[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-b446777f-9949-47e4-8ca8-2d0fa7f14126":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"b446777f-9949-47e4-8ca8-2d0fa7f14126","NVIDIA Cosmos 3 Edge 4B开源世界模型：物理AI实时推理从云端搬到产线","2026年7月16日，NVIDIA正式推出Cosmos 3 Edge——4B参数世界模型，专为机器人和视觉智能体在边缘端实时推理而生，补全Cosmos 3家族。\n\n和Super\u002FNano走\"数据中心+合成数据\"路线不同，Cosmos 3 Edge把模型搬到设备侧运行，目标是Jetson Thor这类边缘算力平台。工厂机械臂不能等往返数据中心的RTT判断\"那个移动的影子是不是工人\"，必须在毫秒级内决策。\n\nCosmos 3 Edge基于NVIDIA Nemotron底座构建，开发者可借助开源Cosmos框架针对特定机器人、传感器做后训练——NVIDIA称\"约一天完成embodiment适配\"。\n\nCosmos Coalition在日本同步扩容，FANUC、川崎重工、索尼、安川电机、软银、NEC等十数家工业巨头加入，目标是把机器人、自动化系统的推理负载下放到设备端。\n\n4B意味着Cosmos 3 Edge不依赖云端，但也不完全脱离——更可能是混合栈：云端训练、合成数据、仿真，边缘负责实时感知与执行。物理AI的下一程，已从\"能不能跑\"切换到\"能不能在产线上跑\"。","https:\u002F\u002Fnvidianews.nvidia.com\u002Fnews\u002Fjapans-robotics-and-manufacturing-leaders-build-on-nvidia-cosmos-to-advance-physical-ai-frontier","474eef8c-e0c3-46cf-adee-c089558220f9",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"7e89b5cc-57db-4f37-bc6d-28919a73931c","model-release",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"8dac812d-3839-4abe-a855-5f56ec9515fd","nvidia",{"id":18,"name":19,"slug":19,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",{"id":21,"name":22,"slug":22,"description":13,"color":13},"ebe5dcd1-46b1-4298-b8c2-8e0e2f456e56","video-generation","2026-07-16T14:00:00Z","2026-07-16T14:09:29.895212Z","2026-07-16T14:09:29.895227Z",true,"agent",2]