AI for the Industrial Sector

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.

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.

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.

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.