Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Attract Lab Develops Digital Twin Environment Using NVIDIA Isaac Sim for Field Robot Validation
Attract Lab has established a digital twin development environment utilizing NVIDIA Isaac Sim. This integration allows for high-precision validation of their AI autonomous control system, AT-SYNAPSE, and ROS 2-based control stack for field robots before physical deployment. The field robot, AT-CART8, can be tested in a virtual space without modifying its control stack, leading to reduced prototype iterations, shorter development times, and improved quality. The significance of this development lies in addressing the challenges of testing field robots in real environments, particularly in logistics warehouses and medical facilities where safety and operational constraints limit validation time. Attract Lab aims to replicate real-world environments as digital twins, enabling thorough testing of the AT-CART8's autonomous movement, obstacle avoidance, and safety protocols in a controlled setting. Looking ahead, Attract Lab plans to fully integrate this environment into the development processes for UAVs, UGVs, and USVs, enhancing collaboration with companies and research institutions for joint development. The goal is to create a new development and deployment process that allows for virtual testing before actual implementation in customer facilities, thereby improving lead times and development quality.
LG to Launch Next-Generation Humanoid Robot Utilizing NVIDIA Isaac GR00T Technology
LG has announced the development of a next-generation bipedal humanoid robot, leveraging NVIDIA's Isaac GR00T technology. This innovative robot is set for a public unveiling in the first quarter of next year. The collaboration between LG and NVIDIA signifies a shift from strategic planning to tangible execution in the robotics field. By utilizing NVIDIA's advanced humanoid foundation model, LG aims to enhance the capabilities of humanoid robots, potentially impacting various applications. As the unveiling approaches, industry watchers should keep an eye on the features and functionalities of this new robot. The integration of NVIDIA's technology could set new standards in humanoid robotics, making it a significant development to follow in the upcoming months.
VicOne Launches Free Radeis Extension for NVIDIA Isaac Sim to Enhance Robot Cybersecurity Testing
VicOne Inc. has introduced the free VicOne Radeis Extension for NVIDIA Isaac Sim, aimed at enabling robotics developers to simulate and test the impact of cyber-attacks on robot behavior. This release comes as the industry shifts towards deploying robots at scale, necessitating robust cyber-safety validation alongside functional testing. The importance of this extension lies in its ability to help developers address cybersecurity risks early in the development process. Max Cheng, CEO of VicOne, emphasized that as robotics companies move towards real-world deployment, ensuring reliability in the face of digital system compromises is crucial. The extension transforms DEF CON research into practical simulation scenarios, promoting the development of resilient physical AI. Looking ahead, VicOne's efforts to integrate cybersecurity validation into robotics development will be critical as the industry evolves. The company has already identified over 180 zero-day vulnerabilities and continues to enhance its threat intelligence capabilities. No further timeline was disclosed at the time of publication.
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NVIDIA and KAIST Establish AI Research Lab to Propel Innovation in South Korea
NVIDIA and the Korea Advanced Institute of Science and Technology (KAIST) have launched a joint AI research laboratory at the KAIST Kim Jaechul Graduate School of AI in Seoul. This initiative aims to advance agentic AI tailored for South Korea, leveraging NVIDIA's full-stack AI expertise and open models alongside KAIST's scientific talent. The collaboration is significant as it positions South Korea as a leader in AI research, with Bill Dally from NVIDIA highlighting the country's advanced technology ecosystem. The lab will focus on accelerating AI models and systems that cater to local industries and language, fostering a strong academic research program. Looking ahead, the lab plans to fund at least 10 KAIST researchers annually and provide internship opportunities at NVIDIA. The $300 million collaboration, which includes $50 million per year in compute contributions, aims to develop models optimized for Korean use cases, enhancing the nation's AI capabilities and promoting global academic-industry collaboration. No further timeline was disclosed at the time of publication.
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.
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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.
Palantir and NVIDIA Collaborate to Enhance Sovereign AI in Supply Chains
Palantir Technologies Inc. and NVIDIA have announced a partnership aimed at integrating sovereign AI into critical supply chains, beginning with NVIDIA's operations. This collaboration will utilize NVIDIA's Nemotron™ open models within Palantir's Foundry and Artificial Intelligence Platform (AIP), enhancing supply chain visibility and operational efficiency while ensuring data control. The significance of this initiative lies in its potential to transform supply chain management across various industries, including agriculture, manufacturing, and technology. By leveraging advanced AI capabilities, organizations can optimize their operations, identify constraints, and make informed decisions at unprecedented speeds, thereby improving the reliability of their supply chains. Looking ahead, the AI stack's applications will be showcased at Palantir’s AIPCon 11 conference, indicating a broader rollout of these technologies. As demand for AI infrastructure grows, the partnership aims to provide enterprises with the tools needed to build resilient and intelligent supply chains while maintaining control over proprietary data.
NVIDIA Collaborates with Australian Partners to Enhance AI Infrastructure Capacity
NVIDIA has announced a collaboration with a network of Australian NVIDIA Cloud Partners (NCPs) and AI infrastructure partners to expand land, power, and shell capacity for hosting NVIDIA DSX™ AI factories. This initiative aims to meet the increasing demand for AI compute in Australia, with a projected buildout of up to 2 gigawatts by 2027. The expansion is significant as it supports local innovators in developing AI models and applications, leveraging NVIDIA's full-stack DSX platform. This platform enhances productivity and durability, making AI factories a new asset class. The collaboration with Australian partners like Firmus and Sharon AI is expected to strengthen the local ecosystem and provide access to high-performance computing resources. Looking ahead, the initiative will enable Australian startups, researchers, and enterprises to harness world-class computing capabilities. No further timeline was disclosed at the time of publication.
AWS and NVIDIA Expand Collaboration with 2 Million Additional GPUs for AI Infrastructure
Amazon Web Services (AWS) and NVIDIA have announced a significant expansion of their partnership to address the increasing global demand for AI infrastructure. The companies plan to deploy an additional 2 million NVIDIA GPUs across AWS’s global infrastructure, enhancing their collaboration in AI factories, CPUs, networking, and robotics. This move aims to support the growing need for AI workloads, enabling customers to scale their operations in areas such as agentic AI and enterprise automation. This expansion is crucial as organizations transition from pilot projects to full-scale production, necessitating broader model choices and faster data processing capabilities. AWS and NVIDIA's joint efforts will provide customers with the confidence that their infrastructure can support innovative AI applications while maintaining security and reliability. The collaboration builds on 16 years of innovation, reflecting the increasing demand from various sectors, including frontier labs and governments. Looking ahead, AWS and NVIDIA's partnership is set to redefine AI compute capacity, with plans to introduce NVIDIA Blackwell Ultra GPUs and enhance networking performance for large-scale AI training. No further timeline was disclosed at the time of publication.
LG Electronics Enhances Robotics Partnership with NVIDIA at New Data Factory
LG Electronics has announced an acceleration of its robotics collaboration with NVIDIA. This announcement was made during a visit by senior NVIDIA officials to LG's Data Factory, which is currently under construction at the Yangjae R&D Campus in Seoul. The collaboration is significant as it combines LG's extensive manufacturing expertise with NVIDIA's advanced robotics technology. This partnership aims to explore new synergies that could enhance both companies' capabilities in the robotics sector. Looking ahead, the focus will be on how the collaboration can evolve and what new developments may arise from this partnership. No further timeline was disclosed at the time of publication.
Nvidia's Madison Huang to Discuss Robotics Collaboration at LG's Seoul Factory
Madison Huang, daughter of Nvidia CEO Jensen Huang, will visit LG Electronics' humanoid robot data factory in Seoul for discussions on robotics cooperation. The meeting is set to take place at LG's research and development campus, where the company is training humanoid robots in environments that mimic real-world settings. This visit is significant as it follows a recent meeting between Jensen Huang and LG Group Chairman Koo Kwang-mo, where they signed a memorandum of understanding to enhance strategic business cooperation. The collaboration aims to advance physical artificial intelligence and robotics, with LG developing a bipedal humanoid robot utilizing Nvidia's robotics platform, expected to be unveiled in the first quarter of 2027. As the partnership progresses, industry observers will be keen to see how the discussions unfold, particularly regarding the integration of Nvidia's Jetson Thor computing module and Isaac GR00T model into LG's robotics initiatives. No further timeline was disclosed at the time of publication.
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LG Group and Nvidia CEOs to Meet for AI Infrastructure and Robotics Collaboration
LG Group Chairman Koo Kwang-mo is set to meet Nvidia CEO Jensen Huang in Silicon Valley next week to enhance their collaboration in artificial intelligence infrastructure and robotics. This meeting follows their previous discussion in Seoul in early June, where they outlined plans for partnerships in humanoid robots and next-generation data centers. The significance of this meeting lies in the potential for substantial investments and advancements in technology development between the two companies. During their June meeting, Huang emphasized the importance of this partnership, which aims to leverage Nvidia's expertise in AI and LG's capabilities in robotics to create innovative solutions for the market. As both companies prepare for this crucial discussion, stakeholders will be watching closely for updates on investment sizes and timelines for technology development. No further timeline was disclosed at the time of publication.
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SpaceX and Nvidia Collaborate on Starmind AI1 Satellite with Rubin Chips for Orbital Computing
SpaceX and Nvidia have announced a partnership to develop the Starmind AI1 satellite, which will utilize Nvidia's Rubin GPUs and Vera CPUs for AI computing in low Earth orbit. This initiative aims to create a vast network of satellites, potentially reaching one million, forming a distributed AI supercomputer in space. The significance of this project lies in its potential to revolutionize AI processing capabilities beyond Earth, leveraging the advantages of solar energy and high-speed laser communication between satellites. SpaceX's commitment to using Nvidia's technology underscores the importance of this collaboration in advancing space computing. Looking ahead, prototype testing for the Starmind AI1 satellite is set for early 2027, with mass production anticipated later that year, contingent on regulatory approvals. The project could reshape the landscape of orbital infrastructure, significantly expanding the current satellite population and enhancing data processing capabilities in space.
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NVIDIA Launches Alpamayo 2 Super for Commercial Use in Robotaxis and Autonomous Vehicles
NVIDIA has announced the commercial availability of Alpamayo 2 Super, a cutting-edge model designed for robotaxis and autonomous vehicles (AVs). This model addresses complex, rare scenarios that traditional systems struggle to handle, enabling AVs to reason about situations and make safe decisions in real time. The significance of Alpamayo 2 Super lies in its open commercial licensing and advanced multitask capabilities, which enhance the AV ecosystem. By being part of the Alpamayo family, it supports a variety of AV-relevant functions within a single foundation model, allowing developers to adapt it to their specific needs and driving policies. Looking ahead, the application of the OpenMDW license across the Alpamayo model family facilitates a seamless transition from adaptation to deployment for AV developers. This model not only provides high-level reasoning capabilities but also promotes a sustainable approach to scaling safe autonomy in commercial fleets, ensuring that developers can efficiently integrate advanced reasoning into their workflows.
NVIDIA Collaborates with Cadence and Synopsys to Enhance EDA Workflows Using Vera CPU
NVIDIA is partnering with Cadence and Synopsys to optimize electronic design automation (EDA) applications for its Vera CPU. This initiative aims to enhance the design process for next-generation CPUs and GPUs, addressing the increasing complexity of chip design. By deploying Vera across EDA workflows, NVIDIA seeks to accelerate chip production and improve the pace of technological advancements in the industry. The collaboration is significant as it focuses on boosting EDA workloads, which are crucial for semiconductor development. With the Vera CPU architecture, NVIDIA aims to enhance performance in logic simulation, formal verification, and digital implementation, which are vital for validating chip designs. The ability to accelerate these processes can lead to faster product development and a more efficient design cycle. Early testing results indicate that Vera can significantly improve performance in critical EDA applications, with Cadence Jasper and Synopsys VCS showing up to 1.5x higher performance on selected workloads. NVIDIA's ongoing work with these companies on application profiling and system-level tuning suggests a commitment to enhancing engineering productivity across various workflows in the future. No further timeline was disclosed at the time of publication.
CMR and NVIDIA Enhance Surgical Robots with Predictive Capabilities
CMR Surgical and NVIDIA have unveiled a new capability of the Versius Plus surgical robot at the 2026 SRS conference, allowing it to predict post-action scenarios in surgical environments. This advancement marks a shift from mere execution to predictive intelligence in surgical procedures. The ability to foresee changes in the surgical area enhances decision-making for surgeons, potentially transforming the role of surgical robots from simple tools to intelligent assistants. CMR's CTO, Chris Fryer, emphasized the importance of leveraging global surgical data to provide deeper insights and support informed decisions. No further timeline was disclosed at the time of publication. The collaboration utilizes NVIDIA's Cosmos-H-Dreams platform, which refines the Open-H Embodiment dataset, enabling the prediction of anatomical changes based on current scenarios and proposed actions. This innovation represents a significant step towards the realization of AI-assisted surgery.
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South Korea and NVIDIA Collaborate on AI Development at San Francisco Summit
During the AI Summit in San Francisco, South Korean President Jae Myung Lee and leading business figures convened with NVIDIA to discuss the nation's AI advancements. This meeting follows NVIDIA CEO Jensen Huang's recent visit to South Korea and aims to bolster the country's AI infrastructure and expertise, positioning it as a global AI innovation hub. A significant outcome of the summit was the announcement of a joint AI research lab between NVIDIA and the Korea Advanced Institute of Science and Technology (KAIST) in Seoul. This lab, the first of its kind between a Korean university and a global tech company, will focus on advancing agentic AI and leverage NVIDIA's full-stack AI capabilities alongside KAIST's scientific talent. As the summit progresses, further updates are expected, including discussions between Huang and President Lee, as well as interactions with business leaders from Korea and the U.S. Notably, NVIDIA and SK Group have expanded their collaboration to enhance AI infrastructure, which includes plans for physical AI and robotics development in Korea.
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.
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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.
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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.
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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.
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.
SpaceX's Starmind Targets AI Labs with $6.3 Billion Compute Contracts
SpaceX's Starmind is designed to provide wholesale AI compute services to businesses, particularly AI labs and cloud customers, rather than individual consumers. The service operates similarly to AWS, where users benefit from applications running on Starmind without direct subscriptions. The compute capacity of a single AI1 satellite is comparable to one NVIDIA GB300 rack, emphasizing its enterprise-grade capabilities. The significance of Starmind lies in its positioning as a potential fourth hyperscaler, joining the ranks of AWS, Microsoft Azure, and Google Cloud. The Reflection AI contract, valued at $150 million per month, exemplifies the enterprise-focused model, with total payments potentially reaching $6.3 billion through 2029. This contract highlights the growing demand for AI compute resources, particularly from AI-native startups and labs. Looking ahead, the focus will remain on securing additional enterprise contracts as Starmind expands its offerings. No consumer-facing products or subscriptions have been announced, and the current strategy is to cater to businesses with substantial AI workloads. No further timeline was disclosed at the time of publication.
NVIDIA, Google, and Microsoft Collaborate on 800 VDC Power Architecture for AI Compute
NVIDIA, Google, and Microsoft are advancing the 800 VDC power architecture to enhance AI compute performance. This initiative addresses the inefficiencies of traditional AC power delivery by simplifying the conversion process, allowing more power to reach GPUs. The NVIDIA MGX-compatible 800 VDC power rack, set to launch in the second half of 2026, will enable existing facilities to upgrade without overhauling their electrical systems. The significance of this development lies in its potential to maximize compute density while preserving existing investments in infrastructure. By transitioning to a hybrid architecture, operators can scale their AI capabilities without the need for extensive modifications to their current setups. The roadmap includes a centralized power station for dedicated AI environments, expected in 2027, and a facility-scale unit for new designs, ensuring that the power architecture keeps pace with growing compute demands. Looking ahead, the 800 VDC architecture is positioned as a critical component for the future of AI infrastructure, with over 80 companies already contributing to its development. As global investments in AI and data infrastructure are projected to reach $9 trillion by 2040, the readiness of this power architecture will be essential for facilities aiming to meet increasing compute requirements.
NVIDIA and Hugging Face Collaborate to Enhance LeRobot Open Source Community with Physical AI
NVIDIA and Hugging Face have joined forces to enhance the LeRobot open-source robotics library by integrating NVIDIA's Isaac GR00T 1.7 and Isaac Teleop frameworks. This partnership, announced recently, seeks to streamline the robot development process for developers by offering a comprehensive, standardized open-source pathway that encompasses everything from data collection to deployment. The initiative is designed to significantly reduce the barriers to entry for developers venturing into physical AI development, making it more accessible and efficient.
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SpaceX's Starmind Project: Supplier Strategy and Chip Manufacturing Plans for 2026
SpaceX's Starmind project, aimed at deploying up to 1 million AI satellites, was filed with the FCC on January 30, 2026. The initiative is designed to minimize reliance on external suppliers, with CEO Elon Musk stating that current chip production capabilities only meet 2% of the projected needs. The first satellite, AI1, is set for prototype launches in early 2027, featuring a 70-meter wingspan and a modular payload system that allows for interchangeable chips from various suppliers. The significance of Starmind lies in its ambitious supply chain strategy, which seeks to transition from external hardware suppliers to a fully integrated Musk-owned facility by 2028. The Gigasat manufacturing site in Bastrop, Texas, is expected to be operational by the end of 2027, with plans for high-volume production of the D3 chip, specifically designed for space applications. This approach aims to consolidate chip manufacturing processes under the Terafab joint venture, which has an estimated initial investment of $55 billion. Looking ahead, the next milestone for Starmind is the launch of AI1 prototypes in early 2027, while the full-scale chip production at Terafab is projected to ramp up significantly thereafter. However, analysts express skepticism regarding the feasibility of achieving Musk's ambitious compute goals, which may require substantial investment and time to establish the necessary manufacturing capabilities.
SpaceX Unveils AI1 Satellite Specs for Starmind Constellation with Key Thermal Challenges
SpaceX has introduced the AI1 satellite, the inaugural component of its Starmind constellation, which stands 20 meters tall and has a wingspan of 70 meters. This orbital compute node is designed to deliver computing power equivalent to one NVIDIA GB300 server rack, utilizing a unique cooling system with deployable liquid radiators. The satellite's specifications were revealed during a presentation on June 8, 2026, ahead of SpaceX's IPO. The significance of the AI1 satellite lies in its role as a compute platform rather than a traditional satellite, focusing on running AI inference workloads. The satellite's cooling system, which is critical for its operation in the vacuum of space, is designed to reject heat through infrared radiation. However, independent engineers have raised concerns about the feasibility of the thermal and mass claims made by SpaceX, suggesting that the cooling requirements may exceed practical limits. Looking ahead, SpaceX plans to launch two AI1 prototypes in early 2027, with full-scale production expected to commence later that year at its Gigasat facility in Bastrop, Texas. The ongoing debate regarding the satellite's thermal management capabilities will be crucial to monitor as the project progresses, with no further timeline disclosed at the time of publication.
NVIDIA and AWS Collaborate to Bring AI to Production at Scale
NVIDIA has announced a collaboration with Amazon Web Services (AWS) aimed at enhancing the development of artificial intelligence systems. This partnership focuses on addressing the challenges of building AI at scale, which necessitates low-latency inference, rapid vector search capabilities, and effective GPU price-performance. The initiative is designed to provide infrastructure solutions that can expand without increasing operational complexity. This announcement comes as the demand for advanced AI technologies continues to rise, with organizations seeking efficient and scalable systems to leverage AI's potential. By combining NVIDIA's expertise in GPU technology with AWS's cloud services, the two companies aim to streamline the AI development process, making it more accessible for businesses looking to implement AI solutions.
FORT Robotics extends its Trust Layer for Physical AI by adding Outside-In Safety in collaboration with NVIDIA Halos for Robotics
Researchers have developed a groundbreaking approach to enhance robot perception by integrating external sensors with traditional on-board systems. This innovative method allows robots to dynamically adjust their behavior, significantly improving their operational efficiency. The advancements were made public in October 2023, showcasing the potential for robots to better navigate and interact with their environments. By utilizing additional sensory data, these robots can respond more effectively to changing conditions, ultimately leading to more reliable and versatile applications in various fields. This development represents a significant step forward in robotics, promising to transform how machines operate in complex settings.
NVIDIA Vera CPU Opens the Way for Agentic Scientific AI at Los Alamos National Laboratory
Los Alamos National Laboratory (LANL) is set to enhance its computational capabilities with the development of new supercomputers, named Mission, Vision, and Veritas, in collaboration with HPE and NVIDIA. This initiative aims to harness NVIDIA Vera CPUs to significantly accelerate scientific discovery and advance the integration of agentic AI in scientific research. The project underscores LANL's commitment to leveraging cutting-edge technology to address complex scientific challenges. The supercomputers are expected to play a crucial role in various research domains, facilitating breakthroughs that could have far-reaching implications for science and technology.
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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NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure
NVIDIA and Doosan Group have announced an expansion of their collaboration aimed at enhancing advancements in physical AI, robotics, and AI factory infrastructure. This partnership will encompass various sectors within Doosan, including Doosan Robotics, Doosan Bobcat, Doosan Enerbility, and Doosan Corporation Electro-Materials. The initiative, which reflects a strategic move to leverage NVIDIA's AI technology alongside Doosan's diverse industrial capabilities, is expected to create new opportunities and innovations in the rapidly evolving fields of robotics and AI-driven manufacturing. The collaboration is set to unfold in the coming months, with both companies committed to integrating cutting-edge AI solutions into their operations to improve efficiency and productivity.
Unitree Announces H2 Plus, an NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research
Unitree Robotics has unveiled the H2 Plus, a groundbreaking humanoid robot designed for academic research, which integrates advanced technologies from NVIDIA. Announced on June 1, 2026, the H2 Plus combines the Unitree H2 chassis with Sharpa five-fingered hands and is powered by the NVIDIA Jetson Thor, utilizing the NVIDIA Isaac GR00T development platform. This innovative reference design aims to streamline humanoid robotics research by providing a comprehensive hardware and software solution that eliminates the need for proprietary systems. The H2 Plus stands nearly six feet tall and weighs 150 pounds, featuring 31 degrees of freedom in its body and 22 in its hands, allowing for sophisticated manipulation and interaction. Equipped with multi-view sensing capabilities, including a stereo camera and wrist cameras, the robot is designed for real-world applications, enhancing its utility in various industries. Unitree's CEO, Xingxing Wang, emphasized that the H2 Plus offers developers a validated starting point for creating robotic skills, while NVIDIA's CEO, Jensen Huang, highlighted the potential economic opportunities that humanoid robots could unlock. By unifying the development process, the H2 Plus aims to accelerate advancements in physical AI, enabling researchers to transition from initial setup to skill development and practical validation more efficiently.
NVIDIA Announces NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research
NVIDIA has unveiled the NVIDIA Isaac™ GR00T Reference Humanoid Robot, marking a significant advancement in robotics technology. This innovative humanoid robot is the first of its kind to be built on the NVIDIA Jetson Thor™ platform and utilizes the NVIDIA Isaac GR00T open development framework. The announcement was made today, highlighting NVIDIA's commitment to pushing the boundaries of artificial intelligence and robotics. By providing an open reference design, NVIDIA aims to facilitate collaboration and innovation within the robotics community, enabling developers to create advanced applications for various industries. The introduction of the GR00T robot is expected to accelerate the development of humanoid robots capable of performing complex tasks, thereby enhancing automation and efficiency in multiple sectors.
TorqueAGI Announces Collaborations with NVIDIA, John Deere, and Dexterity to Advance Physical AI for Enterprise-Grade Robots
TorqueAGI has announced a strategic partnership with NVIDIA, John Deere, and Dexterity to enhance the deployment of Physical AI technologies in real-world applications. This collaboration aims to leverage the advanced computing capabilities of NVIDIA, the agricultural expertise of John Deere, and the automation solutions provided by Dexterity to create innovative AI-driven systems. The initiative, which was unveiled in October 2023, seeks to address the growing demand for intelligent automation across various industries, particularly in agriculture and manufacturing. By combining their strengths, the partners intend to accelerate the development and implementation of AI solutions that can improve efficiency, productivity, and decision-making processes in physical environments. This partnership marks a significant step forward in the integration of AI into everyday operations, paving the way for smarter, more responsive systems that can adapt to real-time challenges.
FANUC strengthens robot integration with NVIDIA Isaac Sim
FANUC is enhancing its robotics technology by integrating its robots and teach pendant with NVIDIA's simulation and artificial intelligence capabilities. This collaboration aims to improve the efficiency and intelligence of robotic operations, allowing for smoother and more adaptive actions in various applications. The integration leverages NVIDIA's Isaac Sim, a platform designed to facilitate advanced simulation and AI training for robots. This development marks a significant step forward in the robotics industry, as it combines FANUC's expertise in automation with NVIDIA's cutting-edge technology to create smarter, more responsive robotic systems.
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Vera Arrives: NVIDIA’s First CPU Built for Agents Lands at Top AI Labs
NVIDIA has begun delivering its highly anticipated Vera CPUs, with the first units arriving at three prominent AI laboratories on Friday. Anthropic in San Francisco, OpenAI in Mission Bay, and SpaceXAI in Palo Alto received the initial shipments, marking a significant step in advancing AI research and capabilities. Following this, Oracle Cloud Infrastructure in Santa Clara received its delivery on Monday. The introduction of the Vera CPUs is aimed at enhancing computational power for AI applications, enabling these organizations to push the boundaries of artificial intelligence technology. This rollout is part of NVIDIA's ongoing efforts to support the growing demand for advanced AI processing capabilities across various sectors.
NVIDIA and Google Cloud Collaborate to Advance Agentic and Physical AI
NVIDIA and Google Cloud have announced a significant milestone in their long-standing partnership, which has lasted over ten years. Together, they have developed a comprehensive AI platform that integrates various technology layers, including performance-optimized libraries, frameworks, and robust cloud services tailored for enterprise needs. This collaboration aims to enhance the capabilities of artificial intelligence applications, providing businesses with advanced tools and resources to leverage AI effectively. The initiative reflects both companies' commitment to driving innovation in the AI space and supporting organizations in their digital transformation journeys.
From Lab to Factory Floor: KUKA Unveils ‘KUKA AMP’ at NVIDIA GTC 2026 as a Software Bridge to New Growth
At the NVIDIA GTC 2026 event held from March 16 to 19 in San Jose, KUKA introduced the KUKA Automation Management Platform (KUKA AMP), a groundbreaking solution aimed at bridging the gap between artificial intelligence innovations and practical applications in the global labor market, valued at $30 trillion. This new platform is designed to address the complexities of real-world production constraints, enabling customers to effectively implement Physical AI in their operations. By focusing on systematizing processes rather than relying solely on demonstrations, KUKA aims to enhance productivity and efficiency in various industries.
NVIDIA Launches Nemotron Coalition of Leading Global AI Labs to Advance Open Frontier Models
NVIDIA has launched the NVIDIA Nemotron Coalition, a global initiative aimed at fostering collaboration among open model builders and AI developers. Announced today, this coalition seeks to enhance the development of advanced open models by facilitating shared research, expertise, data, and computational resources. The initiative is designed to accelerate innovation within the AI sector, addressing the growing demand for cutting-edge technologies. By bringing together a diverse group of stakeholders, NVIDIA aims to drive progress in AI development and ensure that advancements benefit a wider community.
NVIDIA and Thinking Machines Lab Announce Long-Term Gigawatt-Scale Strategic Partnership
NVIDIA has entered into a multiyear strategic partnership with Thinking Machines Lab, announced today, to deploy a minimum of one gigawatt of advanced NVIDIA Vera Rubin systems. This collaboration aims to enhance Thinking Machines' capabilities in frontier model training and the development of innovative platforms. The initiative underscores both companies' commitment to advancing artificial intelligence technologies and optimizing computational resources for complex data processing. The partnership is expected to significantly bolster the efficiency and effectiveness of AI model training, paving the way for breakthroughs in various applications.
NVIDIA and CoreWeave Strengthen Collaboration to Accelerate Buildout of AI Factories
NVIDIA and CoreWeave, Inc. have announced an expansion of their partnership aimed at accelerating the development of over 5 gigawatts of AI factories by 2030. This collaboration, which builds on their existing relationship, is designed to enhance the capabilities and infrastructure necessary for advancing artificial intelligence technologies. The announcement was made today, highlighting both companies' commitment to driving innovation in the AI sector. The strategic move is expected to significantly contribute to the growing demand for AI computing power, positioning CoreWeave as a key player in the industry.
NVIDIA and Lilly Announce Co-Innovation AI Lab to Reinvent Drug Discovery in the Age of AI
NVIDIA and Eli Lilly and Company have launched an innovative AI co-innovation lab aimed at addressing persistent challenges within the pharmaceutical sector. Announced today, this collaboration seeks to leverage artificial intelligence to enhance drug development processes and improve patient outcomes. By combining NVIDIA's advanced AI technology with Eli Lilly's expertise in pharmaceuticals, the lab is positioned to pioneer solutions that could transform the industry. The initiative reflects a growing trend in healthcare to integrate cutting-edge technology in order to streamline operations and accelerate the discovery of new treatments.
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