunications network is becoming the next frontier for distributing AI. At NVIDIA GTC 2026, leading operators in the U.S. and Asia showed that this shift is underway, announcing AI grids — geographically distributed and interconnected AI infrastructure — using their network footprint to power […]