NVIDIA Factory Operations Blueprint Gives Factories a New AI Brain

Overview

At GTC Taipei at COMPUTEX, NVIDIA announced the NVIDIA Factory Operations Blueprint, known as FOX, a reference design for building an autonomous factory manager agent. The agent continuously monitors and reasons across real-time data and orchestrates a fleet of specialty agents and machines to resolve issues at scale. Taiwan manufacturers Advantech, Foxconn, Pegatron, and Wistron are the first to deploy autonomous factory manager agents using the blueprint.

Key Takeaways

FOX is a reference design for an autonomous factory manager agent that monitors and reasons across real-time factory data.
It orchestrates specialized agents for quality control, material transport, and worker safety.
It is built with NVIDIA NemoClaw, AI-Q Blueprint, and NVIDIA Nemotron open models.
It is optimized to run on NVIDIA DGX Station powered by the GB300 Grace Blackwell Ultra Desktop Superchip.
Advantech, Foxconn, Pegatron, and Wistron are the first to deploy factory manager agents with FOX.

Stats & Key Facts

#DGX Station delivers 20 petaflops of FP4 performance
#748GB of coherent memory
#Capable of running AI models up to 1 trillion parameters
#Foxconn projects 80% improvement in root cause analysis time
#Foxconn projects 15% increase in labor productivity
#Foxconn projects 10% decrease in machine failure rates

NVIDIA Factory Operations Blueprint Gives Factories a New AI Brain

What FOX is

FOX gives factories a central reasoning agent over plant operations.

›It is a reference design for an autonomous factory manager agent.
›The agent continuously monitors and reasons across real-time data.
›It orchestrates a fleet of specialty agents and machines to resolve issues at scale.

FOX helps developers build secure, centralized factory manager agents for orchestrating specialized industrial AI agents for quality control, material transport, and worker safety. It is built with NVIDIA NemoClaw, AI-Q Blueprint, and NVIDIA Nemotron open models.

Key capabilities

The blueprint covers connection, training, and workflow operation.

›Connecting factory systems and agents through standard APIs and agent skills, integrating data sources, machines, applications, and robot fleets.
›Automating AI model training using NVIDIA TAO skills to identify accuracy gaps, source or synthetically generate data, fine-tune models, and redeploy them.
›Operating intelligent factory workflows for visual inspection, process compliance, and material transport.

Real-time factory data can also be visualized in an operational twin built with NVIDIA Omniverse libraries, and workflows can use the NVIDIA Metropolis Blueprint for video search and summarization.

The hardware behind it

FOX is optimized for NVIDIA's deskside AI supercomputer.

›It is optimized to run on NVIDIA DGX Station, described as a deskside AI supercomputer companion for factory managers.
›DGX Station is powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip.
›The chip features 20 petaflops of FP4 performance and 748GB of coherent memory.

The superchip pairs the Blackwell Ultra GPU with a Grace CPU over the NVLink-C2C interconnect, and can run AI models up to 1 trillion parameters, enabling local development and operation of AI agents.

Early adopters in Taiwan

Several Taiwan manufacturers are first to deploy the blueprint.

›Advantech, Foxconn, Pegatron, and Wistron are the first to deploy autonomous factory manager agents using FOX and NemoClaw.
›Foxconn is the world's largest electronics manufacturer.
›Pegatron is building a factory manager agent that orchestrates agents for material transport, AI inspection, standard operating procedure guidance, and machine-to-machine coordination.

Foxconn's MoMClaw results

Foxconn built a multi-agent system on FOX and projects measurable gains.

›MoMClaw is a manufacturing operations multi-agent system running alongside live production.
›It connects sensors, machine signals, and digital systems with hundreds of specialized agents in a single agentic layer.
›It gives managers and operators real-time answers and action plans through a natural language interface.

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, using NVIDIA OpenShell privacy controls and safety guardrails.

Frequently Asked Questions

What is the NVIDIA FOX blueprint?

FOX is the NVIDIA Factory Operations Blueprint, a reference design for building an autonomous factory manager agent that monitors and reasons across real-time factory data and orchestrates other agents and machines.

Where was FOX announced?

NVIDIA announced FOX at GTC Taipei at COMPUTEX.

What hardware runs FOX?

FOX is optimized to run on NVIDIA DGX Station, powered by the GB300 Grace Blackwell Ultra Desktop Superchip with 20 petaflops of FP4 performance, 748GB of coherent memory, and support for models up to 1 trillion parameters.

Which companies are first to use FOX?

Taiwan manufacturers Advantech, Foxconn, Pegatron, and Wistron are the first to deploy autonomous factory manager agents using FOX and NemoClaw.

What gains does Foxconn project from 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.

NVIDIA is positioning FOX as a central AI brain that ties factory systems, agents, and machines into one decision layer.