Recipes for reproducing training and serving benchmarks for large machine learning models using GPUs on Google Cloud.

This repository contains the results and code for the MLPerf™ Training v4.1 benchmark.

A simple, performant and scalable Jax LLM!

A simplified and automated orchestration workflow to perform ML end-to-end (E2E) model tests and benchmarking on Cloud VMs across different frameworks.