News Releases - NVIDIA Newsroom

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

Tue, 27 Oct 2026 16:00:00 GMT

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Tue, 27 Oct 2026 05:52:00 GMT

News Summary:

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

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

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

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

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

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

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

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Kazakhstan Expands Compute for Its AI Future

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

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

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

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

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

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

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

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

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

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

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

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

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

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

How Companies Are Using NVIDIA DSX to Break the Power Bottleneck

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

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

NVIDIA Transforms European Retail, From Digital Discovery to Physical Operations

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

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

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

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

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

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

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

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

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

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

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

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

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

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

NVIDIA and Supply Chain Partners Expand Capacity to Accelerate AI Infrastructure Buildout

Wed, 21 Oct 2026 10:33:00 GMT

News Summary:

Substrate agreements with IBIDEN, Samsung Electro-Mechanics and Unimicron Technology Corporation will, in aggregate, drive a 2.5x increase in capacity over the next three years.
Amkor plans to increase its advanced packaging capacity by more than 300% by the end of 2028.
KYEC will build new facilities in the U.S., supported by a $1.1 billion capacity reservation advance from NVIDIA.
SPIL is targeting to increase its optical-engine capacity for co-packaged optics by 15x by mid-2027, with aims for another doubling by the end of 2028.

GTC Berlin—NVIDIA today announced plans with a group of supply chain partners to expand global manufacturing capacity to meet growing demand for its accelerated computing and full-stack AI factory platform.

Working with Amkor Technology, IBIDEN, King Yuan Electronics (KYEC), Samsung Electro-Mechanics, Siliconware Precision Industries (SPIL) and Unimicron Technology Corporation, NVIDIA is enabling new and existing suppliers to expand critical manufacturing capabilities across substrates, advanced packaging, testing and optical engines, strengthening the resiliency and redundancy of NVIDIA’s global supply chain.

“We are in the midst of the largest infrastructure buildout in human history. Demand is extraordinary. Capacity is the constraint,” said Jensen Huang, founder and CEO of NVIDIA. “Our supply chain partners are the world’s best manufacturers. I’m grateful they are expanding capacity around the globe to scale production and help us deliver the AI supercomputing systems powering this new industrial revolution.”

Expanding Substrate Capacity to Support Volume Growth
NVIDIA plans to increase substrate capacity for its products by 2.5x over the next three years. The agreements below will contribute to this capacity expansion, with more underway.

Under an agreement signed and announced earlier this year by IBIDEN, NVIDIA is providing a multibillion-dollar capacity reservation advance to support IBIDEN’s Ono Plant in Japan. The expansion targets capacity reaching 3x current levels at the plant, with additional capacity expected to begin ramping in the first quarter of 2028.

Samsung Electro-Mechanics is joining NVIDIA’s substrate supply chain, bringing immediate capacity from its existing operations in South Korea. The collaboration also supports facility upgrades and new factories in Sejong and Busan, South Korea. By 2028, production allocated to NVIDIA is projected to account for a significant portion of Samsung Electro-Mechanics’ total annual package substrate production capacity.

NVIDIA is supporting Unimicron’s KF substrate manufacturing expansion in Taiwan with a capacity reservation agreement. The expansion is expected to begin adding capacity in the second quarter of 2027 and reach full capacity by mid-2028.

Scaling Advanced Packaging for Next-Generation Platforms
NVIDIA and Amkor plan to expand advanced packaging capacity in South Korea, targeting a greater than 300% increase in interposer wafer capacity by the end of 2028. The planned capacity expansion, alongside Amkor’s development of new manufacturing facilities in South Korea, will support higher production volumes for NVIDIA’s current and next-generation platforms.

Expanding Semiconductor Testing and Strengthening US Manufacturing
NVIDIA expects its total semiconductor testing capacity to double from calendar 2026 to 2027, supported by buildouts in the U.S., Taiwan and Singapore.

NVIDIA’s $1.1 billion capacity reservation advance to KYEC will support new U.S. testing facilities and equipment, with high-volume production targeted for April 2027.

In Singapore, expanded testing operations are expected to begin high-volume production in February 2027.

Creating the Infrastructure for Co-Packaged Optics
NVIDIA and SPIL plan to expand manufacturing capacity in Taiwan for optical engines used in co-packaged optics, supporting the growing connectivity requirements of large-scale computing infrastructure. The expansion targets an increase of 15x by mid-2027, with aims for another doubling by the end of 2028.

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

Stuart Pitts — Wed, 21 Oct 2026 10:30:41 GMT

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 […]

Europe’s Industrial Leaders Reinvent Engineering and Manufacturing With NVIDIA

James McKenna — Wed, 21 Oct 2026 10:30:40 GMT

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 […]

NVIDIA cuDSS Now Generally Available to Accelerate Engineering and Scientific Simulations

Timothy Costa — Wed, 21 Oct 2026 10:30:25 GMT

NVIDIA cuDSS, launched today in general availability, is an NVIDIA CUDA-X library that shifts a critical part of engineering and scientific simulations onto GPUs. Complex engineering feats — from advanced chips to aircraft to industrial systems —– depend on simulation to predict how designs will perform before they’re built. As designs become more complex, simulations […]

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

John Fanelli — Wed, 21 Oct 2026 10:30:02 GMT

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 […]

NVIDIA Advances Isaac Platform for General-Purpose Robotics With New Reference Humanoid, Frameworks, Simulation Pipelines and Data

Wed, 21 Oct 2026 10:20:00 GMT

News Summary:

Agile Robots announces Agile ONE SN, a humanoid reference platform built on NVIDIA Isaac GR00T and NVIDIA Jetson Thor with planned integration of the NVIDIA Halos safety stack, giving developers and researchers a complete platform for frontier humanoid development and validation.
NVIDIA Isaac platform adds new Isaac OS runtime, Isaac Lab 3.0 for robot learning and open source reference workflows that combine ChatGPT Astra with NVIDIA Isaac and Cosmos on NVIDIA DGX Station to accelerate robot data generation, training and evaluation.
Europe’s robotics ecosystem, including leaders like ABB Robotics, Flexion, Hexagon Robotics, Humanoid, KUKA, NEURA Robotics, Sereact and Universal Robots, is building on NVIDIA’s open robotics platform to advance autonomous robotic systems.

GTC Berlin—NVIDIA today announced a major expansion of the NVIDIA Isaac™ open robotics development platform, adding a reference humanoid, datasets and runtime, along with updates to its robot learning framework.

Together, these technologies give developers an integrated path from data to deployment to bring general-purpose robots to the real-world faster.

“General-purpose robotics is advancing at extraordinary speed — the ChatGPT moment for robotics is fast approaching,” said Jensen Huang, founder and CEO of NVIDIA. “With NVIDIA Isaac, our full-stack open robotics platform, we are giving developers the models, data, simulation tools and computing systems to bring physical AI to the world’s largest industries.”

Agile ONE SN — A Frontier Humanoid Reference Platform for Research
Agile Robots announced Agile ONE SN, a full-stack reference humanoid preconfigured with NVIDIA Isaac GR00T and powered by the NVIDIA Jetson Thor™ edge AI platform.

Robotics researchers and developers often struggle to integrate the separate simulation, training and deployment tools needed to take robot skills from development to the physical world. Agile ONE SN unifies these tools and workflows on a single platform, cutting setup time from weeks to days.

Agile ONE SN features:

Agile ONE S humanoid body, standing 1.40 meters (4.59 feet tall) and weighing 40 kilograms (88 pounds), with 31 degrees of freedom and a 3-kilogram payload per arm.
Dual WUJI Hand 2 five-finger hands, each offering 20 degrees of freedom, 1kHz force control and tactile sensing for dexterous manipulation
NVIDIA Jetson Thor onboard compute, delivering 2,070 FP4 teraflops of compute and 128GB of unified memory for onboard reasoning and real-time control.
Multimodal sensing, including head and wrist cameras, lidar sensors and inertial measurement units to help the robot perceive and interact with its surroundings.
NVIDIA Isaac GR00T platform, which comprises the GR00T foundation model, a full workflow from data capture to deployment and whole-body control for coordinated movement.
Safety capabilities, with planned integration of on-robot safety protocols with the NVIDIA Halos full-stack safety system for robotics.

“The breakthrough for humanoids is usefulness at scale: one adaptable machine that learns many skills and works across environments built for people,” said Zhaopeng Chen, founder and CEO of Agile Robots. “Today, Agile Robots introduced Agile ONE SN, a full-stack, open reference humanoid built on NVIDIA Isaac GR00T, powered by Jetson Thor, giving developers a ready system to create, train and validate the capabilities needed to put humanoids to work.”

Scheduled to be available in early 2027, Agile ONE SN is designed to advance frontier humanoid research and development, with interest from leading institutions such as Stanford University and ETH Zurich.

New NVIDIA Technology Accelerate Robot Learning — From Data to Deployment
New NVIDIA technologies help developers generate training data, scale robot learning, build simulation environments and deploy robot applications, reducing time to solution.

SimReady Central Library offers more than 2,000 simulation-ready robotics and factory assets, while the Human 1M Dataset includes diverse human activities, synchronized three-view video and 3D hand tracking. Both are available on Hugging Face, with the full Human 1M Dataset accessible to Cosmos Coalition partners.
NVIDIA Isaac Lab 3.0 is now generally available, providing an open source, agent-ready learning framework training and refining robot policies from desktop to data center using multi-GPU workflows and physics engines including Newton and NVIDIA PhysX™.
NVIDIA Isaac OS, an open source runtime framework built on NVIDIA Holoscan, connects AI, sensors, controls and robot hardware for deterministic, real-time performance from simulation to physical robots.
NVIDIA is releasing three open source reference workflows for NVIDIA DGX Station™ that help developers refine GR00T 1.7 models with reinforcement learning, train dexterous manipulation skills in NVIDIA Isaac Lab and post-train NVIDIA Cosmos™ world models for synthetic data generation using ChatGPT Astra.
NVIDIA Halos provides a full-stack safety platform built on NVIDIA IGX Thor™ to help move autonomous vehicles and robots from development to safer real-world deployment at scale.

SimReady Central Library on Hugging Face includes simulation-ready assets from Comau, FANUC, ForgeCAD, Franka Robotics, LG Electronics, Palatial, Robotiq, Standard Bots, Universal Robots and Vertiv.

NVIDIA’s open source robot learning reference workflows running on DGX Station will be supported by solutions from 1X, Agile Robots, Humanoid, Maven Robotics, Mentee, MicroAGI, Rhoda, Sereact and Skild AI.

Robotics partners are integrating NVIDIA Halos within their safety architectures, including Agile Robots, Agility, Dexory, FORT Robotics and KION for warehouse robot safety. SICK is evaluating Halos to advance dynamic safety for industrial robots, helping them respond to changing conditions beyond fixed zones.

Advantech and NexCOBOT are developing NVIDIA IGX-based industrial computing platforms, while Reynolds & Moore, Accenture and TÜV SÜD are accelerating the certification process for the safe deployment of industrial physical AI.

European Robotics Leaders Build on NVIDIA Open Technologies
ABB Robotics is integrating NVIDIA Omniverse™ libraries with RobotStudio HyperReality to simulate and virtually commission robotic systems before installation across a wide range of industries. KUKA Group is using Omniverse libraries in its Visual Components FactoryLens to add real-time rendering for factory simulation workflows. Sereact is using Isaac GR00T with Cosmos Transfer to train and post-train its Cortex platform for goods handling, running on Universal Robots industrial robot arms.

Using Jetson Thor, Holoscan Sensor Bridge, Halos and NVIDIA Isaac OS, Humanoid is developing and validating robot behaviors before industrial pilots, Hexagon Robotics is building AEON perception capabilities including teleoperation video, localization, mapping and object pose detection, and Bear Robotics is accelerating KR1 perception and model execution while post-training Isaac GR00T through Kino-2 for warehouse, returns and industrial workflows.

Toyota Material Handling Europe and SoftServe use Omniverse and the NVIDIA Isaac Sim™ framework to develop autonomous material-handling solutions, reducing deployment time by up to 50%. Idealworks is using NVIDIA open models and Jetson to develop memory capabilities for autonomous mobile robots in factories. Analog Devices Inc. (ADI) is using NVIDIA Jetson AGX Orin™ and the cuVSLAM library to build autonomous mobile robots.

Hugging Face and Pollen Robotics are using NVIDIA Isaac Lab, Isaac Sim and Newton to build Microduck, a small, open source robot designed to help developers and students train, modify and share new physical behaviors. Franka Robotics is using NVIDIA NIM™ microservices and Isaac Sim to turn natural-language requests into actions on its Franka FR3 Duo robot system. Bellboy is using Jetson and GR00T to power Billie, its first robot teammate built on Bellboy’s physical AI infrastructure, already deployed at hotels operated by Marriott, Hilton, IHG and OYO.

Flexion is using Isaac Lab and Newton to scale learning for Reflect, its unified robot intelligence model combining reasoning and whole-body movement for complex manipulation across robot bodies. Schaeffler is contributing its actuator technology as an exclusive foundational component for Newton, helping accelerate humanoid robot development with NVIDIA Isaac Lab and Isaac Sim.

NEURA Robotics is using Isaac Sim and Isaac Lab to generate synthetic training data and train robot skills in simulation for Neuron AI, its multimodal foundation model.

Watch the GTC Berlin keynote from Huang and explore sessions.

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