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    BioNeMo

    AI-driven platform for life sciences research and discovery

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    Build and run agentic AI workflows and microservices

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    2. Industrial Sector
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    AI for the Industrial Sector

    Enabling new levels of automation, efficiency, and precision.

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    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.

    NVIDIA and Global Industrial Software Giants Bring Design, Engineering, and Manufacturing Into the AI Era

    Cadence, Dassault Systèmes, PTC, Siemens, and Synopsys are bringing NVIDIA CUDA-X™, Omniverse™, and GPU-accelerated industrial software and tools to their customers.

    Read the Press Release

    NVIDIA Releases Vera Rubin DSX AI Factory Reference Design and Omniverse Digital Twin Blueprint

    The new NVIDIA Vera Rubin DSX AI Factory reference design provides a guide for building codesigned AI infrastructure that delivers maximum token per watt and accelerated time to first production.

    Read the Press Release

    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.

    Learn More About AI in Manufacturing
    Manufacturing
    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.

    Semiconductor
    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.

    Aerospace

    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.

    Agriculture
    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.

    Learn More About AI in the Automotive Industry
    Automotive
    Image courtesy of BMW Group, Koenigsegg, and Rimac Automobili.

    Chemicals, Materials, and Industrial Biotech

    Accelerating discovery.

    AI and accelerated computing have transformed innovations in chemicals, materials, and industrial biotech. These technologies enabled the discovery of novel molecules, formulation optimization, identification of new biotech traits, and more applications. By accelerating such innovations, NVIDIA enables partners and customers to explore a much larger solution space, save computing costs, and automate innovation workflows.

    Learn More About AI for Chemical, Materials, and Industrial Biotech
    Simulation of a car and molecules

    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™, developers can generate even larger datasets with 3D-to-real workflows.

    Explore the Synthetic Data Generation Use Case
    Synthetic Data Generation

    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
    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
    Industrial Facility Digital Twins

    Delta Electronics

    Explore and 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.

    Test Multi-Robot Fleets for Industrial Automation

    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
    Build a Digital Twin for Interactive Fluid Simulation

    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
    AI Factory Digital Twins

    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
    Spatial Streaming for Omniverse Digital Twins

    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
    3D Remote Monitoring

    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
    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.

    See All
    Transforming Production With Digital Twins and Physical AI
    Featured

    Manufacturing

    Transforming Production With Digital Twins and Physical AI

    Customer: Schaeffler

    Products: NVIDIA Omniverse, OpenUSD

    Accelerating Industrial Automation and Autonomy With Factory-Scale Simulation
    Featured

    Manufacturing

    Accelerating Industrial Automation and Autonomy With Factory-Scale Simulation

    Customer: Rockwell Automation

    Products: NVIDIA Omniverse, OpenUSD

    Transforming Manufacturing Operations With AI-Powered Digital Twins

    Manufacturing

    Transforming Manufacturing Operations With AI-Powered Digital Twins

    Customer: Sight Machine

    Products: NVIDIA Omniverse, OpenUSD

    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

    1. quote 1
    2. quote 2
    3. quote 3

    News and Events

    Into the Omniverse: Manufacturing’s Simulation-First Era Has Arrived
    April 28, 2026
    Into the Omniverse: Manufacturing’s Simulation-First Era Has Arrived
    Manufacturing’s traditional design-build-test cycle rested on a single assumption: Real-world testing was the only reliable test environment. 
    NVIDIA and Partners Showcase the Future of AI-Driven Manufacturing at Hannover Messe 2026
    April 20, 2026
    NVIDIA and Partners Showcase the Future of AI-Driven Manufacturing at Hannover Messe 2026
    Manufacturing is at an inflection point. Across every major industrial economy, the pressure to do more with less — due to faster design cycles, leaner operations and strain on skilled labor pools — is accelerating the shift to AI-driven production.  The question is no longer whether to adopt AI, but how fast and at what […]
    Into the Omniverse: NVIDIA GTC Showcases Virtual Worlds Powering the Physical AI Era
    March 26, 2026
    Into the Omniverse: NVIDIA GTC Showcases Virtual Worlds Powering the Physical AI Era
    Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. NVIDIA GTC last week showcased a turning point in physical AI: Robots, vehicles and factories are scaling from single use cases and […]

    Resources

    Take a Deeper Dive Into AI for the Industrial Sector

    1. Videos
    2. Press Releases
    3. Training
    4. Community
    Siemens NVIDIA Industrial AI

    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

    Videos

    See All
    Digital Twins for Physical AI Learning Path

    Digital Twins for Physical AI Learning Path

    Get started with essential foundations in developing OpenUSD-based digital twin applications and workflows for the era of physical AI.

    Explore Curriculum
    Computer Vision for Industrial Inspection

    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
    NVIDIA Training

    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
    NVIDIA Developer Program

    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
    NVIDIA Inception Program for Startups

    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.

    Learn More and Apply
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    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.

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