#  AI for the Industrial Sector
Enabling new levels of automation, efficiency, and precision.

##  Powering Industrial Digitalization
Leading industrial companies around the world are implementing NVIDIA technologies for large-scale AI initiatives. NVIDIA-accelerated computing makes it possible to deploy AI at industrial scale, letting you take advantage of vast amounts of sensor and operational data to optimize operations, improve time to insight, maximize yield, and reduce costs.
####  Accelerated Computing Is Powering the Next Industrial Revolution
Explore what the Financial Times has to say about the new era of industrial digitalization, where manufacturers are turning to accelerated computing, GPUs, and specialized hardware and software to power dramatic performance and sustainability improvements.
[Read Article  ](https://www.ft.com/partnercontent/nvidia/how-accelerated-computing-is-powering-the-next-industrial-revolution.html)
####  Start Developing Industrial Facility Digital Twins Solutions
The era of physical AI is revolutionizing heavy industries, bringing increased intelligence, automation, and autonomy to global industrial facilities.
[Explore Use Case  ](https://www.nvidia.com/en-us/use-cases/ai-for-virtual-factory-solutions/)
##  Sectors
##  Discover How the Industrial Sector Is Using AI
####  Manufacturing
Reinventing manufacturing—from design to delivery.
Designers, engineers, and analysts need to process massive models so they can innovate, iterate, and solve problems—all at the speed of light. Meanwhile, manufacturers need insights from vast amounts of sensor and operational data to optimize operations, improve time to insight, and reduce costs. NVIDIA-accelerated technology makes it all possible, at scale, from anywhere.

Image courtesy of BMW Group.
####  Semiconductor
Enabling advances at sub-nanometer scale.
With the move to smaller technology nodes, the demand for compute cycles in electronic design automation \(EDA\) and semiconductor manufacturing is rapidly and exponentially increasing. Advanced chip manufacturing requires over 1,000 steps, producing features the size of a biomolecule. Each step must be nearly perfect to yield functional output. To meet this need, accelerated computing and AI have become critical to the semiconductor industry, addressing compute-intensive workloads like logic simulation and verification, physical design, computational lithography, and other mask shop and wafer fab workloads, including inspection and metrology.
Image courtesy of TSMC.
####  Aerospace
Powering next-gen performance, manufacturability, and efficiency.
The commercial success of today’s aerospace industry is driven by product innovation, quality, reliability, and operational efficiency. Accelerated computing is speeding up design cycle times with robust tools for engineering design and simulation, while lowering the total cost of owning and operating high-performance computing \(HPC\) infrastructure.
####  Agriculture
Revolutionizing agriculture with AI.
By using NVIDIA technologies, farmers can analyze data from diverse sources—such as soil moisture sensors, weather forecasts, and satellite imagery—to make better decisions about crop management, irrigation, and pest control. NVIDIA's AI-powered solutions can also help farmers automate repetitive tasks, including monitoring crops, detecting plant diseases, and analyzing soil conditions. By improving efficiency and productivity, these resources ultimately help farmers increase crop yields and reduce waste, contributing to a more sustainable and profitable agriculture industry.
Image courtesy of Monarch Tractor.
####  Automotive
Driving end-to-end innovation.
NVIDIA’s automotive solutions offer the performance and scalability needed to design, visualize, and simulate the future of driving. Designers and engineers can create virtual showrooms and car configurators, develop in-vehicle AI assistants, and validate autonomous driving technology—all with NVIDIA AI, Omniverse™, and accelerated computing platforms.
Image courtesy of BMW Group, Koenigsegg, and Rimac Automobili.
###  Use Cases
##  How Developers Are Using NVIDIA AI
 1. Synthetic Data Generation
 2. Reinforcement Learning
 3. Industrial Facility Digital Twins
##  Synthetic Data Generation
Developers can save a significant amount of training time and greatly reduce costs by using synthetic data in conjunction with real-world data to create carefully labeled datasets for training multimodal physical AI models. And now, with [NVIDIA Cosmos](https://www.nvidia.com/en-us/ai/cosmos/)™, developers can generate even larger datasets with 3D-to-real workflows.
[ Explore the Synthetic Data Generation Use Case ](https://www.nvidia.com/en-us/use-cases/synthetic-data/)
##  Reinforcement Learning
With reinforcement learning in simulation, robots can train in any virtual environment through trial and error. This allows robots to develop sophisticated gross and fine motor skills needed for real-world automation tasks, such as grasping novel objects, quadrupedal walking, and learning complex manipulation skills.
[ Explore the Reinforcement Learning Use Case ](https://www.nvidia.com/en-us/use-cases/reinforcement-learning/)
Agility, Apptronik, Fourier Intelligence, Unitree
##  Industrial Facility Digital Twins
Leverage Omniverse SDKs and APIs to develop advanced industrial facility digital twins solutions and bring data interoperability, physically based visualization, generative AI, and real-time collaboration to your software.
[ Explore the Industrial Facility Digital Twins Use Case  ](https://www.nvidia.com/en-us/use-cases/ai-for-virtual-factory-solutions/)
Delta Electronics
Explore & Build
##  Accelerate Your Workflows With NVIDIA Technology
Explore pre-built Omniverse Blueprints and workflows to quickly develop or enhance your OpenUSD-based
applications and services.
Accenture, KION Group
###  Test Multi-Robot Fleets for Industrial Automation
Simulate and test physical AI and robotic fleets at scale in industrial digital twins before real-world deployment.
[Try Now  ](https://build.nvidia.com/nvidia/mega-multi-robot-fleets-for-industrial-automation)
Luminary Cloud
###  Build a Digital Twin for Interactive Fluid Simulation
Integrate real-time visualization and analysis into your 3D workflow to enable real-time computer-aided engineering of your product.
[Try Now  ](https://build.nvidia.com/nvidia/digital-twins-for-fluid-simulation)
###  Build Digital Twins for AI Factory Design and Operations
Design, test, and optimize a new generation of intelligence manufacturing data centers using digital twins.
[Try Now  ](https://build.nvidia.com/nvidia/digital-twins-for-ai-factories)
Foxconn
###  Spatial Streaming for Omniverse Digital Twins
Stream immersive OpenUSD-based Omniverse digital twins to the Apple Vision Pro with this reference workflow.
[Explore Workflow  ](https://developer.nvidia.com/blog/experience-digital-twins-in-xr-with-nvidia-omniverse-spatial-streaming/)
Microsoft Azure
###  Build Digital Twins for Remote Monitoring
Enable remote monitoring of industrial operations with accurate digital twins integrated with real-time IoT data.
[Explore Workflow  ](https://developer.nvidia.com/blog/connect-real-time-iot-data-to-digital-twins-for-3d-remote-monitoring/)
Previous Next
 1. Test Multi-Robot Fleets for Industrial Automation
 2. Build a Digital Twin for Interactive Fluid Simulation
 3. Build Digital Twins for AI Factory Design and Operations
 4. Spatial Streaming for Omniverse Digital Twins
 5. Build Digital Twins for Remote Monitoring
###  Success Stories
##  See the Real-World Impact
Learn from ‌industrial leaders using AI to optimize processes, reduce risk, and trim costs.
###  Foxconn Develops Physical AI-Enabled Smart Factories With Digital Twins
Foxconn is revolutionizing electronics manufacturing for the industrial digital revolution by using NVIDIA Omniverse-powered digital twins to design, deploy, and manage their global production facilities, including those for NVIDIA GB200 Grace Blackwell Superchip systems.
Image courtesy of BMW Group.
##  High-Speed AI: Hitachi Rail Advances Real-Time Railway Analysis Using NVIDIA Technology
The global transportation company is adopting NVIDIA IGX™, the enterprise-ready platform for industrial edge computing, to improve railway operations, lower maintenance costs, and reduce energy use.
[ Read Blog ](https://blogs.nvidia.com/blog/hitachi-rail-igx-real-time-analysis/)
Image courtesy of BMW Group.
##  How Virtual Factories Are Making Industrial Digitalization a Reality
Manufacturers like Autodesk, Continental, Pegatron, Rockwell Automation, Siemens and Wistron are embracing digitalization and virtual factories to unlock new possibilities from planning to operations.
Image courtesy of Delta Electronics
##  Delta Electronics Is Redefining Production Lines and Industrial Inspection With Digital Twins and Synthetic Data
Delta Electronics optimizes every part of the factory process before‌ actual production starts using NVIDIA Omniverse and the NVIDIA Isaac Sim™ simulation application.
Image courtesy of Delta Electronics
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> The next era of industrial digitalization has arrived. With NVIDIA Omniverse APIs on Microsoft Azure, organizations across industries and around the world can connect, collaborate and enhance their existing tools to create the next wave of AI-enabled digital twins.
— Andy Pratt, Corporate Vice President, Microsoft Emerging Technologies

> Computational lithography, specifically optical proximity correction, or OPC, is pushing the boundaries of compute workloads for the most advanced chips. By collaborating with our partner NVIDIA to run Synopsys OPC software on the cuLitho platform, we massively accelerated performance from weeks to days\! The team up of our two leading companies continues to force amazing advances in the industry.
— Aart de Geus, Chairman and CEO, Synopsys

> With Omniverse APIs, Teamcenter X lets companies like HD Hyundai unify and visualize massive engineering data sets interactively and integrate generative AI to generate 3D objects or HDRI backgrounds to see their projects in context. The result is an ultra-intuitive, photoreal, physics-based digital twin that eliminates waste and errors, delivering huge savings in cost and time.
— Dr. Roland Busch, CEO, Siemens AG

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##  News and Events
###  NVIDIA Builds World’s First Industrial AI Cloud to Advance European Manufacturing
Announcing a $500 million investment to build the world’s first industrial AI cloud for European manufacturers, powered by NVIDIA RTX PRO Servers and NVIDIA DGX B200 systems.
###  Siemens and NVIDIA Expand Partnership to Accelerate AI Capabilities in Manufacturing
Siemens and NVIDIA announced an expansion of our partnership to accelerate the next era of industrial AI and digitalization and enable the factory of the future.
###  NVIDIA Omniverse Digital Twins Help Taiwan Manufacturers Drive Golden Age of Industrial AI
Blueprints for building autonomous manufacturing facilities offer transformative advances for development of trillion-dollar industries.
###  Semiconductor Industry Accelerates Design Manufacturing with NVIDIA Blackwell and CUDA-X
NVIDIA Blackwell adopted by TSMC, Cadence, Siemens, Synopsys and KLA for Chip Design and Manufacturing.
###  NVIDIA Expands Omniverse Blueprint for AI Factory Digital Twins With New Ecosystem Integrations, Development Tools
The NVIDIA Omniverse™ Blueprint for AI factory digital twins features expanded capabilities and deeper integrations across the AI factory power, cooling, and networking ecosystem.
###  NVIDIA Blackwell Accelerates Computer-Aided Engineering Software Ecosystem
Leading CAE software vendors, including Ansys, Altair, Cadence, Siemens, and Synopsys, are accelerating their simulation tools to run 50x faster with the NVIDIA Blackwell platform.
Previous Next
 1. NVIDIA Builds World’s First Industrial AI Cloud to Advance European Manufacturing
 2. Siemens and NVIDIA Partner
 3. NVIDIA Omniverse Digital
 4. TSMC
 5. NVIDIA Expands Omniverse
 6. NVIDIA Blackwell Accelerates Computer
##  Resources
##  Take a Deeper Dive Into AI for the Industrial Sector
 1. Videos
 2. Blogs
 3. Training
 4. Community
Image courtesy of Siemens
**Featured**
###  What’s Next in Industrial AI?
Industrial AI is driving the next era of design and manufacturing processes. Hear industry leaders from Siemens, Mercedes-Benz, and Pegatron share how agentic AI and digital twins are transforming the way we design, build, and operate industrial facilities and products.
[ Watch Now ](https://www.youtube.com/watch?v=RLZk-Fr7wz4)
Videos
[ See All](https://resources.nvidia.com/l/en-us-industrial-sector-resources)
Webinars
[ ](https://courses.nvidia.com/courses/course-v1:DLI+S-AV-06+V1/)
###  Applications of AI for Predictive Maintenance
Learn how to identify anomalies and failures in time-series data by using AI to estimate the condition of equipment and predict when maintenance should be performed.
[AI for Predictive Maintenance Workshop  ](https://www.nvidia.com/en-us/training/instructor-led-workshops/predictive-maintenance/)
[ ](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-MF-01+V2)
###  Computer Vision for Industrial Inspection
Learn how to create an end-to-end hardware-accelerated industrial inspection pipeline to automate defect detection. Using NVIDIA’s own production dataset as an example, we will illustrate how the application can be easily applied to a variety of manufacturing use cases.
[Industrial Inspection Workshop  ](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-MF-01+V2)
[ ](https://www.nvidia.com/en-us/learn/organizations/)
###  NVIDIA Training
Our expert-led courses and workshops provide learners with the knowledge and hands-on experience they need to unlock the full potential of NVIDIA solutions. NVIDIA Training offers customized training plans designed to bridge technical skill gaps and provide relevant, timely, and cost-effective solutions for an organization's growth and development.
[Visit NVIDIA Training  ](https://www.nvidia.com/en-us/learn/organizations/)
###  NVIDIA Developer Program
Connect with millions of like-minded developers and access hundreds of NVIDIA-accelerated containers, models, and SDKs—all the tools necessary to successfully build apps with NVIDIA technology—through the NVIDIA Developer Program.
[Join the Developer Program  ](https://developer.nvidia.com/developer-program)
###  NVIDIA Inception Program for Startups
Evolve your startup with go-to-market support, technical expertise, training, and funding opportunities. Inception provides 14,000+ cutting-edge startups worldwide with resources to accelerate their business. See how program members are using NVIDIA technology to create innovative products.
Partners
##  NVIDIA Partners for Industrial Sector
Our solutions for the industrial sector go beyond products. Our partners are here to assist your organization at every level to build and execute transformative AI strategies, products, and services.
[ Explore Our Partners ](https://www.nvidia.com/en-us/industries/industrial-sector/partners/)
##  Get Started
##  Take the Next Steps
###  Stay Up to Date on NVIDIA News for the Industrial Sector
###  Request a Consultation
Our experts can help your business unlock potential and unleash innovation.