Computer-Aided Engineering (CAE) Insights
Learn how top CAE applications running on GPUs are speeding up simulations by 5X or more while lowering costs and energy consumption.

Reinvent Manufacturing—From Design to Delivery
Transform Manufacturing From End to End

Harness breakthroughs in design, rendering, simulation, production, remote collaboration, and visualization to revolutionize product development, transform engineering, and power the factory of the future.

Discover How the Manufacturing Industry Is Using AI and Accelerated Computing

Transform product development workflows.

Product Development

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.
NVIDIA Solutions for Product Development

Accelerate computer-aided engineering workflows.

Engineering Simulation

NVIDIA’s GPU acceleration technology provides a wide array of solutions for analyzing and solving complex problems in structural mechanics (FEA), computational fluid dynamics (CFD), computational electromagnetics (CEM) and discrete element modeling (DEM). With NVIDIA, designers, engineers, and simulation experts can rapidly accelerate their CAE workflows and achieve efficient, effective results.
NVIDIA RTX™ for Engineering Simulation

Boost factory agility, efficiency, and productivity.

The AI-Enabled Factory

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.

  • Reinventing Maintenance Operations With cuOpt and Jetson Orin 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.
  • 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.
  • BMW Group Starts Global Rollout of NVIDIA Omniverse With NVIDIA Omniverse, the automaker is bringing the power of industrial AI to its entire production network as part of its digital transformation.
Solutions for the AI-Enabled Factory


AI and high-performance computing (HPC) hardware, software, and networking solutions for manufacturing.

  • 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. These reduced operational burdens improve the ease of future expansions and relocations.
  • 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.
  • 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.