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NVIDIA launches FOX blueprint to build autonomous factory manager agents

NVIDIA released the Factory Operations Blueprint (FOX), a reference architecture for autonomous factory manager agents. These systems use NemoClaw agent skills (reusable AI capability packages) to manage specialized tasks like quality control by reasoning across live machine signals. It establishes a centralized decision layer for plant-wide intelligence.
Hardware
DGX Station (GB300 Grace Blackwell Ultra)
Performance
20 petaflops FP4
Memory
748GB coherent memory
Model Capacity
Up to 1 trillion parameters
Early Adopters
Advantech, Foxconn, Pegatron, and others

This shifts industrial AI from isolated automation to integrated agentic systems. Using VSS agent skills and NVIDIA TAO, factories can identify accuracy gaps and redeploy fine-tuned models autonomously. Early adopters like Foxconn project an 80% reduction in root-cause analysis time and a 15% boost in labor productivity.

Agents run locally on the NVIDIA DGX Station powered by the GB300 Grace Blackwell Ultra chip. The blueprint integrates with industrial data via standard APIs and specialized skills. While Metropolis VSS 3 is generally available, manufacturers can sign up for FOX availability notifications now.

View the full update on blogs.nvidia.com
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Factories are getting a new AI brain 🧠 Introducing NVIDIA Factory Operations Blueprint (FOX), a reference design for building factory manager agents that monitor operations, reason across real-time data, and coordinate specialized AI agents to help resolve issues at scale. Early adopters including @HonHai_Foxconn, Pegatron, @Advantech_USA, and @WistronAiEDGE are already seeing gains in productivity, quality, and efficiency. Read more: https://t.co/t66rl8utwQ #NVIDIAGTC

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Still wondering? A few quick answers below.

The NVIDIA Factory Operations Blueprint (FOX) is a reference design for building autonomous factory manager agents. It provides a centralized decision layer that connects real-time machine signals, quality systems, and operational alerts. This allows manufacturers to orchestrate a fleet of specialized AI agents to monitor and optimize factory-wide operations at scale.

NemoClaw serves as the orchestration framework within the FOX blueprint. It allows the central factory manager agent to coordinate multiple specialized agents, such as those for material transport or worker safety. By using NemoClaw, the system can reason across diverse data sources and delegate specific tasks to the most appropriate AI agents.

The FOX blueprint is optimized to run on the NVIDIA DGX Station, a deskside AI supercomputer. This hardware is powered by the GB300 Grace Blackwell Ultra Desktop Superchip, which features 20 petaflops of performance and 748GB of memory. This local compute power enables the factory manager agent to process up to 1 trillion parameters.

Manufacturers using the FOX blueprint can achieve significant gains in productivity and efficiency. For example, Foxconn projects an 80% improvement in root-cause analysis time and a 15% increase in labor productivity. The system also automates the AI model-training lifecycle, allowing factories to identify accuracy gaps and redeploy fine-tuned models into production autonomously.

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