Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Nvidia and Hugging Face Enhance LeRobot with Advanced Open Robotics AI Tools
Nvidia and Hugging Face have expanded their partnership to introduce new AI models and robotics frameworks to the LeRobot platform, enhancing accessibility for developers. The integration of Nvidia Isaac GR00T 1.7, a vision-language-action foundation model, and the Isaac Teleop framework aims to streamline the development process for AI-powered robots. This collaboration is significant as it combines Nvidia's community of over three million robotics developers with Hugging Face's 16 million AI developers, fostering a broader access to physical AI technologies. The new tools will enable standardized workflows for data collection, model training, and performance evaluation, making it easier for developers to create and deploy robotic solutions. Looking ahead, the planned support for Nvidia Cosmos 3 will further empower developers by allowing the generation of synthetic data and simulation of environments. No further timeline was disclosed at the time of publication.
Artificial Intelligence Computing ai Hugging Face humanoid robots Isaac GR00T 1.7
Fujitsu Collaborates with Fanuc, Yaskawa, and Kawasaki to Enhance Physical AI with Nvidia
Fujitsu has initiated a partnership with Japanese robotics firms Fanuc, Yaskawa Electric, and Kawasaki Heavy Industries to advance the development and deployment of physical AI in sectors such as manufacturing, logistics, and healthcare. This collaboration will leverage Nvidia's physical AI technologies to create a collaborative control platform that connects digital systems with robots and physical equipment. The initiative aims to accelerate the adoption of physical AI, addressing challenges like labor shortages and an aging workforce while enhancing global competitiveness. The platform will optimize production planning in manufacturing, automate material handling in logistics, and improve healthcare operations by automating the transport of medical supplies and assisting with patient interactions. Fujitsu plans to develop an open collaborative control platform that integrates AI, robotics, and data analysis technologies, ensuring interoperability and addressing cybersecurity concerns. No further timeline was disclosed at the time of publication.
Artificial Intelligence Industry News ai factory automation fanuc
Toyota and Nvidia Enhance Collaboration to Advance AI in Vehicles, Manufacturing, and Urban Infrastructure
Toyota and Nvidia have broadened their partnership to develop physical AI technologies that encompass next-generation vehicles, manufacturing, robotics, and urban infrastructure. This collaboration builds on a previous agreement, focusing on advanced driver-assistance systems using Nvidia's DRIVE AGX platform and DriveOS operating system. The significance of this partnership lies in its potential to revolutionize mobility and manufacturing. Rishi Dhall, Nvidia's vice president of automotive, emphasized that physical AI will enhance the intelligence of various machines, making vehicles more autonomous and urban environments safer and more responsive. Toyota aims to implement Level 2++ functionality in its future vehicles while leveraging Nvidia AI models for efficient software engineering. Additionally, Toyota is integrating AI into its manufacturing processes through factory simulations using Nvidia's Omniverse and Isaac Sim frameworks. The partnership also extends to urban mobility technologies via Woven by Toyota, which is developing models to analyze traffic conditions. No further timeline was disclosed at the time of publication.
Computing News advanced driver assistance systems ai automotive AI digital twins
Aetina Expands Nvidia Jetson Support with T3000 and T2000 AI Modules
Aetina, a specialist in edge AI computing, is set to enhance its offerings by adding support for the newly unveiled Nvidia Jetson T3000 and T2000 modules. These modules are designed for robotics and industrial edge AI applications, and Aetina plans to integrate them into its DeviceEdge AIE-KT and AIE-PT systems, providing scalable and efficient AI computing solutions. This expansion is significant as it allows Aetina to leverage Nvidia's advanced AI capabilities, including the ability to run generative AI models with low latency, which is crucial for applications like humanoid robots. The Nvidia Jetson T3000 module boasts up to 865 FP4 TFLOPS, while the T2000 offers up to 400 FP4 TFLOPS, catering to a range of robotics applications from visual AI agents to autonomous mobile robots. Looking ahead, Aetina is among the first partners to support these new modules, with Nvidia expecting them to be available in the first quarter of 2027. The company plans to provide further details on system specifications and developer support as the launch date approaches, making it a key player in the evolving landscape of AI-driven robotics solutions.
Computing Industry Aetina automation Autonomous robots DeviceEdge AIE-KT
FORT Robotics Enhances AI Safety with Nvidia Halos at Automate Conference
FORT Robotics has joined the Nvidia Halos for Robotics ecosystem to enhance safety for autonomous robots. The company will showcase its agentic safety application, developed using the Nvidia Halos Outside-In Safety Blueprint, at the Automate conference in Chicago. This innovative solution utilizes external infrastructure sensors and visual AI agents to provide real-time, safety-certifiable functional safety, significantly improving operational efficiency in dynamic environments. The collaboration is significant as it addresses the limitations of traditional inside-out functional safety systems, which rely solely on onboard sensors. By integrating Nvidia's IGX Thor and Holoscan Sensor Bridge, FORT's solution allows robots to operate safely alongside human workers in high-efficiency modes. This adaptability is crucial for modern warehouses and factories, where environments are constantly changing, and safety frameworks must evolve to protect workers effectively. Looking ahead, FORT's integration with Nvidia Halos is expected to provide substantial value to customers in warehousing, manufacturing, and other automated sectors. The Outside-In Safety framework aims to prevent safety incidents in mixed human-robot environments, optimizing processes like inventory replenishment and product assembly. No further timeline was disclosed at the time of publication.
Artificial Intelligence Industry ai automation Autonomous robots fort robotics
NVIDIA Discusses Evaluating General-Purpose Robot Policies for Real-World Applications
NVIDIA has highlighted the challenges in evaluating general-purpose robot policies as their capabilities advance. The company emphasizes that while current robotics models can follow natural language instructions to manipulate various objects, rigorous evaluation remains a significant hurdle due to the limitations of existing benchmarks. Real-world testing is costly and slow, necessitating effective simulation methods for large-scale evaluations. The importance of this evaluation process lies in the need for robots to generalize their skills beyond memorized setups. NVIDIA points out that many benchmarks suffer from visual and task-domain overlap, which can lead to misleading performance metrics. As models achieve high scores on static task sets, it becomes increasingly difficult to differentiate their true capabilities, raising concerns about the meaningfulness of reported results. Looking ahead, NVIDIA's focus on improving simulation environments and task generation methods is crucial for advancing robotic evaluation. The company aims to address the diagnostic gaps in current benchmarks, which often fail to provide insights into the reasons behind a robot's performance. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Design / Development Motion Control News Software / Simulation
Nvidia Unveils Vera CPU for AI, Challenging AMD and Intel in Server Market
Nvidia has introduced its next-generation CPU, Vera, designed specifically for AI applications, marking its entry into the CPU market. This strategic move positions Nvidia to compete directly with established players AMD and Intel in the AI server sector. The company has begun shipping Vera chips to clients such as OpenAI, Anthropic, and SpaceX, highlighting its commitment to vertical integration in technology. The significance of this launch lies in Nvidia's aim to redefine server architecture by focusing on single-core performance rather than core count, which has been the traditional approach by competitors. With the server CPU market projected to reach $200 billion, Nvidia's Vera chip is expected to play a crucial role in enhancing AI agent performance, offering 50% better efficiency compared to existing x86 chips from Intel and AMD. Looking ahead, Nvidia's strategy to sell complete computing systems rather than just individual chips could reshape the competitive landscape in AI servers. As the demand for AI capabilities continues to grow, the performance and pricing of the Vera CPU will be critical factors to monitor in the evolving market dynamics.
Bristol Myers Squibb and NVIDIA to Build Largest AI Supercomputer for Pharma by 2027
Bristol Myers Squibb (BMS) has partnered with NVIDIA to construct the largest AI supercomputer in the pharmaceutical sector, expected to be operational by January 2027. This supercomputer will be hosted by Equinix under a co-location agreement, marking a significant investment in AI technology for drug discovery. The initiative underscores the growing importance of high-performance computing in pharmaceuticals, as companies recognize that computational power is essential for advancing drug discovery processes. Unlike tech firms that rent computing resources, BMS has opted to purchase its own infrastructure, ensuring control over proprietary data and intellectual property. Looking ahead, BMS's AI supercomputer will feature NVIDIA's DGX SuperPOD, significantly enhancing performance and providing access to advanced AI tools. This strategic move aligns with BMS's commitment to leveraging AI for improved patient outcomes, as highlighted by Chief Digital and Technology Officer Greg Meyers. No further timeline was disclosed at the time of publication.
AI and Robotics
NVIDIA RTX PRO 4500 Blackwell Workstation Edition Enhances AI in Manufacturing Workflows
The NVIDIA RTX PRO 4500 Blackwell Workstation Edition, offered by PNY, is designed to meet the demands of modern manufacturing. It features advanced 5th Gen Tensor Cores, 4th Gen RT Cores, and NVIDIA CUDA cores, enabling groundbreaking AI acceleration and neural rendering. This workstation empowers professionals to tackle complex design challenges and streamline workflows, ultimately enhancing productivity and innovation. As manufacturers increasingly adopt smart technologies, the RTX PRO 4500 Blackwell Workstation Edition provides the necessary performance to keep pace with evolving industry needs. By offloading intensive processes from the CPU and handling graphics and AI in parallel, it reduces bottlenecks and allows teams to focus on creative and technical tasks. This leads to faster product development cycles and improved collaboration across teams. Looking ahead, the RTX PRO 4500 Blackwell Workstation Edition is positioned to support the growing integration of AI and digital twins in manufacturing. With its 32 GB of GDDR7 memory, it enables local execution of complex AI workflows, facilitating the automation of design and simulation processes. No further timeline was disclosed at the time of publication.
NVIDIA Spectrum-6 Launches in Gigascale AI Factories to Enhance Performance
NVIDIA has introduced the Spectrum-6, a 102.4-terabit-per-second Ethernet switch system, to the world's gigascale AI factories. This new system, part of the NVIDIA Vera Rubin platform, offers double the capacity of its predecessors, enhancing the networking capabilities essential for training advanced AI models and generating intelligence at scale. The deployment of Spectrum-6 is significant as it allows leading AI infrastructure builders like CoreWeave, Microsoft, Nebius, SpaceXAI, and Tesla to optimize their AI factories. This technology enables a unified, high-performance resource for cloud providers, facilitating faster model training and inference service deployment, which is crucial for meeting the demands of complex AI workloads. Looking ahead, the integration of Spectrum-6 is expected to improve GPU coordination and resilience in AI operations, leading to quicker results and better economic outcomes. CoreWeave, Microsoft, and Nebius are among the first to implement this technology, which will benefit a wide range of developers and enterprises in the AI sector. No further timeline was disclosed at the time of publication.
NVIDIA Vera Rubin NVL72 Achieves Gigascale Performance with Lowest Token Cost for Partners
NVIDIA has launched the Vera Rubin NVL72, which is ramping up production across partners including CoreWeave, Google Cloud, Microsoft Azure, and Oracle Cloud Infrastructure. This platform boasts the largest rack-scale supply chain, spanning over 350 factory sites in 30 countries, designed to meet the increasing compute demands of AI applications. The Vera Rubin platform is engineered for optimal performance, delivering the highest performance per watt and the lowest token cost. CoreWeave's benchmark indicates a tenfold increase in throughput per megawatt compared to the Grace Blackwell NVL72, highlighting its efficiency for power-constrained AI factories. The system integrates seven chips and five rack trays, including the NVIDIA Vera CPU, which enhances single-threaded performance and reduces memory latency significantly. Looking ahead, NVIDIA's innovations in networking and cooling technologies, such as the sixth-generation NVLink and Spectrum-X Ethernet, promise to further enhance AI infrastructure capabilities. No further timeline was disclosed at the time of publication.
NVIDIA Announces Industrial AI Collaboration with Japan's Leading Manufacturers
On July 16, NVIDIA CEO Jensen Huang announced a significant partnership in Tokyo with major Japanese manufacturers such as Fanuc, Yaskawa Electric, and Kawasaki Heavy Industries. This collaboration aims to advance the deployment of physical AI in Japan, marking a pivotal moment in the industrial AI landscape. The launch of the Cosmos 3 Edge model, designed for edge devices, is a key component of this initiative, with over 20 Japanese industrial giants planning to join the Cosmos alliance. The Cosmos 3 Edge model, based on NVIDIA's Nemotron with 4 billion parameters, is tailored for the NVIDIA Jetson edge computing platform. Developers can adapt the model to specific robots, vehicles, or sensors in about a day, enabling real-time environmental perception and decision-making without cloud connectivity. Additionally, the NVIDIA Metropolis library enhances the speed of building video intelligence systems by at least six times, further facilitating the integration of AI in various industrial applications. As Japan transitions from a manufacturing powerhouse to a leader in physical AI, NVIDIA is positioning itself as the foundational computing infrastructure for this industrial revolution. The involvement of companies like Fanuc, Kawasaki, and Yaskawa signifies a shift from technology demonstrations to practical applications on factory assembly lines, showcasing the tangible impact of physical AI in the industry.
Industrial AI Robotics Edge Computing Automation Manufacturing Technology
NVIDIA Expands Agent Toolkit with Omniverse Libraries for Enhanced Simulation Capabilities
NVIDIA has announced the integration of NVIDIA Omniverse libraries into the NVIDIA Agent Toolkit, enhancing AI agents' capabilities to prepare 3D content for simulation. This development is crucial as robots and autonomous systems require thorough testing in simulated environments before real-world deployment. The addition of Omniverse libraries allows AI agents to build workflows, inspect scenes, and prepare assets, significantly accelerating the transition from 3D content to simulation-ready environments. Jensen Huang, NVIDIA's CEO, emphasized that the future of physical AI will be rooted in simulation, highlighting the importance of this toolkit in the development of robotics and industrial AI. Software makers like SideFX and PTC are already leveraging these libraries to enhance their applications, integrating features such as sensor simulation and asset validation. As more developers adopt these tools, the focus will be on how they can streamline workflows and improve the efficiency of creating simulation-ready content. No further timeline was disclosed at the time of publication.
NVIDIA Showcases Advances in Graphics and Simulation at SIGGRAPH Conference
At the SIGGRAPH conference in Los Angeles, NVIDIA is highlighting advancements in graphics and AI technologies. The keynote, featuring NVIDIA leaders, focuses on neural rendering and simulation methods that enhance creative workflows. With the introduction of the Model Context Protocol (MCP), AI agents can now assist artists in various tasks while maintaining human control over creative decisions. This development is significant as it marks a shift in how creative applications operate, making them agent-ready and improving efficiency in the production process. NVIDIA's technologies, including GPU-accelerated tools and real-time simulation, have been pivotal in the creative industries for over two decades, and the MCP is set to further enhance this by integrating AI capabilities directly into existing workflows. Looking ahead, the integration of MCP across creative platforms, including Adobe's expansion of its AI Assistant, indicates a growing trend towards more collaborative AI tools in creative environments. No further timeline was disclosed at the time of publication.
Bristol Myers Squibb Launches Advanced AI Factory with NVIDIA Vera Rubin Technology
Bristol Myers Squibb (BMS) has announced the deployment of its second NVIDIA DGX SuperPOD, featuring eight DGX Vera Rubin NVL72 systems. This new AI cluster is touted as the most powerful and energy-efficient in the life sciences sector, significantly enhancing researchers' access to AI capabilities. BMS aims to democratize AI access among its scientists, allowing for faster drug discovery processes without the constraints of resource limitations. The introduction of this advanced AI infrastructure is crucial for BMS as it seeks to translate AI capabilities into measurable impacts in drug discovery. The new system will facilitate a unified AI platform, including the NVIDIA BioNeMo Agent Toolkit, which will streamline predictions and model training across the drug discovery pipeline. BMS has already seen substantial benefits from its existing DGX SuperPOD, including significant time savings in target identification and the expansion of its library of CELMoD compounds. Looking ahead, BMS is focused on leveraging AI to optimize lead discovery and enhance the efficiency of laboratory experiments. The new system is expected to alleviate current computational bottlenecks and support large-scale predictions. As BMS continues to innovate in the AI space, it emphasizes the importance of making advanced technology accessible to scientists to drive impactful research outcomes. No further timeline was disclosed at the time of publication.
Exploring China's Equivalent of NVIDIA at WAIC: Advancements in Robotics
At this year's WAIC, the spotlight in the robotics exhibition was on humanoid robots capable of complex movements, such as walking, dancing, and conversing. However, the real challenge lies in how these robots handle unpredictable real-world scenarios, such as identifying and scanning barcodes from randomly placed products. This capability is crucial for robots to transition from theoretical demonstrations to practical applications. The significance of these advancements is profound, as they reflect a shift in the robotics industry from rigid programming to adaptive learning. Robots must now operate in dynamic environments, requiring them to understand physical laws and continuously learn from their experiences. This evolution indicates a competitive transition where the focus is not just on the robots themselves but on the infrastructure that enables ongoing learning and adaptation. Looking ahead, the industry is poised for a transformation similar to that seen in AI, where NVIDIA played a pivotal role. The next phase of robotics will depend on establishing foundational systems that allow robots to learn from real-world data and simulations. As companies like Kuawei develop datasets and simulation engines, they aim to become the driving force behind the physical AI era, ensuring that robots can evolve and adapt effectively in various environments.
Humanoid Robots AI Infrastructure Robotics Learning Data Collection Simulation Technology
Japan Allocates $2.4 Billion for 27,500 NVIDIA Rubin Chips to Establish National Robotics Initiative
On July 16, the Japanese government announced a plan to purchase 27,500 next-generation Rubin architecture AI chips from NVIDIA, totaling approximately $2.4 billion. This initiative aims to build a national AI data center and develop domestic robotics foundational models, marking one of the largest national GPU procurements globally. The project is coordinated by Noetra Corp., a policy-driven AI company set to launch in January 2026, with participation from major Japanese firms like Sony, SoftBank, NEC, and Honda. The Rubin chips will be deployed in a large data center in Sakai City, Osaka, with operations expected to begin in June 2028. Noetra aims to release its first general AI model by March 2027, followed by specialized AI models for robotics applications. Japan's investment reflects its response to ongoing demographic challenges and labor shortages. NVIDIA's CEO emphasized the potential for automation and AI to revitalize the economy. The Japanese government has set a goal to capture over 30% of the global robotics market by 2040, with the Rubin order being part of a broader strategy to reduce reliance on foreign technology and enhance national security.
AI Chips Robotics National AI Strategy Data Centers
Japan Allocates $2.4 Billion for AI Development with NVIDIA Chip Acquisition
On July 16, Japan's Ministry of Economy, Trade and Industry announced a significant investment of 387.3 billion yen (approximately $2.4 billion) to support the AI company Noetra. This funding will be used to procure around 27,500 NVIDIA Rubin GPUs for the establishment of a national AI data center, marking one of the largest single-country chip procurements globally. This initiative is crucial as Japan aims to address its declining population and severe labor shortages. The government has set a clear target to capture over 30% of the global 60 trillion yen robotics market by 2040. Noetra, which was established in January 2026 and includes major companies like Sony, SoftBank, NEC, and Honda, aims to develop advanced multimodal AI models capable of understanding Japanese language and recognizing various forms of media. Looking ahead, Noetra plans to release its first general-purpose AI model by March 2027, followed by continuous iterations and specialized models for robotics applications. The deployment of the Rubin chips in a large data center in Sakai, Osaka, is scheduled for June 2028, positioning Japan to lead in the next era of AI and robotics integration.
AI Technology Robotics NVIDIA Chips Data Centers
NVIDIA's CEO Jensen Huang Announces Expansion of Physical AI Collaboration in Japan
On July 16, NVIDIA CEO Jensen Huang announced an expansion of collaboration with Japanese companies in the field of 'physical AI' during an event in Tokyo. This initiative marks a strategic move to integrate NVIDIA's technology into Japan's manufacturing sector, particularly through a partnership with Toyota to develop AI models for the Woven City traffic control system. The collaboration with Toyota is central to NVIDIA's strategy, as the company will provide GPUs and development tools to Toyota's subsidiary, Woven by Toyota. This partnership aims to embed NVIDIA's technology into the city's digital twin platform, Omniverse, enhancing factory production and driving manufacturing robots with the Isaac platform. Additionally, Huang revealed plans to deepen cooperation with major Japanese industrial automation firms, including Fujitsu, Fanuc, Yaskawa Electric, and Kawasaki Heavy Industries, as part of the Cosmos Coalition. This initiative aims to strengthen Japan's position in the global AI robotics market, with a government goal of achieving a 30% market share by 2040. No further timeline was disclosed at the time of publication.
Physical AI Robotics Industrial Automation AI Technology
NVIDIA's Vera Rubin Enhances Intelligence per Dollar for Continuous Agentic AI Post-Training
NVIDIA's Vera Rubin is redefining post-training workloads for agentic AI, emphasizing continuous adaptation and refinement. Unlike traditional models, agentic AI requires ongoing adjustments as environments and tools evolve, making post-training a critical, never-ending process. This shift necessitates a new compute pattern, focusing on maximizing intelligence per dollar through efficient forward and backward passes in the learning cycle. The significance of this development lies in its potential to enhance the efficiency of AI models. By optimizing cost per token during inference, NVIDIA aims to improve the overall intelligence per dollar, ensuring that models remain valuable as they adapt to changing conditions. This continuous learning approach allows models to not only respond to prompts but also to plan and recover from challenges in real-time, thereby increasing their operational effectiveness. Looking ahead, the integration of NVIDIA's NeMo libraries will facilitate the transition from bespoke research to scalable infrastructure for post-training. As the demand for agentic AI grows, the focus will be on how effectively these models can adapt and learn in dynamic environments, ultimately determining their value in practical applications. No further timeline was disclosed at the time of publication.
Nvidia Launches Cosmos 3 Edge AI Model and Expands Physical AI Ecosystem in Japan
Nvidia has introduced its new AI model, Cosmos 3 Edge, aimed at enhancing physical AI applications in Japan. This model is designed to help systems perceive and navigate real-world environments, marking a significant step in Nvidia's strategy to penetrate the physical AI market. The expansion is part of CEO Jensen Huang's visit to Japan, where Nvidia is forming partnerships with local industrial leaders such as Fujitsu, Hitachi, and Kawasaki Heavy Industries. Huang emphasized the potential for Japan to reinvent its manufacturing sector for intelligent industries, highlighting the country's historical significance in modern manufacturing. Looking ahead, Nvidia is also targeting Japan's healthcare and biotechnology sectors, collaborating on initiatives like the Tokyo-1 AI drug discovery consortium. With Japan's AI market projected to reach $27.9 billion by 2029, Nvidia's efforts could significantly influence the landscape of AI adoption in the region. No further timeline was disclosed at the time of publication.
Japan Plans Acquisition of 27,500 Nvidia Rubin Chips for Domestic AI Robotics Development
Japan is set to purchase 27,500 next-generation Rubin chips from Nvidia Corp. to develop a foundational AI model tailored for robotics. This initiative aims to enhance Japan's capabilities in creating sovereign AI systems that can be integrated into various robotic applications. The acquisition of these chips is significant as it represents Japan's commitment to advancing its technological independence in the field of artificial intelligence. By building a homegrown AI model, Japan seeks to strengthen its position in the global robotics market and reduce reliance on foreign technologies. Looking ahead, the focus will be on how effectively Japan can leverage these Rubin chips to create a robust AI framework for robots. No further timeline was disclosed at the time of publication.
Fujitsu Leads Initiative to Integrate Nvidia Technology in Japanese Robotics and AI
Fujitsu, a prominent Japanese communications company, is spearheading an initiative to integrate Nvidia's technology into artificial intelligence applications. This collaboration aims to merge Japan's advanced manufacturing capabilities in robotics with cutting-edge AI solutions. The significance of this initiative lies in its potential to enhance the efficiency and effectiveness of robotics in various sectors. By leveraging Nvidia's technology, Fujitsu seeks to position Japan at the forefront of the global AI and robotics landscape, showcasing the country's strengths in innovation and manufacturing. Looking ahead, industry stakeholders will be keen to observe the developments stemming from this collaboration. No further timeline was disclosed at the time of publication, but the integration of Nvidia's technology could lead to significant advancements in physical AI applications within Japan's robotics sector.
Robotics
Japan's Leading Robot Manufacturers Collaborate with Nvidia on AI-Enabled Hardware
Nvidia Corp. has announced an expanded collaboration with four prominent Japanese industrial automation companies to enhance robot development. This partnership aims to support Jensen Huang's initiative to advance AI-enabled hardware in the robotics sector. The collaboration is significant as it underscores the growing importance of integrating AI capabilities into robotics, which can lead to more efficient and intelligent automation solutions. By leveraging Nvidia's expertise in AI, these Japanese companies are positioning themselves to remain competitive in the rapidly evolving industrial landscape. Looking ahead, it will be crucial to monitor the outcomes of this collaboration and how it influences the development of AI-driven robotic technologies. No further timeline was disclosed at the time of publication.
Nvidia Collaborates with Toyota's Woven City to Advance Physical AI Technologies
Nvidia has announced a partnership with Toyota's Woven City, a smart city located in Shizuoka prefecture, Japan. This collaboration aims to enhance the implementation of artificial intelligence technologies in traffic management systems within the city. By providing foundational technologies, Nvidia seeks to accelerate the adoption of AI solutions in Japan. This partnership is significant as it aligns with Nvidia's strategy to expand its influence in the AI sector, particularly in Japan, where smart city initiatives are gaining momentum. Woven City serves as a testing ground for innovative technologies, making it an ideal location for Nvidia to showcase its capabilities in AI and traffic management. Looking ahead, the collaboration between Nvidia and Woven City may lead to further advancements in smart city technologies and AI applications. No further timeline was disclosed at the time of publication.
NVIDIA and Noetra Corp. Launch Japan's First National AI Infrastructure for Physical AI
NVIDIA has partnered with Noetra Corp. to establish the NVIDIA Vera Rubin AI factory, featuring 13,750 NVIDIA Vera CPUs and 27,500 NVIDIA Rubin GPUs. This initiative, supported by Japan’s AI and industrial leaders, represents the world’s first national AI infrastructure dedicated to physical AI, enhancing the country’s capabilities across various sectors including manufacturing and healthcare. The establishment of this AI factory is significant as it aims to strengthen Japan's AI ecosystem and support the FRONTia Project, which focuses on developing multimodal foundation models for AI robotics and physical AI. The collaboration is expected to leverage Japan's manufacturing expertise and real-world industrial data to create reliable AI models that can address global social challenges. Looking ahead, the AI factory is designed to support the training of trillion-parameter-scale AI models, positioning Japan to capture over 30% of the global AI robotics market by 2040. As the factory expands, it will provide organizations with access to advanced AI environments, paving the way for innovations in intelligent manufacturing and robotics.
NVIDIA Launches Jetson Thor Modules to Enhance Robotics and Edge AI Applications
NVIDIA has unveiled the T3000 and T2000 modules based on the Thor architecture, designed to meet the growing demand for compact AI supercomputers in robotics and edge AI. These modules enable mass-market deployment of advanced humanoid and robotic systems, with notable adoption from leading companies such as Amazon Robotics and Boston Dynamics. The introduction of the Jetson T3000 and T2000 modules is significant as they provide high-performance AI compute capabilities in a smaller form factor, achieving up to 865 FP4 teraflops for the T3000. This advancement allows developers to optimize their systems while reducing costs, particularly in light of rising memory prices. The T2000 serves as an entry point for a wider range of edge AI applications, further expanding NVIDIA's scalable edge AI platform. Looking ahead, the new Jetson modules are expected to facilitate faster deployment and lower system costs across various industries. Companies like UBTech and Agile Robots have already reported substantial memory savings, indicating a trend towards more efficient development processes in robotics. No further timeline was disclosed at the time of publication.
NVIDIA and SEGA Showcase Full-Stack AI and Robotics Innovations in Japan
NVIDIA and its partners in Japan are demonstrating advancements in AI and robotics, highlighting the country's role as a global technology hub. The collaboration with SEGA marks over 30 years of partnership, bringing the new VIRTUA FIGHTER CROSSROADS to NVIDIA's RTX Spark superchip, enhancing gaming experiences on Windows PCs. This collaboration is significant as it showcases how NVIDIA's technologies are integrated into gaming, emphasizing the evolution of graphics and AI capabilities. The RTX Spark superchip aims to provide gamers with innovative experiences while maintaining the legacy of SEGA's iconic franchises, illustrating the synergy between AI and gaming. Looking ahead, the NVIDIA RTX Spark ecosystem is expected to expand further, offering new opportunities for gamers and developers alike. No further timeline was disclosed at the time of publication.
Kawasaki Heavy and Nvidia Collaborate on AI-Driven Shipyard in Japan
Kawasaki Heavy Industries and Nvidia have announced a partnership to create a cutting-edge shipyard in Japan that will utilize artificial intelligence. This initiative aims to enhance productivity and address labor shortages in the shipbuilding sector by leveraging Nvidia's digital twin technology. The collaboration is significant as it represents a strategic move by Kawasaki Heavy to modernize its operations and improve efficiency through advanced technology. By integrating AI and robotics, the shipyard is expected to streamline processes such as welding, which is critical in ship construction, thereby mitigating the impact of the ongoing labor crunch in the industry. Looking ahead, the development of autonomous robots capable of performing essential tasks at shipyards will be a key focus of this partnership. No further timeline was disclosed at the time of publication.
Japanese Enterprises and Startups Develop Industry-Specific AI Using NVIDIA Nemotron Models
NVIDIA has announced that prominent Japanese enterprises, startups, and research institutions are leveraging NVIDIA Nemotron™ open models to create industry-specific AI applications. This initiative aims to accelerate the development of AI solutions tailored to Japan's unique language, industries, and workforce needs. The significance of this development lies in its potential to address Japan's aging population and workforce transition, which has heightened the demand for localized AI solutions. Jensen Huang, founder and CEO of NVIDIA, emphasized the importance of open models in enabling nations and organizations to control their AI infrastructure, thereby fostering innovation and productivity. Looking ahead, various Japanese developers are customizing NVIDIA Nemotron models for specialized applications, such as financial-document translation and telecom network operations. No further timeline was disclosed at the time of publication.
Japan's Leaders in Robotics and Manufacturing Leverage NVIDIA Cosmos for Physical AI Advancements
NVIDIA has announced that Japan's leaders in physical AI are utilizing the NVIDIA Cosmos™, Isaac™, Metropolis, and Jetson™ platforms to enhance the deployment of intelligent machines across various sectors including manufacturing and robotics. The introduction of Cosmos 3 Edge aims to provide advanced capabilities for real-time reasoning and action prediction in robots, marking a significant step in integrating intelligence into physical systems. This initiative is crucial as Japan's established strengths in robotics and manufacturing position it to lead in the next wave of AI development. Jensen Huang, NVIDIA's CEO, emphasized the unique opportunity for Japan to reinvent modern manufacturing through intelligent technologies, combining its heritage in precision engineering with NVIDIA's advanced platforms. Looking ahead, NVIDIA is expanding the Cosmos Coalition to include Japan's physical AI leaders, enabling collaboration on open world models. This coalition will facilitate the testing and optimization of physical AI systems, potentially transforming operations across various industries such as logistics, healthcare, and construction. No further timeline was disclosed at the time of publication.
Booster Robotics Launches Booster T2 Humanoid Robot with NVIDIA Thor Computing Power
Booster Robotics has introduced the Booster T2, a humanoid robot platform aimed at real-world applications and embodied AI research. The T2 Pro version utilizes NVIDIA’s Thor chip, delivering up to 2,070 TFLOPS for real-time perception and control. The robot is designed for tasks requiring mobility and manipulation, showcasing advanced capabilities such as walking, dynamic balance, and athletic movements. The significance of the Booster T2 lies in its integration of cutting-edge technology and open development. With features like whole-body coordination and onboard AI computing, it supports a wide range of applications in robotics. The introduction of Booster Studio, an open software platform, further enhances its utility by allowing developers to simulate and deploy AI models effectively. Looking ahead, the Booster T2 is positioned to advance research in embodied AI and robotics. Its robust design, including 31 degrees of freedom and multiple hardware configurations, makes it suitable for various manipulation tasks. No further timeline was disclosed at the time of publication.
AI and Robotics
NVIDIA Open Sources Embodied Intelligence Toolchain to Enhance Robotics Development
On July 6, NVIDIA integrated three key components into Hugging Face's open-source robotics library, LeRobot: the GR00T N1.7 model, Isaac Teleop framework, and the upcoming Cosmos 3. This collaboration connects NVIDIA's 3 million robot developers with Hugging Face's 16 million AI builders, facilitating access to pre-trained models and data. This initiative is significant as it shifts NVIDIA's focus from merely creating models to building an ecosystem that addresses data bottlenecks in embodied intelligence development. The Isaac Teleop framework standardizes data collection, allowing for easier sharing and reuse within the community, which is crucial for advancing robotics. Looking ahead, the integration of GR00T N1.7 and Isaac Teleop into the LeRobot workflow marks a pivotal moment for robotics developers. No further timeline was disclosed at the time of publication.
Robotics Open Source AI Development Data Collection Machine Learning
NVIDIA and Hugging Face Enhance LeRobot with New AI Models and Frameworks
NVIDIA has expanded its collaboration with Hugging Face to enhance the LeRobot open-source robotics platform with new AI models and frameworks. This integration includes the NVIDIA Isaac GR00T 1.7 vision-language-action model and the Isaac Teleop framework, aimed at streamlining robot development. The partnership seeks to make advanced robotics tools more accessible to developers and researchers, with plans to incorporate NVIDIA Cosmos 3 in the future. This collaboration is significant as it addresses the fragmented nature of robotics development by providing standardized workflows for data collection, model training, and robot deployment. The introduction of the Isaac Teleop framework allows for high-quality training data collection through human demonstrations, which can be shared within the LeRobot ecosystem. By lowering barriers to entry, NVIDIA and Hugging Face aim to foster broader collaboration in the robotics community. Looking ahead, NVIDIA plans to integrate the Cosmos 3 model into LeRobot, which will generate synthetic robotics data and assist in policy development. The collaboration builds on existing resources, including a dataset with over 350,000 robot trajectories and 57 million grasp examples. No further timeline was disclosed at the time of publication.
AI and Robotics
NVIDIA and Hugging Face integrate AI model "GR00T 1.7" into open-source robot development platform "LeRobot."
NVIDIA and Hugging Face have announced the integration of their cutting-edge technologies aimed at enhancing humanoid robots. The collaboration will see the incorporation of NVIDIA's visual language action (VLA) model, known as NVIDIA Isaac GR00T 1.7, along with the remote operation framework, NVIDIA Isaac Teleop, into Hugging Face's open-source robot development library, LeRobot. This initiative is set to advance the capabilities of humanoid robots, enabling more sophisticated interactions and functionalities. The announcement highlights a significant step in the ongoing evolution of robotics, reflecting both companies' commitment to fostering innovation in the field.
NVIDIA Halos for Robotics: A New Era for Industrial Robot Safety
Recent advancements in industrial robotics have marked a significant milestone in the integration of physical artificial intelligence. Over the past few years, the field has experienced unprecedented growth, evolving beyond mere data analysis and text generation. Now, AI technology is enabling machines to perceive their surroundings, make real-time decisions, and interact directly with their environment. This evolution is exemplified by NVIDIA's latest innovations, which are set to enhance the safety and functionality of industrial robots. As these developments unfold, the landscape of robotics is transforming, paving the way for smarter and more autonomous machines in various industries.
À la une IA Industrie Robotique automatisation industrielle. cobot industriel
NVIDIA's Halos for Robotics: A New Era for Industrial Robot Safety
Recent advancements in industrial robotics have marked a significant milestone in the integration of physical artificial intelligence. Over the past few years, the field has experienced unprecedented growth, with AI evolving beyond mere data analysis and text generation. Now, machines equipped with this technology can perceive their surroundings, make real-time decisions, and interact directly with their environment. This transformation is highlighted in a recent article discussing NVIDIA's Halos for Robotics, which emphasizes the new era of safety in industrial robots. The developments signal a shift in how robots operate, enhancing their capabilities and effectiveness in various industrial applications.
À la une IA Industrie Robotique automatisation industrielle. cobot industriel
Kawasaki Heavy Industries opens Physical AI Center in San Jose, California, with a congratulatory message from NVIDIA's Jensen Huang.
Kawasaki Heavy Industries, Ltd. announced the opening of its Kawasaki Physical AI Center, scheduled for June 15, 2026. To mark this occasion, the company released a video message from NVIDIA's CEO, Jensen Huang, on YouTube. The establishment of the center aims to enhance research and development in artificial intelligence and robotics, reflecting Kawasaki's commitment to innovation in these fields. The collaboration with NVIDIA underscores the importance of integrating advanced AI technologies into Kawasaki's operations, positioning the company at the forefront of technological advancements in the industry.
Teleexistence reveals humanoid's success in autonomous convenience store bagging using VLA and NVIDIA's "DreamZero."
On June 10, 2026, Teleexistence showcased a demonstration of autonomous operations using humanoid robots as part of the "Physical AI Fellowship 2026," a collaborative initiative supported by AWS, NVIDIA, and MassRobotics. The event highlighted the integration of NVIDIA's World Model, "DreamZero," showcasing advancements in robotic technology and artificial intelligence. This demonstration aims to illustrate the potential of physical AI in enhancing robotic capabilities and fostering innovation in the field.
NVIDIA unveils 320 billion-parameter self-driving model "Alpamayo 2 Super" to accelerate Level 4 robo-taxi development.
NVIDIA announced a significant expansion of its open AI model family, "NVIDIA Alpamayo," aimed at developing safe Level 4 robotic taxis. The announcement was made during the NVIDIA GTC Taipei event held on June 1, 2026, in Taipei, Taiwan. This initiative reflects NVIDIA's commitment to advancing autonomous vehicle technology, enhancing safety and efficiency in transportation. The expansion of Alpamayo is expected to play a crucial role in the future of urban mobility, as the company seeks to address the growing demand for innovative transportation solutions.
Microsoft and NVIDIA unveil next-gen PCs capable of 1 petaflop performance.
Microsoft and NVIDIA have unveiled a next-generation PC equipped with the NVIDIA RTX Spark, boasting an impressive AI performance of up to 1 petaflop. This announcement was made recently as part of their ongoing collaboration to enhance computing power. The new system features significant optimizations for Windows, aiming to expand the ecosystem of local AI agents, applications, and games. This development reflects both companies' commitment to advancing AI technology and improving user experiences across various platforms.
Microsoft unveils AI-focused mini PC "Surface RTX Spark Dev Box" featuring NVIDIA SoC.
At the recent Build 2026 conference, Microsoft unveiled its new AI-focused desktop PC, the Surface RTX Spark Dev Box. This powerful machine is equipped with NVIDIA's RTX Spark technology, delivering an impressive computational performance of up to 1 petaflop and featuring 128GB of memory. These specifications enable local inference and training of models with over 120 billion parameters. Additionally, the device comes pre-installed with a variety of development tools, catering to the needs of developers working in artificial intelligence and machine learning.
NVIDIA unveils its first open humanoid reference design, "Isaac GR00T."
NVIDIA has unveiled its first open-source humanoid robot reference design, named the NVIDIA Isaac GR00T Reference Humanoid Robot, aimed at advancing robotics research. This announcement was made recently, highlighting NVIDIA's commitment to fostering innovation in the field of robotics. The new design is expected to provide researchers and developers with a versatile platform to explore and develop robotic applications. By making the design open-source, NVIDIA aims to encourage collaboration and accelerate advancements in humanoid robotics, allowing a broader community to contribute to and benefit from this technology.
Microsoft announces "Surface Laptop Ultra" featuring NVIDIA's new RTX Spark chip for local execution of large AI models.
Microsoft has unveiled its latest high-performance laptop, the Surface Laptop Ultra, which features NVIDIA's new Arm processor, the RTX Spark. This innovative device is designed to deliver powerful AI computing capabilities, enabling users to run large AI models in local environments. The announcement highlights Microsoft's commitment to advancing technology that enhances productivity and performance for users seeking cutting-edge solutions.
Microsoft announces "Surface Laptop Ultra," designed with NVIDIA, enabling local execution of AI models.
Microsoft has unveiled its latest notebook, the Surface Laptop Ultra, marking a significant advancement in its product line. This new device is the first Surface model to feature the RTX Spark system-on-chip (SoC), which was co-designed with NVIDIA. The Surface Laptop Ultra boasts an impressive AI computing performance of 1 petaflop, allowing it to handle complex tasks efficiently. It is equipped with up to 128GB of unified memory, enabling the execution of models with 120 billion parameters locally. The highly anticipated laptop is set to be released in the fall of 2026, reflecting Microsoft's commitment to integrating cutting-edge technology into its devices to meet the growing demands of AI applications.
NVIDIA may return to the PC market with Arm SoCs "N1/N1X" hinting at future hardware for Windows.
NVIDIA and Microsoft are generating significant buzz on social media as they prepare for COMPUTEX TAIPEI 2026, scheduled for June 2026. The tech giants are hinting at developments within the "Windows on Arm" ecosystem, which is expanding across various market segments from high-end to low-end devices. This strategic focus aims to enhance the versatility and performance of Windows on Arm, positioning it as a key player in the evolving tech landscape. As anticipation builds for the event, industry experts are keen to decipher the implications of these announcements and what they may mean for the future of computing.
AI agents enhance autonomous inspections, revamping manual approval processes for drones and ground robots by DataRobot, Chevron, and NVIDIA.
DataRobot has announced a collaboration with Chevron U.S.A. Inc., a subsidiary of Chevron Corporation, to implement agent-based AI in edge environments. This partnership aims to enhance autonomous patrol and inspection operations at Chevron facilities. By leveraging advanced AI technology, the initiative seeks to improve operational efficiency and safety in the company's infrastructure.
Nvidia unveils open humanoid robot platform for robotics research
Nvidia has introduced the Nvidia Isaac GR00T Reference Humanoid Robot, an innovative open platform aimed at advancing research and development in physical artificial intelligence and general-purpose robotics. The announcement was made during the Nvidia GTC event in Taipei. This new platform integrates several cutting-edge technologies, including the Unitree H2 Plus humanoid robot, Sharpa Wave tactile five-finger hands, and the Nvidia Jetson Thor onboard computing system. The initiative is part of Nvidia's broader strategy to enhance capabilities in robotics, providing researchers and developers with a versatile tool to explore and innovate in the field of robotics and AI.
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Sharpa brings dexterous robot hands to Nvidia and Unitree humanoid reference design
Sharpa has unveiled the integration of its Wave tactile robot hands into the Unitree H2 Plus humanoid robot reference design, marking a significant advancement in robotics technology. This collaboration makes the Unitree H2 Plus the first dexterous humanoid platform to utilize Sharpa's tactile manipulation technology within Nvidia’s Isaac GR00T development framework. The companies aim to enhance the capabilities of robotics developers and researchers by providing a sophisticated platform that combines advanced tactile feedback with humanoid robotics. This integration is expected to facilitate innovative developments in the field, enabling more nuanced and effective interactions between robots and their environments.
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Nebius and Nvidia launch Physical AI Living Lab for European robotics startups
Nebius, a prominent AI cloud company, has launched the Physical AI Living Lab, a six-month initiative aimed at supporting robotics startups across Britain and Europe. This program provides participants with access to Nvidia’s advanced physical AI development tools alongside Nebius’s robust AI cloud infrastructure. The initiative addresses a significant challenge faced by early-stage robotics companies, which often lack the resources to create large-scale simulations, generate synthetic data, and utilize accelerated computing necessary for their development. By offering these essential tools and support, Nebius aims to foster innovation and growth within the robotics sector, ultimately enhancing the capabilities of emerging technologies in the field.
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RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
