What kinds of ML bottlenecks are a good fit for Triton? [Manning giveaway] [D]

Explain Like I'm Normal

A new technical guide for OpenAI's Triton language has entered early access, aiming to help developers write custom GPU kernels without the pain of low-level C++. It focuses on bypassing framework bottlenecks like memory traffic and tiling to squeeze maximum performance out of hardware during inference and training. This is a must-read for anyone trying to optimize their own model architectures at the silicon level.