ScaleOps is a repository dedicated to collecting and sharing findings from exploring and optimizing the scalability and performance of AI workloads.
The website is available at https://tomaslaz.github.io/scale-ops.
The website uses a Distill-style Jekyll theme created by https://github.com/alshedivat/al-folio and the Distill team.
This project was inspired by the How to Scale Your Model book by the JAX-ML team and shamelessly reuses their setup and some of their ideas.