C++ for ML Infrastructure

The course for engineers building the infrastructure that ML runs on. Covers distributed training communication (NCCL, MPI), custom CUDA kernels for attention and matmul, model parallelism strategies, and building a parameter server in C++. Used by engineers at ML infrastructure teams.