Introduction to CUDA programming for harnessing the parallel processing capabilities of Nvidia GPUs, including setting up development environments and writing basic CUDA kernels.
Best practices and optimization techniques for developers to maximize ray tracing performance using Nvidia RTX technology in real-time rendering applications.
Overview of Nvidia's deep learning software development kits (SDKs) and popular frameworks like TensorFlow and PyTorch, along with resources for training and deploying deep neural networks on Nvidia GPUs.
