How to Build High-Performance GPU-Accelerated Simulations and Differentiable Physics Workflows Using NVIDIA Warp Kernels

NVIDIA Warp enables developers to build high-performance GPU-accelerated simulations directly from Python. This tutorial covers setting up Warp in Colab-compatible environments, initializing kernels for CUDA GPUs or CPUs, and implementing custom Warp kernels for differentiable physics workflows. Warp provides flexible deployment options and powerful simulation capabilities for scientific computing.