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1. gke-ray-train gke-ray-train Public

   A series of demos for running training & fine tuning jobs of LLMs on Ray & GKE for distributed workloads.

   Python 1 2

2. gke-ray-llm-workflows gke-ray-llm-workflows Public

   Forked from anyscale/e2e-llm-workflows

   Fine-tune an LLM to perform batch inference and online serving.

   Python 1

3. gpu-recipes gpu-recipes Public

   Forked from AI-Hypercomputer/gpu-recipes

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

   Shell

4. gcloud-setups gcloud-setups Public

   A series of recipes and demos for creating AI Infrastructrure and workloads in Google Cloud.

   Shell 1

5. darmokjr darmokjr Public

   The purpose of this project is to explore and profile different distributed training strategies on PyTorch across different machine configurations.

6. vertex-tpu-phi3 vertex-tpu-phi3 Public

   Recipes and resources for launching phi3-mini-128k-instruct on Vertex AI on TPU

   Jupyter Notebook