Harness breakthroughs in design, rendering, simulation, production, remote collaboration, and visualization to revolutionize product development, transform engineering, and power the factory of the future.
The partnership combines Dassault Systèmes’ Virtual Twin technologies with NVIDIA AI infrastructure, open models, and accelerated software libraries to transform industries.
Samsung is harnessing NVIDIA GPUs, NVIDIA CUDA-X™ libraries and solutions from Synopsys, Cadence and Siemens to achieve massive speedups in simulation, verification and manufacturing analysis.
Transform product development workflows.
From conceptual design to marketing asset creation, NVIDIA technology enables designers and engineers to create stunning 3D designs and immersive, real-time, physically accurate visualizations with photorealistic renderings, accelerate design iterations, and bring amazing products to life exactly as envisioned.
Accelerate computer-aided engineering workflows.
NVIDIA is enabling industry developers to achieve real-time interactive design using AI-accelerated digital twins. These advanced simulation environments let engineers change design settings and immediately see how they affect key performance indicators. Creating real-time digital twins is typically a custom effort that demands expertise across multiple domains.
Boost factory agility, efficiency, and productivity.
The world’s leading manufacturers are using NVIDIA technology to infuse AI into every aspect of production, delivering higher-quality products and improving profit margins. Industrial digital twins—true-to-reality digital representations of factories—use a combination of AI, physics, real-time data from IoT devices, and insights from maintenance and design records. Digital twin simulations can drive precise factory planning, safety improvements, agility, and flexible factory design. In the physical factory, AI can power automation, robotics systems, quality inspection and testing, and predictive maintenance to eliminate waste from production. Finally, generative AI powered by large language models (LLMs) can support information availability and collaboration to improve operational productivity, equipment upkeep, and issue resolution.
Learn from manufacturers using AI and accelerated computing to optimize processes, reduce risk, and trim costs.
Slalom, Inc.
Kawasaki Heavy Industries, Ltd. (Kawasaki) is a manufacturing company that's been building large machinery for more than a hundred years. With NVIDIA cuOpt™ and NVIDIA Jetson™ Orin™, Kawasaki partnered with Slalom, Inc. to transform its track maintenance and inspection capabilities.
Slalom, Inc.
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.
Foxconn
Foxconn
BMW Group
With NVIDIA Omniverse, the automaker is bringing the power of industrial AI to its entire production network as part of its digital transformation.
BMW Group
NVIDIA’s strength in AI and its strong ecosystem of application partners are providing Foxconn Industrial Internet with a path to significant operational efficiency gains. The combination of NVIDIA Metropolis for factories and Isaac Sim for robotics is helping us realize industrial automation goals faster than ever imagined.
— Tai-Yu Chou, CTO, Foxconn Industrial Internet
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.
TSMC, ASML, Cadence, KLA, Siemens and Synopsys are advancing semiconductor manufacturing by adopting the NVIDIA CUDA-X and NVIDIA Blackwell platforms.
Pegatron, Kaohsiung City, the National Hockey League and Siemens are among a wide range of companies embracing visually perceptive AI agents to drive innovation and maximize productivity.
NVIDIA Blackwell adopted by TSMC, Cadence, Siemens, Synopsys and KLA for Chip Design and Manufacturing.
The NVIDIA Omniverse™ Blueprint for AI factory digital twins features expanded capabilities and deeper integrations across the AI factory power, cooling, and networking 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.
NVIDIA Blackwell enables the highest AI factory revenue for manufacturing companies: A $5M investment in GB200 NVL72 generates $75 million in token revenue– a 15x return on investment.
Learn about the AI and high-performance computing (HPC) hardware, software, and networking solutions for manufacturing.
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. Accelerateddata science unlocks deeper insights for intelligent forecasting and decision-making. And technician dispatch andvehicle routing can be dynamically optimized to improve efficiency. These reduced operational burdens improve the ease of future expansions and relocations.
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 withcomputer vision-enabled inspection, productivity inspection, and bottleneck analysis.
Worker safety and waste reduction are important considerations for industrial companies around the world. AI sensors and proactive alerts are being used toenhance functional safety, anddigital 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.
Get started with essential foundations in developing OpenUSD-based digital twin applications and workflows for the era of physical AI.
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.
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'll illustrate how the application can be easily applied to a variety of manufacturing use cases.
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.
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.
NVIDIA Inception provides startups with access to the latest developer resources, preferred pricing on NVIDIA software and hardware, and exposure to the venture capital community. The program is free and available for tech startups of all stages.
Partners
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.
Our experts can help your business unlock potential and unleash innovation.