--- 格式版本: 2 标题: "NVIDIA Announces Jetson Orin Nano 2 Robotics Computer to Redefine Entry-Level Edge AI" 原文链接: "https://nvidianews.nvidia.com/news/nvidia-announces-jetson-orin-nano-2-robotics-computer-to-redefine-entry-level-edge-ai" 发布日期: "2026-08-25" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "rule:scrape:strict_html_body" 发布时间证据: "div class=article-date: August 25, 2026" 发布时间校准原因: "规则确认唯一严格发布时间，来源 scrape:strict_html_body" 发布时间校准置信度: "high" 发布时间候选数量: 7 发布时间严格候选数量: 2 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-08-26T14:12:37+08:00" 发布时间仲裁状态: "skipped" 发布时间仲裁尝试次数: 0 发布时间仲裁耗时毫秒: 0 发现时间: "2026-08-26T14:12:28+08:00" 入库时间: "2026-08-26T06:12:38.067Z" 来源平台: "固定入口" 搜索渠道: "fixed_url" 搜索词: "https://nvidianews.nvidia.com/" 匹配关键词: - "AI" - "delivery" - "performance" - "bandwidth" 相关厂家: - "NVIDIA" 相关专家: [] 内容类型: "网页" 抓取工具: "Free Fetch + Defuddle" 清洗工具: "Defuddle Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 23 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "内容为NVIDIA Jetson Orin Nano 2边缘AI机器人计算机，属于边缘AI/机器人/无人机领域，与超节点/AI Rack/机柜级AI基础设施、高速互连、供电、液冷等核心主题无关，仅命中泛化关键词'AI'。" AI质检模型: "tx-deepseek-v4-flash" AI质检时间: "2026-08-26T14:12:57+08:00" AI主题相关性: 0 AI来源权威性: 15 AI新颖性: 5 AI技术细节: 0 AI商业部署信号: 0 AI完整性: 8 AI摘要: "NVIDIA发布入门级边缘AI机器人计算机Jetson Orin Nano 2，推理性能达前代2倍，同样性能下功耗降低40%，可运行最新大语言模型与视觉语言模型。该产品面向机器人、无人机和视觉AI开发者，预计2027年上半年上市。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T02:09:16.412Z" 采集批次: "2026年8月26日14点12分27秒" 采集批次ID: "20260826-141227-981" 去重键: "https://nvidianews.nvidia.com/news/nvidia-announces-jetson-orin-nano-2-robotics-computer-to-redefine-entry-level-edge-ai" --- **News Summary:** - NVIDIA Jetson Orin Nano 2, a new robotics computer for entry-level edge AI, enables millions of developers worldwide to build robots, delivery and inspection drones, and vision AI systems for frontier physical AI applications. - Jetson Orin Nano 2 delivers 2x the inference performance of its predecessor in the same form factor and consumes 40% less power at the same performance. - More than 3 million developers have built on the NVIDIA robotics stack, with Cognex, Doosan Bobcat and Matic among the first to adopt and explore Jetson Orin Nano 2. - Ecosystem partners are building carrier boards, hardware systems and reference solutions to help customers accelerate time to market. NVIDIA today announced NVIDIA Jetson Orin Nano™ 2, a new robotics computer set to redefine entry-level edge AI — putting frontier-class generative AI performance in the hands of millions of developers. As AI models grow smaller and more efficient, more edge devices can become autonomous systems that understand context, interpret language and images, and act in real time. To bring these capabilities into physical machines like robots, delivery and inspection drones, and vision AI systems, developers need compact, energy-efficient robotics computers built for edge AI. “Today’s small and medium frontier models have reached the accuracy of last year’s largest frontier models, unlocking real-time intelligence for edge devices,” said Deepu Talla, vice president of robotics and edge AI at NVIDIA. “The Jetson Orin Nano 2 computer puts that breakthrough within reach of millions of developers, delivering the performance and energy efficiency needed for real-time reasoning at the edge.” Cognex, Doosan Bobcat and Matic are among the first to adopt and explore Jetson Orin Nano 2. **A Major Leap for Entry-Level Edge AI** Featuring 78 trillion operations per second of AI compute, 8GB of memory and an 8-core Arm CPU, Jetson Orin Nano 2 delivers a significant leap in AI and video-processing performance in a cost-effective, power-efficient system. Jetson Orin Nano 2 achieves 2x the inference performance of Jetson Orin Nano Super through improved Tensor Cores and higher memory bandwidth, while maintaining the same compact form factor. In 15-watt mode, Jetson Orin Nano 2 consumes 40% less power to deliver the same performance as its predecessor. Powered by NVIDIA’s open software stack, [NVIDIA Jetson™ agent skills](https://www.jetson-ai-lab.com/) and a rich AI ecosystem, Jetson Orin Nano 2 enables developers to run the latest large language models and vision language models optimized for memory-efficient edge inference — including open models like [NVIDIA Cosmos](https://www.nvidia.com/en-us/ai/cosmos/) ™ and [NVIDIA Nemotron](https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/) ™, Gemma 4 and Qwen 3 — to rapidly build advanced AI applications. **Partner Ecosystem and Millions of Robotics Developers Build on Jetson** More than 3 million developers are building on NVIDIA’s robotics stack, and with Jetson Orin Nano 2, partners like Cognex, Doosan Bobcat, Matic and Wing are bringing real-world edge AI applications to compact devices, including home robots, vision AI systems, delivery and inspection drones, carrier boards, hardware systems and reference solutions. Wing, a leading drone delivery company and subsidiary of Alphabet, is using Jetson Orin Nano Super and the NVIDIA software stack in its delivery drone fleet — and plans to evaluate Jetson Orin Nano 2 to advance real-time AI perception and reasoning for faster, safer delivery from local businesses to residential yards. “Drone delivery depends on AI that can enable fast, reliable understanding of the real world,” said Dinuka Abeywardena, head of perception at Wing. “Wing is exploring Jetson Orin Nano 2 to give us a path to more responsive, energy-efficient drones that can help make deliveries quicker and more dependable for customers.” Matic Robots, an advanced consumer robotics company, is adopting Jetson Orin Nano 2 to enable more intuitive interactions with its home cleaning robots, enabling them with conversational AI, gesture detection, deeper context of the home with precision mapping and semantic understanding, and autonomous cleaning capabilities. “Home robots need to understand people, map spaces precisely, understand the layout of objects and spaces, and clean autonomously in dynamic and constantly changing environments,” said Navneet Dalal, cofounder and CEO of Matic Robotics. “With Jetson Orin Nano 2, Matic can run state-of-the-art AI models at the edge in a compact home robotics platform built for real-time perception, interaction and navigation.” AAEON, [ADLINK](https://www.adlinktech.com/en/landing/nvidia-based-solution/nvidia-jetson-orin-nano2), [Advantech](https://www.advantech.com/en-us/resources), [Aetina](https://www.aetina.com/about-news-detail.php?i=1348), [Antmicro](https://antmicro.com/blog/2026/08/entry-level-edge-ai-with-nvidia-jetson-nano-2-som), [Aptiv](https://www.aptiv.com/en/newsroom/article/aptiv-accelerating-production-ready-physical-ai-with-support-for-nvidia-jetson-orin-nano-2 "Aptiv"), Auvidea, [AVerMedia](https://professional.avermedia.com/media/news-detail?slug=avermedia-supports-new-nvidia-jetson-orin-nano-2-expanding-the-possibilities-of-compact-edge-ai "AVerMedia"), Chuanglebo, [Connect Tech](https://connecttech.com/announces-support-new-nvidia-jetson-orin-nano-2-robotics-computer/), [ForeCR](https://www.forecr.io/blogs/news-press-releases/forecr-announces-support-for-new-nvidia-jetson-orin-nano-2-robotics-computer-redefining-entry-level-edge-ai-performance), JWIPC, Neurealm, Plink, Realtimes, [RidgeRun](https://www.ridgerun.com/post/ridgerun-helps-accelerate-edge-ai-development-on-nvidia-jetson-orin-nano-2), RS, [Seeed Studio](https://www.seeedstudio.com/blog/2026/08/25/seeed-studio-announces-support-for-nvidia-jetson-orin-nano-2-expanding-scalable-physical-ai-and-robotics-ecosystem/ "Seeed Studio"), Tauro Tech, Twowin, TZTEK and [YUAN](https://www.yuan.com.tw/news/preview-news?id=353&t=d74eb353274d4fd78e460600ae11a561) are among other Jetson partners building carrier boards, hardware systems, customized AI software and reference solutions to help customers accelerate time to market. **Availability** The NVIDIA Jetson Orin Nano 2 module and developer kit are expected to be available in the first half of 2027.