Accelerate Computational Engineering and Robotics With NVIDIA Warp

Learn how NVIDIA Warp, an open-source CUDA-X library for accelerating computational engineering, simulation, and robotics workflows, is leveraged by developers and lead to 10M downloads. In this livestream, we’ll introduce NVIDIA Warp, why developers are using it, and how it accelerates engineering and robotics applications. We’ll walk through practical use cases, including an industrial engineering example and a robotics workflow, to showcase how Warp can help teams build and test high-performance simulation code faster. We’ll also look at the types of developers using Warp today, from researchers and robotics engineers to simulation teams and computational engineering developers. By the end, viewers will understand where NVIDIA Warp applies, how it can fit into their own workflows, and how to download NVIDIA Warp and start building. You’ll learn: - What is NVIDIA Warp - Why developers use Warp for GPU-accelerated Python workflows - Where and how Warp applies across computational engineering, simulation, and robotics ---------------------------------------------------------------------------- 📆 Check out the full calendar for all of our upcoming events → https://nvda.ws/3JqaWnA ---------------------------------------------------------------------------- ⬇️Get Started → https://nvda.ws/4cZAZO1 👀Explore OpenUSD → https://nvda.ws/3CeozBQ 👥Join the Community → https://nvda.ws/3ZMfc6e