{"id":109592,"date":"2025-08-25T19:47:10","date_gmt":"2025-08-25T19:47:10","guid":{"rendered":"https:\/\/www.newsbeep.com\/us\/109592\/"},"modified":"2025-08-25T19:47:10","modified_gmt":"2025-08-25T19:47:10","slug":"nvidia-blackwell-powered-jetson-thor-now-available-accelerating-the-age-of-general-robotics","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/us\/109592\/","title":{"rendered":"NVIDIA Blackwell-Powered Jetson Thor Now Available, Accelerating the Age of General Robotics"},"content":{"rendered":"<p align=\"left\">News Summary:<\/p>\n<p>&#13;<br \/>\n\tNVIDIA Jetson AGX Thor developer kit and production modules, robotics computers designed for physical AI and robotics, are now generally available.&#13;<br \/>\n\tOver 2 million developers are using NVIDIA\u2019s robotics stack, with Agility Robotics, Amazon Robotics, Boston Dynamics, Caterpillar, Figure, Hexagon, Medtronic and Meta among early Jetson Thor adopters.&#13;<br \/>\n\tJetson Thor, powered by NVIDIA Blackwell, offers 7.5x more AI compute and 3.5x greater energy efficiency compared with its predecessor, Jetson Orin, unlocking real-time reasoning inference, critical for highly performant physical AI applications.&#13;<br \/>\n\tJetson Thor solves one of the most significant challenges in robotics: enabling robots to have real-time, intelligent interactions with people and the physical world.&#13;<\/p>\n<p>NVIDIA today announced the general availability of the <a href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-thor\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">NVIDIA Jetson AGX Thor\u2122<\/a> developer kit and production modules, powerful new robotics computers designed to power millions of robots across industries including manufacturing, logistics, transportation, healthcare, agriculture and retail.<\/p>\n<p>Early adopters include industry leaders <a href=\"https:\/\/www.agilityrobotics.com\/content\/agility-robotics-powering-the-future-of-robotics-with-nvidia-jetson-thor\" rel=\"nofollow noopener\" target=\"_blank\" title=\"Agility Robotics\">Agility Robotics<\/a>, Amazon Robotics, Boston Dynamics, Caterpillar, Figure, Hexagon, Medtronic and Meta, while 1X, John Deere, OpenAI and Physical Intelligence are evaluating Jetson Thor to advance their physical AI capabilities.<\/p>\n<p>\u201cWe\u2019ve built Jetson Thor for the millions of developers working on robotic systems that interact with and increasingly shape the physical world,\u201d said Jensen Huang, founder and CEO of NVIDIA. \u201cWith unmatched performance and energy efficiency, and the ability to run multiple generative AI models at the edge, Jetson Thor is the ultimate supercomputer to drive the age of physical AI and general robotics.\u201d<\/p>\n<p>The Ultimate Platform for Next-Generation Robotics<br \/>&#13;<br \/>\nPowered by an NVIDIA Blackwell GPU and featuring 128GB of memory, Jetson Thor delivers up to 2,070 FP4 teraflops of AI compute to effortlessly run the latest AI models \u2014 all within a 130-watt power envelope.<\/p>\n<p>Compared with its predecessor, the <a href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-orin\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">NVIDIA Jetson Orin<\/a>\u2122, Jetson Thor delivers up to 7.5x higher AI compute and 3.5x greater energy efficiency to run any <a href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/generative-ai\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">generative AI<\/a> model \u2014 from vision language action models like <a href=\"https:\/\/developer.nvidia.com\/isaac\/gr00t\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">NVIDIA Isaac\u2122 GR00T N1.5<\/a> to popular large language and vision language models.<\/p>\n<p>The new system-on-module solves one of the most significant challenges in robotics: running multi-AI workflows to enable robots to have real-time, intelligent interactions with people and the physical world. Jetson Thor unlocks real-time inference, critical for highly performant physical AI applications spanning <a href=\"https:\/\/www.nvidia.com\/en-us\/use-cases\/humanoid-robots\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">humanoid robotics<\/a>, agriculture and surgical assistance.<\/p>\n<p>Global Robotics Leaders Build on Jetson Thor<\/p>\n<p>Jetson Thor is powered by the full-stack <a href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">NVIDIA Jetson\u2122 software platform<\/a>, built for physical AI and humanoid robotics, which supports any popular AI framework and generative AI model. It is also fully compatible with NVIDIA\u2019s software stack from cloud to edge, including <a href=\"https:\/\/www.nvidia.com\/en-us\/industries\/robotics\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">NVIDIA Isaac<\/a> for robotics simulation and development, <a href=\"https:\/\/developer.nvidia.com\/isaac\/gr00t\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">Isaac GR00T<\/a> humanoid robot foundation models, <a href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/intelligent-video-analytics-platform\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">NVIDIA Metropolis<\/a> for vision AI and <a href=\"https:\/\/developer.nvidia.com\/holoscan-sdk\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">NVIDIA Holoscan<\/a> for real-time sensor processing.<\/p>\n<p>Since its inception in 2014, the NVIDIA Jetson platform and NVIDIA\u2019s robotics stack have attracted over 2 million developers and a growing ecosystem of 150+ hardware system, software and sensor partners, with Jetson Orin enabling over 7,000 customers to use edge AI across industries. Jetson Thor pushes the frontier further for <a href=\"https:\/\/www.nvidia.com\/en-us\/use-cases\/video-analytics-ai-agents\/\" rel=\"nofollow noopener\" target=\"_blank\" title=\"\">visual AI agents<\/a> and complex robotic systems such as humanoids and surgical robots.<\/p>\n<p>World technology leaders in robotics are adopting Jetson Thor to power their next-generation robots.<\/p>\n<p>\u201cThe development of capable humanoid robots hinges on our ability to run powerful AI models directly on the robot, enabling real-time learning and interaction,\u201d said Brett Adcock, founder and CEO of Figure. \u201cNVIDIA Jetson Thor\u2019s server-class performance, delivered within a compact and power-efficient design, allows us to deploy the large-scale generative AI models necessary for our humanoids to perceive, reason and act in complex, unstructured environments.\u201d<\/p>\n<p>\u201cThe future of robotics in logistics depends on the ability to deploy increasingly intelligent and autonomous systems,\u201d said Tye Brady, chief technologist at Amazon Robotics. \u201cNVIDIA Jetson Thor offers the computational horsepower and energy efficiency necessary to develop and scale the next generation of AI-powered robots that can operate safely and effectively in dynamic, real-world environments, transforming how we move and manage goods globally.\u201d<\/p>\n<p>\u201cAs autonomous machines tackle more complex tasks in our customers\u2019 operations, edge computing is critical for real-time decision making,\u201d said Joe Creed, CEO of Caterpillar. \u201cNVIDIA Jetson Thor offers the AI performance we need to develop and deploy the construction and mining equipment of the future, enhancing precision, reducing waste and improving safety for our customers around the globe.\u201d<\/p>\n<p>Availability<br \/>&#13;<br \/>\nThe NVIDIA Jetson AGX Thor developer kit is available now starting at $3,499. Jetson T5000 production modules are available from worldwide distribution partners. Production systems and carrier boards can be purchased from embedded partners.<\/p>\n","protected":false},"excerpt":{"rendered":"News Summary: &#13; NVIDIA Jetson AGX Thor developer kit and production modules, robotics computers designed for physical AI&hellip;\n","protected":false},"author":2,"featured_media":109593,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[191,74],"class_list":{"0":"post-109592","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-computing","8":"tag-computing","9":"tag-technology"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/109592","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/comments?post=109592"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/posts\/109592\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media\/109593"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/media?parent=109592"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/categories?post=109592"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/us\/wp-json\/wp\/v2\/tags?post=109592"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}