NVIDIA 发布工厂运营蓝图，为工厂提供自主智能管理智能体
NVIDIA 给工厂装了个AI大脑，蓝图 FOX 把质量、运输、安全一堆智能体统到一个管理器里，富士康说根因分析快了80%。对非制造圈有点远，但这是Agent工业落地的真样例，做企业智能体的值得拆开看看。
NVIDIA 在 GTC Taipei 发布了 NVIDIA 工厂运营蓝图（FOX），这是一个用于构建自主工厂管理智能体的参考设计。该蓝图基于 NVIDIA NemoClaw、AI-Q Blueprint 和 NVIDIA Nemotron 开源模型构建，旨在为工厂提供一个统一的决策层，以连接实时机器信号、质量数据和操作警报，实现快速问题解决。蓝图针对 NVIDIA DGX Station 桌面 AI 超级计算机进行了优化。首批采用者包括富士康、和硕、研华和纬创。富士康利用 FOX 和 NemoClaw 构建了 MoMClaw 多智能体系统，预计将根源分析时间缩短 80%，劳动生产率提高 15%，机器故障率降低 10%。
NVIDIA Factory Operations Blueprint Gives Factories a New AI Brain | NVIDIA Blog
As factories move from isolated automation to plant-wide intelligence, manufacturers need AI systems that can connect live machine signals, quality systems, work instructions and operational alerts into a unified decision layer.
Today at GTC Taipei at COMPUTEX, NVIDIA announced the NVIDIA Factory Operations Blueprint (FOX) — a reference design for building an autonomous factory manager agent that continuously monitors and reasons across the real-time data and orchestrates a fleet of speciality agents and machines to quickly resolve issues at scale.
FOX helps developers build secure, centralized factory manager agents for orchestrating and optimizing specialized industrial AI agents for quality control, material transport and worker safety. Built with NVIDIA NemoClaw, AI-Q Blueprint and NVIDIA Nemotron open models, the blueprint provides a customizable foundation for connecting factory systems, automating model development and running intelligent operations at scale.
The blueprint is optimized to run on NVIDIA DGX Station, the ultimate deskside AI supercomputer companion for factory managers.
DGX Station is powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, featuring 20 petaflops of FP4 performance and 748GB of coherent memory, and is capable of running large AI models up to 1 trillion parameters, making it ideal for developing and running powerful AI agents locally.
The superchip features the NVIDIA Blackwell Ultra GPU connected to a high-performance NVIDIA Grace CPU using the NVIDIA NVLink-C2C interconnect to deliver best-in-class system communication and performance, ideal for lightning-fast interactions between NemoClaw and AI models.
Key capabilities of the FOX blueprint include:
- Connecting factory systems and agents: FOX integrates with industrial data sources, machines, applications and robot fleets, and can connect to specialized agents from leading software developers through standard application programming interfaces and agent skills.
- Automating AI model training: Using NVIDIA TAO skills, factory manager agents can automate the full model-training lifecycle — identifying accuracy gaps, sourcing or synthetically generating training data, fine-tuning models and redeploying them into production.
- Operating intelligent factory workflows: Visual inspection, process compliance and material transport agents can be managed with NVIDIA open models and blueprints, including the NVIDIA Metropolis Blueprint for video search and summarization (VSS). Real-time factory data can also be visualized in an operational twin built with NVIDIA Omniverse libraries.
Taiwan manufacturersAdvantech, Foxconn, Pegatron and Wistron are the first to deploy autonomous factory manager agents using the NVIDIA FOX blueprint and NemoClaw.
Foxconn, the world’s largest electronics manufacturer, is using the FOX blueprint and NemoClaw to build MoMClaw, a manufacturing operations multi-agent system.
Running alongside a live production work, MoMClaw connects sensors, machine signals and other digital systems with hundreds of specialized agents in a single agentic layer — giving plant managers and operators real-time answers and action plans through a natural language interface with NVIDIA OpenShell privacy controls and safety guardrails. With MoMClaw, Foxconn projects an 80% improvement in root cause analysis time, a 15% increase in labor productivity and a 10% decrease in machine failure rates.
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Pegatron is using the FOX blueprint and NemoClaw to build a factory manager agent that orchestrates specialized agents for material transport, AI inspection, standard operating procedure guidance and machine-to-machine coordination. With the factory manager agent, Pegatron can orchestrate robot utilization more efficiently, eliminating the need for expensive standby equipment, with an estimated 15% reduction in asset redundancy costs.
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Advantech has introduced the AI Factory Brain, an intelligent multi-agent system led by a factory manager agent built with the FOX blueprint and NemoClaw. Advantech has deployed the factory manager agent in its own factories to autonomously manage energy across HVAC and lighting specialized agents and projects to cut energy consumption by 10%.
Wistron is adopting the FOX blueprint and using NVIDIA Cosmos, NVIDIA Nemotron open models and the NVIDIA Metropolis VSS blueprint to build surface-mount technology agents that analyze and orchestrate production-line operations, enabling real-time root-cause analysis and quality control.
To monitor manufacturing operations, improve quality, verify standard operating procedures and improve worker safety, companies including DeepHow, Overview AI, Roboflow and Spingence are building specialized agents powered by NVIDIA AI and the NVIDIA VSS blueprint:
- DeepHow is using the Metropolis VSS Blueprint and Cosmos 3 to develop a standard operating procedure agent for Foxconn that supports assembly of Bianca boards for NVIDIA GB300 servers. Running on NVIDIA RTX PRO Servers, the agent accurately understands complex assembly motions to help improve first-pass yield by 3%, minimizing rework and production waste.
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- Spingence is using the NVIDIA D efect I mage G eneration skill, NVIDIA Cosmos open vision language model and NVIDIA TAO Toolkit for fine-tuning to develop a factory manager agent for Cooler Master that connects automated optical inspection and model-building agents, achieving 99.6% defect recall, reducing defect escapes by 78% and increasing inspection capacity by 3x.
- Overview AI is using an NVIDIA agent skill for defect image generation and NVIDIA Cosmos to help Amphenol improve manufacturing efficiency with its Advanced GenAI Toolkit. The toolkit generates synthetic defect data and deploys visual inspection AI models 12x faster, reducing time to first inference to under 30 minutes across more than 300 products.
- Roboflow is using NVIDIA Cosmos to develop a model-building agent for Corning Fiber Optics that generates synthetic defect images when training data is limited, delivering near-perfect detection rates and demonstrates the potential to reduce daily manual image review.
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to be notified when the NVIDIA Factory Operations Blueprint is available.
Metropolis VSS blueprint 3 is now generally available, including skills that allow external agents — such as Claude Code, Codex, Hermes and NemoClaw — to access VSS components and rapidly build and operate video analytics AI agents.
W atch NVIDIA founder and CEO Jensen Huang’skeynoteand learn more atNVIDIA GTC Taipei.
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