{"id":109,"date":"2026-07-17T19:03:21","date_gmt":"2026-07-17T12:03:21","guid":{"rendered":"https:\/\/www.free-le.com\/?p=109"},"modified":"2026-07-18T10:43:06","modified_gmt":"2026-07-18T03:43:06","slug":"nvidia-releases-large-scale-physical-ai-model-for-cosmos-3-edge-edge-devices","status":"publish","type":"post","link":"https:\/\/www.free-le.com\/index.php\/2026\/07\/17\/nvidia-releases-large-scale-physical-ai-model-for-cosmos-3-edge-edge-devices\/","title":{"rendered":"Nvidia releases large-scale physical AI model for Cosmos 3 Edge edge devices."},"content":{"rendered":"\n
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Date : July 16 2026<\/strong><\/p>\n<\/div>\n\n\n\n

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The model aims to free robots and smart hardware from dependence on the cloud, enabling fully localized real-time environmental perception, visual reasoning, and physical motion prediction directly on edge computing devices.<\/p>\n\n\n\n

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\ud83d\udee0\ufe0f Core Technical Specifications<\/strong><\/p>\n\n\n\n

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  • Model parameters and architecture<\/strong> : The model has 4 billion parameters<\/strong> and is built on the proprietary NVIDIA Nemotron\u2122 architecture<\/strong> , with a deep, ultra-lightweight reconstruction for mobile and embedded devices.<\/li>\n\n\n\n
  • Rapid adaptation within one day<\/strong> : Thanks to the open NVIDIA Cosmos framework, developers can seamlessly fine-tune and adapt the model to specific robot bodies, autonomous vehicles, sensors, or unique industrial operating environments in about one day<\/strong>.<\/li>\n\n\n\n
  • Development efficiency boosted by 6x<\/strong> : The new NVIDIA Metropolis library and skills<\/strong> suite introduces intelligent AI coding agents. This directly increases the efficiency of developing, fine-tuning, and managing intelligent video interaction systems by more than 6x<\/strong>.<\/li>\n\n\n\n
  • Seamless deployment across devices<\/strong> : The model is lightweight enough to run on edge GPUs. It will be fully deployed on NVIDIA RTX\u2122 GPUs<\/strong> for laptops\/workstations, NVIDIA DGX\u2122 platforms , and the next-generation NVIDIA Jetson Thor<\/strong> robotics computing platform for embodied intelligence (including the newly announced T2000 and T3000 computing modules<\/strong> ).<\/li>\n<\/ul>\n<\/div>\n\n\n\n

    \ud83c\uddef\ud83c\uddf5 A luxurious alliance of top Japanese corporations<\/strong><\/p>\n\n\n\n

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    With the release of Cosmos 3 Edge, Nvidia announced the full integration of its Cosmos ecosystem into Japan’s core industrial base . Numerous industry giants responded collectively on the first day, announcing the adoption of the model across their entire product lines.<\/p>\n\n\n\n

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    • Industrial Collaborative Control Platform<\/strong> : Led by Fujitsu<\/strong> , in collaboration with the three giants of industrial robots\u2014 FANUC<\/strong> , Yaskawa Electric<\/strong> , and Kawasaki Heavy Industries\u2014<\/strong> to jointly explore and develop a cross-industry collaborative control platform based on Nvidia’s physical AI technology.<\/li>\n\n\n\n
    • Smart manufacturing and transportation<\/strong> : Honda R&D<\/strong> is integrating it into next-generation smart mobility tools; while Kubota<\/strong> is exploring the development of autonomous agricultural machinery and smart agriculture based on Cosmos.<\/li>\n\n\n\n
    • Business Automation and Elderly Care<\/strong> : Telexistence<\/strong> is leveraging its technology to accelerate automation in unmanned retail; Enactic<\/strong> announced it is using the technology to fine-tune humanoid robots to address Japan\u2019s growing aging population and caregiver labor shortage crisis.<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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      Date : July 16 2026 The model aims to free robots and smart hardware from dependence on the cloud, enabling fully localized real-time environmental perception, visual reasoning, and physical motion prediction directly on edge computing devices. \ud83d\udee0\ufe0f Core Technical Specifications \ud83c\uddef\ud83c\uddf5 A luxurious alliance of top Japanese corporations With the release of Cosmos 3 Edge,…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[23],"tags":[],"class_list":["post-109","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/www.free-le.com\/index.php\/wp-json\/wp\/v2\/posts\/109","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.free-le.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.free-le.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.free-le.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.free-le.com\/index.php\/wp-json\/wp\/v2\/comments?post=109"}],"version-history":[{"count":3,"href":"https:\/\/www.free-le.com\/index.php\/wp-json\/wp\/v2\/posts\/109\/revisions"}],"predecessor-version":[{"id":121,"href":"https:\/\/www.free-le.com\/index.php\/wp-json\/wp\/v2\/posts\/109\/revisions\/121"}],"wp:attachment":[{"href":"https:\/\/www.free-le.com\/index.php\/wp-json\/wp\/v2\/media?parent=109"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.free-le.com\/index.php\/wp-json\/wp\/v2\/categories?post=109"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.free-le.com\/index.php\/wp-json\/wp\/v2\/tags?post=109"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}