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Title

Foxconn Develops Physical AI-Enabled Smart Factories With Digital Twins

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…re the instructions how to enable JavaScript in your web browser. Manufacturing Foxconn Develops Physical AI-Enabled Smart Factories With Digital Twins Watch Session Foxconn Objective Foxconn (Hon Hai Technology Group), the world’s…

Description

Foxconn (Hon Hai Technology Group) uses physically accurate digital twins integrating NVIDIA Omniverse libraries and OpenUSD to design, deploy, and manage high-volume production facilities, including those producing NVIDIA GB200 Grace Blackwell Superchip systems. Its Fii Omniverse Digital Twin (FODT) platform creates virtual replicas of factories, enabling simulation-driven design, real-time monitoring, and optimized operations. Using NVIDIA PhysicsNeMo AI models, Foxconn achieves 150x faster computational fluid dynamics simulations for thermal analysis (minutes vs. hours). Standardized OpenUSD-based digital twin assets enable rapid migration of entire production lines between global factories (e.g., Taiwan to Mexico). Robot workcells and AGV logistics are simulated in FODT before physical deployment: complex robotic tasks such as screw tightening and cable insertion are simulated and refined with NVIDIA Isaac Sim, Isaac Lab, FoundationPose models, and NVIDIA cuMotion, while AGV path is optimized by connecting simulations with Material Control Systems and NVIDIA cuOpt. Foxconn also built video analytics AI agents with NVIDIA Metropolis and the NVIDIA AI Blueprint for video search and summarization to monitor factory floors, and developed FoxBrain, an AI platform powered by NVIDIA NeMo trained in four weeks, described as Taiwan's first large language model with advanced reasoning capabilities. Leo Guo, General Manager of Fii Robotic Group, said the company believes it can cut factory setup and planning time by about 50%.

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…world’s most advanced products are built for the industrial digital revolution. The company uses physically accurate digital twins integrating NVIDIA Omniverse™ libraries and Universal Scene Description (OpenUSD) to design, deploy, and manage complex, high-volume production facilities—including those producing NVIDIA GB200 Grace™ Blackwell Superchip systems . Foxconn’s Fii Omniverse Digital Twin (FODT) platform utilizes NVIDIA Omniverse…
…hysicsNeMo With Omniverse, Foxconn drives industrial transformation, including: 150x faster computational fluid dynamics (CFD) simulations for thermal analysis using NVIDIA PhysicsNeMo AI models (minutes vs. hours). Rapid migration of entire production lines between global factories, enabled by…
…layouts and operations before capital investment in physical hardware is made. Complex robotic tasks like screw tightening and cable insertion are simulated and refined with Isaac Sim , Isaac Lab , FoundationPose models, and NVIDIA cuMotion™ for collision-free motion planning. Foxconn is also exploring integrating humanoid robots into its operations, usin…

Company

Foxconn (Hon Hai Technology Group)

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…l AI-Enabled Smart Factories With Digital Twins Watch Session Foxconn Objective Foxconn (Hon Hai Technology Group), the world’s largest electronics manufacturer, is redefining how the world’s most advanced products are built for the industrial digital revolution. The company uses physically accurate digital twins integrating NVIDIA Omniverse…

Industry

Manufacturing

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…b site. Here are the instructions how to enable JavaScript in your web browser. Manufacturing Foxconn Develops Physical AI-Enabled Smart Factories With Digital Twins Watch Session Foxconn Objective Foxconn (Hon Hai Technology Group), the world’s…

Problem

Setting up, optimizing, and managing large-scale production lines across multiple global sites requires significant time and resources. Traditional methods for factory design, layout evaluation, robot programming, logistics planning, and environmental analysis can be slow, siloed, and computationally expensive, limiting a manufacturer's ability to perform real-time analysis, dynamically optimize operations, or replicate best practices across facilities.

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…ctory Planning Modern electronics manufacturing faces unprecedented complexity. Setting up, optimizing, and managing large-scale production lines across multiple global sites requires significant time and resources. Traditional methods for factory design, layout evaluation, robot programming, logistics planning, and environmental analysis can be slow, siloed, and computationally expensive. They limit a manufacturer’s ability to perform real-time analysis, dynamically optimize operations, or replicate best practices across facilities. Foxconn needed a unified platform to bridge the physical and virtual worlds, al…

Business value

Foxconn achieves 150x faster computational fluid dynamics simulations for thermal analysis (minutes vs. hours) using NVIDIA PhysicsNeMo. Standardized OpenUSD-based digital twin assets enable rapid migration of entire production lines between global factories (e.g., Taiwan to Mexico). Leo Guo, General Manager of Fii Robotic Group, said the company believes it can cut factory setup and planning time by about 50%.

derived · high
…hysicsNeMo With Omniverse, Foxconn drives industrial transformation, including: 150x faster computational fluid dynamics (CFD) simulations for thermal analysis using NVIDIA PhysicsNeMo AI models (minutes vs. hours). Rapid migration of entire production lines between global factories, enabled by…
…hop floor control (SFC), and automation systems. Accelerated Factory Deployment Entire production lines are virtually assembled using FODT and standardized USD assets, allowing Foxconn to rapidly migrate and duplicate layouts between global sites (e.g., Taiwan to Mexico). New factory bring-up and scaling are speeding up significantly as a result. Sim…
…llaboration, and data-driven decision-making throughout the factory lifecycle. “If you think about time to revenue, factory setup, and factory planning, we believe that we can cut that down by about 50%. We can model everything in a virtual environment to make sure everything fits a…

Solution

Foxconn's Fii Omniverse Digital Twin (FODT) platform uses NVIDIA Omniverse libraries and OpenUSD to create physically accurate virtual replicas of its factories, including those producing NVIDIA GB200 Grace Blackwell Superchip systems, enabling simulation-driven design, real-time monitoring, and optimized operations. NVIDIA PhysicsNeMo AI models accelerate computational fluid dynamics simulations for thermal analysis. Robot workcells and AGV logistics are simulated in the FODT platform before physical hardware investment: complex robotic tasks such as screw tightening and cable insertion are simulated and refined with NVIDIA Isaac Sim, Isaac Lab, FoundationPose models, and NVIDIA cuMotion for collision-free motion planning, while AGV path is optimized by connecting simulations with Material Control Systems and NVIDIA cuOpt. NVIDIA Metropolis powers video analytics AI agents, built with the NVIDIA AI Blueprint for video search and summarization, to monitor the factory floor. Foxconn also developed FoxBrain, an AI platform powered by NVIDIA NeMo and trained in four weeks, described as Taiwan's first large language model with advanced reasoning capabilities.

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…ies—including those producing NVIDIA GB200 Grace™ Blackwell Superchip systems . Foxconn’s Fii Omniverse Digital Twin (FODT) platform utilizes NVIDIA Omniverse libraries to create comprehensive virtual replicas of its factories. This enables simulation-driven design, real-time monitoring, and optimized operations across the company’s worldwide footprint. Customer Foxconn Use Case Simulation / Modeling / Design Products NVIDIA Isaac…
…layouts and operations before capital investment in physical hardware is made. Complex robotic tasks like screw tightening and cable insertion are simulated and refined with Isaac Sim , Isaac Lab , FoundationPose models, and NVIDIA cuMotion™ for collision-free motion planning. Foxconn is also exploring integrating humanoid robots into its operations, usin…
…n-driven design and evaluation in NVIDIA Isaac Sim™ before physical deployment. Optimized Dynamic AGV path by connecting simulations with Material Control Systems and NVIDIA cuOpt ™ . Improved operational visibility through digital twin monitoring of real-time pr…
…ions, using NVIDIA Isaac GR00T for development. Actionable Operational Insights Powered by NVIDIA Metropolis , Foxconn also built video analytics AI agents with the NVIDIA AI Blueprint for video search and summarization to monitor the factory floor. The AI agent analyzes video footage to provide insights for various scenarios—f…
…performance and resolving issues instantly. AI Models for Intelligent Factories Foxconn is advancing its vision of intelligent factories by developing FoxBrain, an AI platform powered by NVIDIA NeMo™ . Trained in just four weeks, FoxBrain is optimized for traditional Chinese, making it Taiwan's first large language model with advanced reasoning capabilities. Initially designed for use in their own factories, FoxBrain enhances data analy…

Technology

NVIDIA Omniverse, OpenUSD, NVIDIA PhysicsNeMo, NVIDIA Isaac Sim, NVIDIA Isaac Lab, NVIDIA cuOpt, NVIDIA Metropolis, NVIDIA NeMo

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…s worldwide footprint. Customer Foxconn Use Case Simulation / Modeling / Design Products NVIDIA Isaac NVIDIA NeMo NVIDIA Omniverse NVIDIA Metropolis NVIDIA PhysicsNeMo With Omniverse, Foxconn drives industrial transformation, including: 150x faste…
…layouts and operations before capital investment in physical hardware is made. Complex robotic tasks like screw tightening and cable insertion are simulated and refined with Isaac Sim , Isaac Lab , FoundationPose models, and NVIDIA cuMotion™ for collision-free motion planning. Foxconn is also exploring integrating humanoid robots into its operations, usin…
…n-driven design and evaluation in NVIDIA Isaac Sim™ before physical deployment. Optimized Dynamic AGV path by connecting simulations with Material Control Systems and NVIDIA cuOpt ™ . Improved operational visibility through digital twin monitoring of real-time pr…

AI capabilities

Large Language Models, Digital Twins & Simulation, Computer Vision, Robotics & Physical AI

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…performance and resolving issues instantly. AI Models for Intelligent Factories Foxconn is advancing its vision of intelligent factories by developing FoxBrain, an AI platform powered by NVIDIA NeMo™ . Trained in just four weeks, FoxBrain is optimized for traditional Chinese, making it Taiwan's first large language model with advanced reasoning capabilities. Initially designed for use in their own factories, FoxBrain enhances data analy…
…ions, using NVIDIA Isaac GR00T for development. Actionable Operational Insights Powered by NVIDIA Metropolis , Foxconn also built video analytics AI agents with the NVIDIA AI Blueprint for video search and summarization to monitor the factory floor. The AI agent analyzes video footage to provide insights for various scenarios—f…
…layouts and operations before capital investment in physical hardware is made. Complex robotic tasks like screw tightening and cable insertion are simulated and refined with Isaac Sim , Isaac Lab , FoundationPose models, and NVIDIA cuMotion™ for collision-free motion planning. Foxconn is also exploring integrating humanoid robots into its operations, usin…
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