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.

    Digitalizing the World's Largest Industries with OpenUSD and Generative AI

    Hear from a panel of distinguished luminaries on their industrial digitalization projects that infuse generative AI, new data platforms, 3D interoperability, and advanced visualization throughout their organizations.

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    5 Steps to Get Started with Digital Twins

    Explore the five steps you need to take to get started with digital twins and get insight into what we’ve learned about successful digital twin initiatives.

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    Use Cases

    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
    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 accelerating 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.

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

    Success Stories

    See the Real-World Impact

    Learn from the industrial leaders using AI to optimize processes, reduce risk, and trim costs.

    Develop advanced, generative AI-enabled virtual factory solutions.

    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.

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    Delta Electronics

    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.

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    Image courtesy of Delta Electronics

    NVIDIA, ASML, TSMC and Synopsys

    Image courtesy of BMW Group.

    BMW Group Starts Global Rollout of NVIDIA Omniverse

    The automaker is bringing the power of industrial AI to its entire production network as part of its digital transformation.

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    Image courtesy of BMW Group.

    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

    News and Events

    NVIDIA GB200 NVL72 AI Factory

    Computer Industry Joins NVIDIA to Build AI Factories and Data Centers for the Next Industrial Revolution

    Top computer manufacturers unveil array of Blackwell-powered systems, featuring Grace CPUs, NVIDIA Networking and Infrastructure.

    Read the Press Release
    NVIDIA Isaac for AI-powered robots

    NVIDIA Robotics Adopted by Industry Leaders for Development of Tens of Millions of AI-Powered Autonomous Machines

    BYD Electronics; Intrinsic, an Alphabet Company; Siemens; Teradyne Robotics and more using NVIDIA Isaac robotics platform for autonomous robot arms, humanoids, mobile robots.

    Read the Press Release
    Foxconn Trains Robots with NVIDIA AI

    Foxconn Trains Robots, Streamlines Assembly With NVIDIA AI

    The world’s largest electronics manufacturer is gearing up to make one of NVIDIA’s most complex products, so it’s turning to a digital twin powered by NVIDIA Omniverse and Isaac platforms. 

    Read the Blog
    Industrial automation with NVIDIA Metropolis

    Taiwan Electronics Giants Drive Industrial Automation With NVIDIA Metropolis and NIM

    Leading Taiwanese electronic companies, including Foxconn, Wistron, and Pegatron are adopting NVIDIA Metropolis to improve the safety of workers and enhance automation in manufacturing.

    Read the Press Release
    NVIDIA IGX with Holoscan

    NVIDIA Announces Enterprise Software Availability on IGX With Holoscan

    Johnson & Johnson MedTech, Medtronic, Rockwell Automation, SETI Institute, and others are building NVIDIA IGX systems to supercharge edge AI across medical, industrial, and scientific computing applications.

    Read the Press Release

    Solutions

    Industrial Technology—From Data Center to Edge to Cloud

    Learn about the AI and accelerated computing hardware, software, and networking solutions for industrial applications.  

    Gain a Competitive Edge With Improved Agility

    HPC and AI enable new levels of collaboration and efficiency in product design, engineering, simulation, and prototyping. Digital twins optimize design and operational flow in factories, warehouses, and distribution centers. Accelerated data science unlocks deeper insights for intelligent forecasting and decision-making. And Technician dispatch and vehicle routing can be dynamically optimized to improve efficiency.

    Increase Agility

    Leverage Automation to Optimize Throughput and Yield

    Automation is creating new levels of speed and accuracy in industrial environments. Robotic systems automate manufacturing, assembly, and material handling. Predictive maintenance and prognostics minimize downtime and maximize the life of equipment. And quality and throughput are increased with computer vision-enabled inspection, productivity inspection, and bottleneck analysis.

    Automate for Efficiency

    Advance Safety and Sustainability

    Worker safety and waste reduction are important considerations for industrial companies around the world. AI sensors and proactive alerts are being used to enhance functional safety, and digital twins are helping to model and improve worker ergonomics. Machine learning optimizes plant energy consumption, increases farming efficiency, decreases negative environmental impact, and helps develop clean energy systems.

    Improve Safety and Sustainability
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    Resources

    Take a Deeper Dive Into AI for the Industrial Sector

    NVIDIA founder and CEO Jensen Huang

    Featured

    NVIDIA Omniverse Cloud APIs on Microsoft Azure

    Microsoft and NVIDIA are helping the global 46 trillion dollar manufacturing industry digitalize their processes.

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    Videos

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    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

    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

    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.

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    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.

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    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.

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    A Snapshot of Our Industrial Partners

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