Serve a Custom LLM for Over 100 Customers - GPU Selection, Quantization, and API Setup

Learn how to serve a custom Large Language Model (LLM) for over 100 customers in this comprehensive 52-minute video tutorial. Explore key topics including server selection, API software choices, and GPU optimization techniques. Discover one-click templates for easy implementation and gain insights on using quantization to maximize GPU efficiency. Follow along with a step-by-step Vast.ai setup and learn to serve Mistral with vLLM and AWQ, handling concurrent requests. Delve into function calling models and conduct API speed tests. Master the skills needed to efficiently deploy and manage LLMs for multiple users in this informative and practical guide.

Serving a model for 100 customers
Video Overview
Choosing a server
Choosing software to serve an API
One-click templates
Tips on GPU selection.
Using quantisation to fit in a cheaper GPU
Vast.ai setup
Serve Mistral with vLLM and AWQ, incl. concurrent requests
Serving a function calling model
API speed tests, including concurrent
Video Recap