We love TPUs at Google, but GPUs are great too. This chapter takes a deep dive into the world of NVIDIA GPUs – how each chip works, how they’re networked together, and what that means for LLMs, especially compared to TPUs. This section builds on Chapter 2 and Chapter 5, so you are encouraged to read them first.| jax-ml.github.io
TL;DR: We developed a compiler that automatically transforms LLM inference into a single megakernel — a fused GPU kernel that performs…| Medium
Get higher performance with a set of GPU-accelerated libraries, tools, and technologies.| NVIDIA Developer
IO Subsystem for Modern, GPU-Accelerated Data Centers| NVIDIA