Deploy a Medium-Sized LLM with Ray Serve LLM

Deploy a Medium-Sized LLM with Ray Serve LLM#

💻 Launch Locally: You can run this notebook locally, but you’ll need access to multiple GPUs.

🚀 Launch on Cloud: A Ray Cluster with 4-8 GPUs (Click here to easily start a Ray cluster on Anyscale) is recommended to run this notebook.

This notebook demonstrates how to deploy a medium-sized LLM using Ray Serve LLM. We’ll walk through the complete process from configuration to production deployment, covering both local development and cloud deployment with Anyscale Services.

Here is the roadmap for this notebook:

Overview: Why Medium-Sized Models?
Setting up Ray Serve LLM
Local Deployment & Inference
Deploying to Anyscale Services
Advanced Topics: Monitoring & Optimization
Summary & Outlook