Modal GPU Glossary Maps the Full GPU Stack in Four Chapters
The takeaway is that GPU literacy for AI engineers can be structured as one coherent hierarchy — threads, memory and hardware map onto each other layer by layer — rather than scattered vendor docs. Practitioners writing or tuning CUDA kernels for inference and training workloads can use it as both a reference and a linear course. It is a free web resource from Modal, an infrastructure provider, and reads more accessibly than the CUDA C++ Programming Guide.
