CUDA Programming for Nvidia H100s (www.freecodecamp.org)

A comprehensive new course on CUDA programming for NVIDIA's Hopper GPUs, specifically the H100, has been launched on the freeCodeCamp.org YouTube channel. This educational content focuses on building efficient Warp Group Matrix Multiply Accumulate (WGMMA) pipelines and utilizing CUTLASS optimizations for significant matrix multiplications that are critical in modern AI applications. The course delves into advanced topics such as multi-GPU scaling, NCCL primitives, and the architecture of the H100—including specifications on HBM3, tensor cores, and the intricacies of shared memory and thread block clustering. This development is significant for the AI/ML community as it equips developers with the necessary skills to harness the full potential of cutting-edge hardware for training complex models, including those with trillions of parameters. With lessons tailored for individuals familiar with C++ and linear algebra, the curriculum covers an extensive array of technical topics from async operations and kernel design to multi-GPU programming strategies. As the demand for more powerful AI models grows, this course will provide practitioners with the tools to accelerate their work in the field and optimize performance on NVIDIA’s advanced architecture.