NVIDIA Unveils Advanced AI Tools for Humanoid Robotics Development
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[1]
Nvidia charges ahead with humanoid robotics aided by the cloud
Nvidia said it is racing ahead with humanoid robotics technology, providing a custom foundation model for humanoid reasoning, a blueprint for generating synthetic motion data, and more Blackwell systems to accelerate humanoid robot development. At the Computex 2025 trade show in Taiwan, Nvidia unveiled Isaac GR00T N1.5, the first update to Nvidia's open, generalized, fully customizable foundation model for humanoid reasoning and skills; Nvidia Isaac GR00T-Dreams, a blueprint for generating synthetic motion data; and Nvidia Blackwell systems to accelerate humanoid robot development. Humanoid and robotics developers Agility Robotics,, Boston Dynamics, Fourier, Foxlink, Galbot, Mentee Robotics, NEURA Robotics, General Robotics, Skild AI and XPENG Robotics are adopting Nvidia Isaac platform technologies to advance humanoid robot development and deployment. "Physical AI and robotics will bring about the next industrial revolution," said Jensen Huang, CEO of Nvidia, in a statement. "From AI brains for robots to simulated worlds to practice in or AI supercomputers for training foundation models, Nvidia provides building blocks for every stage of the robotics development journey." New Isaac GR00T Data Generation Blueprint Closes the Data Gap Showcased in Huang's Computex keynote address, Nvidia Isaac GR00T-Dreams is a blueprint that helps generate vast amounts of synthetic motion data -- aka neural trajectories -- that physical AI developers can use to teach robots new behaviors, including how to adapt to changing environments. Developers can first post-train Cosmos Predict world foundation models (WFMs) for their robot. Then, using a single image as the input, GR00T-Dreams generates videos of the robot performing new tasks in new environments. The blueprint then extracts action tokens -- compressed, digestible pieces of data -- that are used to teach robots how to perform these new tasks. The GR00T-Dreams blueprint complements the Isaac GR00T-Mimic blueprint, which was released at the Nvidia GTC conference in March. While GR00T-Mimic uses the Nvidia Omniverse and Nvidia Cosmos platforms to augment existing data, GR00T-Dreams uses Cosmos to generate entirely new data. Jim Fan, director of AI and distinguished scientist at Nvidia, said in a press briefing, "Nvidia has a very strong robotic strategy, and it is centered around what Jensen calls the three computer problem." He noted the firm has the OVX computer that is meant to do simulation and graphic simulation physics engine, and it is used to synthesize and generate data. And this data is consumed by the DGX computer, which are used to train foundation models. And then it is deployed to the HX computer, which is the runtime on the edge for platforms like humanoid robots. Gr00t is the lifecycle of physical AI and robot-based workflows, Fan said. "It is an instantiation of the three-computer problem," he said. He pointed to two advances in Project Gr00t, Gr00t Dreams and Gr00t N1.5. (He said he was quite proud of those names). For Gr00t Dreams, Fan said it is a model that can generate videos to train robots. He showed a bunch of videos and said all of the videos were generated by Nvidia Cosmos. "We found a way to apply advanced video generation models like Cosmos to help humanoid robotics. So on a high level, how this method works is we first fine tune Cosmos on robot videos from our lab so that this video model is now customized to the robots at our lab, and then we can use this fine tuned model to generate, in principle, infinite number of dream videos by prompting the model in different ways," Fan said. "And now that becomes synthetic data to augment our real robot data sets. As many of you might know, collecting data on the real robot is very time consuming and costly, because you are fundamentally limited by 24 hours per robot per day, right? It's a physical system, but with Gr00t Dreams, this new workflow, this new set of algorithms, now we're able to break this fundamental physical limit and then multiply data at unprecedented scale next." The result is that robots will be able to pick up objects correctly. You can tell it to pick up a cucumber or pour some orange juice or open a laptop. The robot has never been trained on these particular actions, Fan said, but because it has been trained with video models, the robot is able to "understand the physics and the meaning of these verbs." And so it learns how to perform the actions. New Isaac GR00T Models Advance Humanoid Robot Development Nvidia Research used the GR00T-Dreams blueprint to generate synthetic training data to develop GR00T N1.5 -- an update to GR00T N1 -- in just 36 hours, compared with what would have taken nearly three months without the blueprint. GR00T N1.5 can better adapt to new environments and workspace congurations, as well as recognize objects through user instructions. This update signicantly improves the model's success rate for common material handling and manufacturing tasks like sorting or putting away objects. GR00T N1.5 can be deployed on Jetson Thor, launching later this year. The Gr00t N1.5 foundation model is incorporating Gr00t Dreams as part of the synthetic data generation pipeline. Nvidia has upgraded the visual language backbone, so Gr00t N1.5 will have better adaptability and the language instruction compliance, Fan said. Gr00t N1.5 it will be announced at Computex and then be released open source by June 9. As for Gr00t Dreams, Nvidia is still working on the timeline. The hope is to open source as much as possible, Fan said. Early adopters of GR00T N include AeiRobot, Foxlink, Lightwheel and NEURA Robotics. AeiRobot employs the model to enable ALICE4 to understand natural language instructions and execute complex pick-and-place workows in industrial settings. Foxlink Group is using it to improve industrial robot manipulator exibility and eciency, while Lightwheel is harnessing it to validate synthetic data for faster humanoid robot deployment in factories. NEURA Robotics is evaluating the model to accelerate its development of household automation. New Robot Simulation and Data Generation Frameworks Accelerate Training Pipelines Developing highly skilled humanoid robots requires a massive amount of diverse data, which is costly to capture and process. Robots need to be tested in the physical world, which can present costs and risk. To help close the data and testing gap, Nvidia unveiled the following simulation technologies: ● Nvidia Cosmos Reason, a new WFM that uses chain of thoughts reasoning to help curate accurate, higher-quality synthetic data for physical AI model training, is now available on Hugging Face ● Cosmos Predict 2, used in GR00T dreams, is also coming soon to Hugging Face with performance enhancements for high-quality world generation and reduced hallucination. ● Nvidia Isaac GR00T-Mimic, a blueprint for generating exponentially large quantities of synthetic motion trajectories for robot manipulation, using just a few human demonstrations. ● Open-Source Physical AI Dataset, which now includes 24,000 high-quality humanoid robot motion trajectories used to develop GR00T N models. ● Nvidia Isaac Sim 5.0, a simulation and synthetic data generation framework, now openly available on GitHub. ● Nvidia Isaac Lab 2.2, an open-source robot learning framework, which will include new evaluation environments to help developers test GR00T N models. Foxconn and Foxlink are using the GR00T-Mimic blueprint for synthetic motion manipulation generation to accelerate their robotics training pipelines. Agility Robotics, Boston Dynamics, Fourier, Mentee Robotics, NEURA Robotics and XPENG Robotics are simulating and training their humanoid robots using Nvidia Isaac Sim and Isaac Lab. Skild AI is using the simulation frameworks to develop general robot intelligence, and General Robotics is integrating them into its robot intelligence platform. Universal Blackwell Systems for Robot Developers Global systems manufacturers are building Nvidia RTX PRO 6000 workstations and servers, oering a single architecture to easily run every robot development workload across training, synthetic data generation, robot learning and simulation. Cisco, Dell Technologies, Hewlett Packard Enterprise, Lenovo and Supermicro announced Nvidia RTX PRO 6000 Blackwell-powered servers, and Dell Technologies and Lenovo announced Nvidia RTX PRO 6000 Blackwell-powered workstations. When more compute is required to run large-scale training or data generation workloads, developers can tap into Nvidia Blackwell systems like GB200 NVL72 -- available with Nvidia DGX Cloud on leading cloud providers and Nvidia Cloud Partners -- to achieve up to 18x greater performance for data processing.
[2]
NVIDIA Powers Humanoid Robot Industry With Cloud-to-Robot Computing Platforms for Physical AI
COMPUTEX -- NVIDIA today announced NVIDIA Isaac GR00T N1.5, the first update to NVIDIA's open, generalized, fully customizable foundation model for humanoid reasoning and skills; NVIDIA Isaac GR00T-Dreams, a blueprint for generating synthetic motion data; and NVIDIA Blackwell systems to accelerate humanoid robot development. Humanoid and robotics developers Agility Robotics, Boston Dynamics, Fourier, Foxlink, Galbot, Mentee Robotics, NEURA Robotics, General Robotics, Skild AI and XPENG Robotics are adopting NVIDIA Isaac™ platform technologies to advance humanoid robot development and deployment. "Physical AI and robotics will bring about the next industrial revolution," said Jensen Huang, founder and CEO of NVIDIA. "From AI brains for robots to simulated worlds to practice in or AI supercomputers for training foundation models, NVIDIA provides building blocks for every stage of the robotics development journey." New Isaac GR00T Data Generation Blueprint Closes the Data Gap Showcased in Huang's COMPUTEX keynote address, NVIDIA Isaac GR00T-Dreams is a blueprint that helps generate vast amounts of synthetic motion data -- aka neural trajectories -- that physical AI developers can use to teach robots new behaviors, including how to adapt to changing environments. Developers can first post-train Cosmos Predict world foundation models (WFMs) for their robot. Then, using a single image as the input, GR00T-Dreams generates videos of the robot performing new tasks in new environments. The blueprint then extracts action tokens -- compressed, digestible pieces of data -- that are used to teach robots how to perform these new tasks. The GR00T-Dreams blueprint complements the Isaac GR00T-Mimic blueprint, which was released at the NVIDIA GTC conference in March. While GR00T-Mimic uses the NVIDIA Omniverse™ and NVIDIA Cosmos™ platforms to augment existing data, GR00T-Dreams uses Cosmos to generate entirely new data. New Isaac GR00T Models Advance Humanoid Robot Development NVIDIA Research used the GR00T-Dreams blueprint to generate synthetic training data to develop GR00T N1.5 -- an update to GR00T N1 -- in just 36 hours, compared with what would have taken nearly three months of manual human data collection. GR00T N1.5 can better adapt to new environments and workspace configurations, as well as recognize objects through user instructions. This update significantly improves the model's success rate for common material handling and manufacturing tasks like sorting or putting away objects. Early adopters of GR00T N models include AeiRobot, Foxlink, Lightwheel and NEURA Robotics. AeiRobot employs the models to enable ALICE4 to understand natural language instructions and execute complex pick-and-place workflows in industrial settings. Foxlink Group is using them to improve industrial robot manipulator flexibility and efficiency, while Lightwheel is harnessing them to validate synthetic data for faster humanoid robot deployment in factories. NEURA Robotics is evaluating the models to accelerate its development of household automation systems. New Robot Simulation and Data Generation Frameworks Accelerate Training Pipelines Developing highly skilled humanoid robots requires a massive amount of diverse data, which is costly to capture and process. Robots need to be tested in the physical world, which can present costs and risk. To help close the data and testing gap, NVIDIA unveiled the following simulation technologies: Foxconn and Foxlink are using the GR00T-Mimic blueprint for synthetic motion manipulation generation to accelerate their robotics training pipelines. Agility Robotics, Boston Dynamics, Fourier, Mentee Robotics, NEURA Robotics and XPENG Robotics are simulating and training their humanoid robots using NVIDIA Isaac Sim and Isaac Lab. Skild AI is using the simulation frameworks to develop general robot intelligence, and General Robotics is integrating them into its robot intelligence platform. Universal Blackwell Systems for Robot Developers Global systems manufacturers are building NVIDIA RTX PRO™ 6000 workstations and servers, offering a single architecture to easily run every robot development workload across training, synthetic data generation, robot learning and simulation. Cisco, Dell Technologies, Hewlett Packard Enterprise, Lenovo and Supermicro announced NVIDIA RTX PRO-powered servers, and Dell Technologies, HPI and Lenovo announced NVIDIA RTX PRO 6000 Blackwell-powered workstations. When more compute is required to run large-scale training or data generation workloads, developers can tap into NVIDIA Blackwell systems like GB200 NVL72 -- available with NVIDIA DGX™ Cloud on leading cloud providers and NVIDIA Cloud Partners -- to achieve up to 18x greater performance for data processing. Developers can deploy their robot foundation models to the NVIDIA Jetson Thor platform, coming soon -- enabling accelerated on-robot inference and runtime performance.
[3]
NVIDIA Powers Humanoid Robot Industry With Cloud-to-Robot Computing Platforms for Physical AI - NVIDIA (NASDAQ:NVDA)
New NVIDIA Isaac GR00T Humanoid Open Models Soon Available for Download on Hugging FaceGR00T-Dreams Blueprint Generates Data to Train Humanoid Robot Reasoning and BehaviorNVIDIA RTX PRO 6000 Blackwell Workstations and RTX PRO Servers Accelerate Robot Simulation and TrainingAgility Robotics, Boston Dynamics, Foxconn, Lightwheel, NEURA Robotics and XPENG Robotics Among Many Robot Makers Adopting NVIDIA Isaac TAIPEI, Taiwan, May 19, 2025 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA today announced NVIDIA Isaac GR00T N1.5, the first update to NVIDIA's open, generalized, fully customizable foundation model for humanoid reasoning and skills; NVIDIA Isaac GR00T-Dreams, a blueprint for generating synthetic motion data; and NVIDIA Blackwell systems to accelerate humanoid robot development. Humanoid and robotics developers Agility Robotics, Boston Dynamics, Fourier, Foxlink, Galbot, Mentee Robotics, NEURA Robotics, General Robotics, Skild AI and XPENG Robotics are adopting NVIDIA Isaac™ platform technologies to advance humanoid robot development and deployment. "Physical AI and robotics will bring about the next industrial revolution," said Jensen Huang, founder and CEO of NVIDIA. "From AI brains for robots to simulated worlds to practice in or AI supercomputers for training foundation models, NVIDIA provides building blocks for every stage of the robotics development journey." New Isaac GR00T Data Generation Blueprint Closes the Data Gap Showcased in Huang's COMPUTEX keynote address, NVIDIA Isaac GR00T-Dreams is a blueprint that helps generate vast amounts of synthetic motion data -- aka neural trajectories -- that physical AI developers can use to teach robots new behaviors, including how to adapt to changing environments. Developers can first post-train Cosmos Predict world foundation models (WFMs) for their robot. Then, using a single image as the input, GR00T-Dreams generates videos of the robot performing new tasks in new environments. The blueprint then extracts action tokens -- compressed, digestible pieces of data -- that are used to teach robots how to perform these new tasks. The GR00T-Dreams blueprint complements the Isaac GR00T-Mimic blueprint, which was released at the NVIDIA GTC conference in March. While GR00T-Mimic uses the NVIDIA Omniverse™ and NVIDIA Cosmos™ platforms to augment existing data, GR00T-Dreams uses Cosmos to generate entirely new data. New Isaac GR00T Models Advance Humanoid Robot Development NVIDIA Research used the GR00T-Dreams blueprint to generate synthetic training data to develop GR00T N1.5 -- an update to GR00T N1 -- in just 36 hours, compared with what would have taken nearly three months of manual human data collection. GR00T N1.5 can better adapt to new environments and workspace configurations, as well as recognize objects through user instructions. This update significantly improves the model's success rate for common material handling and manufacturing tasks like sorting or putting away objects. Early adopters of GR00T N models include AeiRobot, Foxlink, Lightwheel and NEURA Robotics. AeiRobot employs the models to enable ALICE4 to understand natural language instructions and execute complex pick-and-place workflows in industrial settings. Foxlink Group is using them to improve industrial robot manipulator flexibility and efficiency, while Lightwheel is harnessing them to validate synthetic data for faster humanoid robot deployment in factories. NEURA Robotics is evaluating the models to accelerate its development of household automation systems. New Robot Simulation and Data Generation Frameworks Accelerate Training Pipelines Developing highly skilled humanoid robots requires a massive amount of diverse data, which is costly to capture and process. Robots need to be tested in the physical world, which can present costs and risk. To help close the data and testing gap, NVIDIA unveiled the following simulation technologies: NVIDIA Cosmos Reason, a new WFM that uses chain-of-thought reasoning to help curate accurate, higher-quality synthetic data for physical AI model training, is now available on Hugging Face.Cosmos Predict 2, used in GR00T-Dreams, is coming soon to Hugging Face, featuring performance enhancements for high-quality world generation and reduced hallucination.NVIDIA Isaac GR00T-Mimic, a blueprint for generating exponentially large quantities of synthetic motion trajectories for robot manipulation, using just a few human demonstrations.Open-Source Physical AI Dataset, which now includes 24,000 high-quality humanoid robot motion trajectories used to develop GR00T N models.NVIDIA Isaac Sim™ 5.0, a simulation and synthetic data generation framework, will soon be openly available on GitHub.NVIDIA Isaac Lab 2.2, an open-source robot learning framework, which will support new evaluation environments to help developers test GR00T N models. Foxconn and Foxlink are using the GR00T-Mimic blueprint for synthetic motion manipulation generation to accelerate their robotics training pipelines. Agility Robotics, Boston Dynamics, Fourier, Mentee Robotics, NEURA Robotics and XPENG Robotics are simulating and training their humanoid robots using NVIDIA Isaac Sim and Isaac Lab. Skild AI is using the simulation frameworks to develop general robot intelligence, and General Robotics is integrating them into its robot intelligence platform. Universal Blackwell Systems for Robot Developers Global systems manufacturers are building NVIDIA RTX PRO™ 6000 workstations and servers, offering a single architecture to easily run every robot development workload across training, synthetic data generation, robot learning and simulation. Cisco, Dell Technologies, Hewlett Packard Enterprise, Lenovo and Supermicro announced NVIDIA RTX PRO-powered servers, and Dell Technologies, HPI and Lenovo announced NVIDIA RTX PRO 6000 Blackwell-powered workstations. When more compute is required to run large-scale training or data generation workloads, developers can tap into NVIDIA Blackwell systems like GB200 NVL72 -- available with NVIDIA DGX™ Cloud on leading cloud providers and NVIDIA Cloud Partners -- to achieve up to 18x greater performance for data processing. Developers can deploy their robot foundation models to the NVIDIA Jetson Thor platform, coming soon -- enabling accelerated on-robot inference and runtime performance. Watch the COMPUTEX keynote from Huang and learn more at NVIDIA GTC Taipei. About NVIDIA NVIDIA NVDA is the world leader in accelerated computing. For further information, contact: Paris Fox Corporate Communications NVIDIA Corporation +1-408-242-0035 [email protected] Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance and availability of NVIDIA's products, services; NVIDIA's collaborations with third parties and the benefits and impact thereof; third parties using or adopting our products and technologies, the benefits and impact thereof; physical AI and robotics bringing about our next industrial revolution; and NVIDIA providing the ecosystem with the building blocks for every stage of the robotics development journey are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the "safe harbor" created by those sections and that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein. © 2025 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DGX, NVIDIA Cosmos, NVIDIA Isaac, NVIDIA Isaac Sim, NVIDIA Omniverse and NVIDIA RTX PRO are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/cae92527-3b1e-4e58-9e4a-5c18b3f06a22 NVDANVIDIA Corp$132.10-2.02%Stock Score Locked: Want to See it? Benzinga Rankings give you vital metrics on any stock - anytime. Reveal Full ScoreEdge RankingsMomentum83.62Growth95.02Quality94.05Value6.46Price TrendShortMediumLongOverviewMarket News and Data brought to you by Benzinga APIs
[4]
Nvidia Unveils AI Tools For Humanoid Robots In Next Tech Era - NVIDIA (NASDAQ:NVDA)
Nvidia Corp NVDA on Monday announced Nvidia Isaac GR00T N1.5, the first update to Nvidia's open, generalized, fully customizable foundation model for humanoid reasoning and skills; Nvidia Isaac GR00T-Dreams, a blueprint for generating synthetic motion data; and Nvidia Blackwell systems to accelerate humanoid robot development. Humanoid and robotics developers Agility Robotics, Boston Dynamics, and XPENG Robotics are adopting Nvidia Isaac platform technologies to advance humanoid robot development and deployment. Nvidia CEO Jensen Huang expects physical AI and robotics to bring about the next industrial revolution. Also Read: Nvidia Scores Big As Trump Brokers Major AI Export Pact With UAE and US Tech Giants He added that Nvidia provides building blocks for every stage of the robotics development journey, from AI brains for robots to simulated worlds to practice in or AI supercomputers for training foundation models. Global systems manufacturers are building Nvidia RTX PRO 6000 workstations and servers, offering a single architecture to easily run every robot development workload across training, synthetic data generation, robot learning, and simulation. Cisco Systems, Inc CSCO, Dell Technologies Inc DELL, Hewlett Packard Enterprise HPE, Lenovo LNVGY, and Super Micro Computer SMCI announced Nvidia RTX PRO-powered servers, and Dell Technologies, HPI, and Lenovo announced Nvidia RTX PRO 6000 Blackwell-powered workstations. Nvidia also announced the opening of the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), which hosts an ABCI-Q research supercomputer dedicated to quantum computing. Delivered by Japan's National Institute of Advanced Industrial Science and Technology (AIST), the ABCI-Q supercomputer features 2,020 Nvidia H100 GPUs interconnected by the Nvidia Quantum-2 InfiniBand networking platform. The system is integrated with Nvidia CUDA-Q, an open-source hybrid computing platform for orchestrating the hardware and software needed to run practical, massive-scale quantum computing applications. ABCI-Q's AI supercomputing is integrated with a superconducting qubit processor by Fujitsu, a neutral atom quantum processor by QuEra, and a photonic processor by OptQC, enabling hybrid quantum-GPU workloads across multiple qubit modalities. Piper Sandler analyst Harsh Kumar has projected a potential data center annual revenue loss of $9.8 billion for Nvidia due to a slowdown in capital expenditure (capex) and an ongoing decoupling from China. Nvidia previously stated it anticipates taking charges of up to $5.5 billion in fiscal first-quarter 2026 tied to its China-specific H20 GPU. After the Trump administration imposed curbs on H20 AI chips, CEO Jensen Huang traveled to Beijing to meet Chinese officials. Price Actions: Nvidia stock is down 2.85% at $131.54 premarket at the last check on Monday. Read Next: Super Micro Rolls Out AI Servers With Nvidia's Blackwell Chips To Cut Costs, Boost Performance Image: Shutterstock NVDANVIDIA Corp$134.85-0.40%Stock Score Locked: Want to See it? Benzinga Rankings give you vital metrics on any stock - anytime. Reveal Full ScoreEdge RankingsMomentum83.62Growth95.02Quality94.05Value6.46Price TrendShortMediumLongOverviewCSCOCisco Systems Inc$63.900.43%DELLDell Technologies Inc$113.42-0.67%HPEHewlett Packard Enterprise Co$17.44-1.75%LNVGYLenovo Group Ltd$25.641.47%SMCISuper Micro Computer Inc$44.82-2.88%Market News and Data brought to you by Benzinga APIs
[5]
Nvidia Unveils AI Tools For Humanoid Robots, Launches Quantum-AI Supercomputer To Drive Next Tech Era - NVIDIA (NASDAQ:NVDA)
Nvidia Corp NVDA on Monday announced Nvidia Isaac GR00T N1.5, the first update to Nvidia's open, generalized, fully customizable foundation model for humanoid reasoning and skills; Nvidia Isaac GR00T-Dreams, a blueprint for generating synthetic motion data; and Nvidia Blackwell systems to accelerate humanoid robot development. Humanoid and robotics developers Agility Robotics, Boston Dynamics, and XPENG Robotics are adopting Nvidia Isaac platform technologies to advance humanoid robot development and deployment. Nvidia CEO Jensen Huang expects physical AI and robotics to bring about the next industrial revolution. Also Read: Nvidia Scores Big As Trump Brokers Major AI Export Pact With UAE and US Tech Giants He added that Nvidia provides building blocks for every stage of the robotics development journey, from AI brains for robots to simulated worlds to practice in or AI supercomputers for training foundation models. Global systems manufacturers are building Nvidia RTX PRO 6000 workstations and servers, offering a single architecture to easily run every robot development workload across training, synthetic data generation, robot learning, and simulation. Cisco Systems, Inc CSCO, Dell Technologies Inc DELL, Hewlett Packard Enterprise HPE, Lenovo LNVGY, and Super Micro Computer SMCI announced Nvidia RTX PRO-powered servers, and Dell Technologies, HPI, and Lenovo announced Nvidia RTX PRO 6000 Blackwell-powered workstations. Nvidia also announced the opening of the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), which hosts an ABCI-Q research supercomputer dedicated to quantum computing. Delivered by Japan's National Institute of Advanced Industrial Science and Technology (AIST), the ABCI-Q supercomputer features 2,020 Nvidia H100 GPUs interconnected by the Nvidia Quantum-2 InfiniBand networking platform. The system is integrated with Nvidia CUDA-Q, an open-source hybrid computing platform for orchestrating the hardware and software needed to run practical, massive-scale quantum computing applications. ABCI-Q's AI supercomputing is integrated with a superconducting qubit processor by Fujitsu, a neutral atom quantum processor by QuEra, and a photonic processor by OptQC, enabling hybrid quantum-GPU workloads across multiple qubit modalities. Piper Sandler analyst Harsh Kumar has projected a potential data center annual revenue loss of $9.8 billion for Nvidia due to a slowdown in capital expenditure (capex) and an ongoing decoupling from China. Nvidia previously stated it anticipates taking charges of up to $5.5 billion in fiscal first-quarter 2026 tied to its China-specific H20 GPU. After the Trump administration imposed curbs on H20 AI chips, CEO Jensen Huang traveled to Beijing to meet Chinese officials. Price Actions: Nividia stock is down 2.85% at $131.54 premarket at the last check on Monday. Read Next: Super Micro Rolls Out AI Servers With Nvidia's Blackwell Chips To Cut Costs, Boost Performance Image: Shutterstock NVDANVIDIA Corp$135.590.14%Stock Score Locked: Want to See it? Benzinga Rankings give you vital metrics on any stock - anytime. Reveal Full ScoreEdge RankingsMomentum83.62Growth95.02Quality94.05Value6.46Price TrendShortMediumLongOverviewCSCOCisco Systems Inc$63.650.05%DELLDell Technologies Inc$114.640.39%HPEHewlett Packard Enterprise Co$17.46-1.61%LNVGYLenovo Group Ltd$25.561.15%SMCISuper Micro Computer Inc$46.04-0.24%Market News and Data brought to you by Benzinga APIs
[6]
NVIDIA Powers Humanoid Robot Industry With Cloud-to-Robot Computing Platforms for Physical AI
TAIPEI, Taiwan, May 19, 2025 (GLOBE NEWSWIRE) -- COMPUTEX -- NVIDIA today announced NVIDIA Isaac GR00T N1.5, the first update to NVIDIA's open, generalized, fully customizable foundation model for humanoid reasoning and skills; NVIDIA Isaac GR00T-Dreams, a blueprint for generating synthetic motion data; and NVIDIA Blackwell systems to accelerate humanoid robot development. Humanoid and robotics developers Agility Robotics, Boston Dynamics, Fourier, , Galbot, Mentee Robotics, NEURA Robotics, General Robotics, Skild AI and XPENG Robotics are adopting Isaac™ platform technologies to advance humanoid robot development and deployment. "Physical AI and robotics will bring about the next industrial revolution," said , founder and CEO of . "From AI brains for robots to simulated worlds to practice in or AI supercomputers for training foundation models, provides building blocks for every stage of the robotics development journey." New Isaac GR00T Data Generation Blueprint Closes the Data Gap Showcased in Huang's keynote address, Isaac GR00T-Dreams is a blueprint that helps generate vast amounts of synthetic motion data -- aka neural trajectories -- that physical AI developers can use to teach robots new behaviors, including how to adapt to changing environments. Developers can first post-train Cosmos Predict world foundation models (WFMs) for their robot. Then, using a single image as the input, GR00T-Dreams generates videos of the robot performing new tasks in new environments. The blueprint then extracts action tokens -- compressed, digestible pieces of data -- that are used to teach robots how to perform these new tasks. The GR00T-Dreams blueprint complements the Isaac GR00T-Mimic blueprint, which was released at the GTC conference in March. While GR00T-Mimic uses the Omniverse™ and Cosmos™ platforms to augment existing data, GR00T-Dreams uses Cosmos to generate entirely new data. used the GR00T-Dreams blueprint to generate synthetic training data to develop GR00T N1.5 -- an update to GR00T N1 -- in just 36 hours, compared with what would have taken nearly three months of manual human data collection. GR00T N1.5 can better adapt to new environments and workspace configurations, as well as recognize objects through user instructions. This update significantly improves the model's success rate for common material handling and manufacturing tasks like sorting or putting away objects. Early adopters of GR00T N models include AeiRobot, , Lightwheel and NEURA Robotics. AeiRobot employs the models to enable ALICE4 to understand natural language instructions and execute complex pick-and-place workflows in industrial settings. is using them to improve industrial robot manipulator flexibility and efficiency, while Lightwheel is harnessing them to validate synthetic data for faster humanoid robot deployment in factories. NEURA Robotics is evaluating the models to accelerate its development of household automation systems. New Robot Simulation and Data Generation Frameworks Accelerate Training Pipelines Developing highly skilled humanoid robots requires a massive amount of diverse data, which is costly to capture and process. Robots need to be tested in the physical world, which can present costs and risk. To help close the data and testing gap, unveiled the following simulation technologies: Foxconn and are using the GR00T-Mimic blueprint for synthetic motion manipulation generation to accelerate their robotics training pipelines. Agility Robotics, Boston Dynamics, Fourier, Mentee Robotics, NEURA Robotics and XPENG Robotics are simulating and training their humanoid robots using . Skild AI is using the simulation frameworks to develop general robot intelligence, and General Robotics is integrating them into its robot intelligence platform. Universal Blackwell Systems for Robot Developers Global systems manufacturers are building RTX PRO™ 6000 workstations and servers, offering a single architecture to easily run every robot development workload across training, synthetic data generation, robot learning and simulation. Cisco, Dell Technologies, Hewlett Packard Enterprise, Lenovo and Supermicro announced RTX PRO-powered servers, and Dell Technologies, HPI and Lenovo announced RTX PRO 6000 Blackwell-powered workstations. When more compute is required to run large-scale training or data generation workloads, developers can tap into Blackwell systems like GB200 NVL72 -- available with DGX™ Cloud on leading cloud providers and -- to achieve up to 18x greater performance for data processing. Developers can deploy their robot foundation models to the Jetson Thor platform, coming soon -- enabling accelerated on-robot inference and runtime performance. Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance and availability of NVIDIA's products, services; NVIDIA's collaborations with third parties and the benefits and impact thereof; third parties using or adopting our products and technologies, the benefits and impact thereof; physical AI and robotics bringing about our next industrial revolution; and providing the ecosystem with the building blocks for every stage of the robotics development journey are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the "safe harbor" created by those sections and that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports files with the , or , including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the are posted on the company's website and are available from without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. Many of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements above are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of . will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein. © 2025 . All rights reserved. , the logo, DGX, Cosmos, Isaac, Isaac Sim, Omniverse and RTX PRO are trademarks and/or registered trademarks of in the and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice. A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/cae92527-3b1e-4e58-9e4a-5c18b3f06a22
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NVIDIA announces new AI models and tools to accelerate humanoid robot development, including updates to its GR00T foundation model and a blueprint for generating synthetic motion data.
NVIDIA Advances Humanoid Robotics with New AI Tools
NVIDIA, a leader in AI and computing, has unveiled a suite of advanced tools and technologies aimed at accelerating the development of humanoid robots. The announcement, made at the Computex 2025 trade show in Taiwan, showcases NVIDIA's commitment to pushing the boundaries of physical AI and robotics
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.Key Innovations in Humanoid Robotics
At the heart of NVIDIA's announcement is the Isaac GR00T N1.5, an update to their open, generalized foundation model for humanoid reasoning and skills. This model significantly improves robots' ability to adapt to new environments, recognize objects through user instructions, and perform common tasks in material handling and manufacturing
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.Complementing this is the introduction of Isaac GR00T-Dreams, a blueprint for generating synthetic motion data. This innovative approach allows developers to create vast amounts of training data for robots, teaching them new behaviors and adaptability to changing environments. The process involves using NVIDIA's Cosmos Predict world foundation models to generate videos of robots performing tasks, which are then converted into actionable data for robot training
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.Accelerating Development with Synthetic Data
One of the most significant advancements is the dramatic reduction in development time achieved through these new tools. NVIDIA Research reported that using the GR00T-Dreams blueprint, they were able to develop GR00T N1.5 in just 36 hours, a process that would have traditionally taken nearly three months of manual data collection
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.Industry Adoption and Partnerships
Several leading robotics companies are already adopting NVIDIA's Isaac platform technologies. These include Agility Robotics, Boston Dynamics, Fourier, Foxlink, and XPENG Robotics, among others. These partnerships demonstrate the industry's confidence in NVIDIA's approach to advancing humanoid robot development
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.Hardware Support for Robot Development
To support the computational demands of robot development, NVIDIA has announced new hardware solutions. Global system manufacturers are building NVIDIA RTX PRO 6000 workstations and servers, offering a unified architecture for various robot development workloads. Companies like Cisco, Dell Technologies, Hewlett Packard Enterprise, Lenovo, and Supermicro have announced support for these new systems
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.Related Stories
Quantum Computing Integration
In a related development, NVIDIA also announced the opening of the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT) in Japan. This center hosts the ABCI-Q research supercomputer, which integrates NVIDIA's GPU technology with various quantum computing processors, enabling hybrid quantum-GPU workloads
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.Industry Impact and Future Outlook
Jensen Huang, founder and CEO of NVIDIA, emphasized the transformative potential of these developments, stating, "Physical AI and robotics will bring about the next industrial revolution"
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. This sentiment is echoed by the rapid adoption of NVIDIA's technologies by leading robotics companies, signaling a new era in the development and deployment of humanoid robots across various industries.As NVIDIA continues to push the boundaries of AI and robotics, these advancements are expected to significantly accelerate the development of more capable, adaptable, and efficient humanoid robots, potentially revolutionizing sectors from manufacturing to healthcare and beyond.
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