AI-Hypercomputer/gpu-recipes

This repository is a collection of accelerated platform best practices, reference architectures, example use cases, reference implementations, and various other assets on Google Cloud.

Exemplar Performance provides recipes in ready-to-use templates for evaluating performance of specific AI use cases across hardware and software combinations.

Reference implementations of MLPerf® training benchmarks

Local AI registry: one validated recipe per machine, with the evidence attached

CloudAI Benchmark Framework

Hugging Face Deep Learning Containers (DLCs) for Google Cloud

Optimized GPU compiler for LLM inference. Choose from a list of optimized recipes or optimize your own model via kernel fusion, autotuning, and advanced scheduling. Run benchmarks across different GPU types and configurations, track results and share experiments with the community.

⛔️ DEPRECATED - The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and TensorFlow code in a local environment to distributed training in the cloud.