Pure JAX on G5g: Serving Gemma 4 on Graviton and a T4G
This article provides a step by step deployment guide for serving Google's Gemma 4 on an AWS EC2 G5g instance using pure JAX. The code is here: github.com/xbill9/gemma4-dev What is this project trying to Do? This project aims to serve a modern open model on the cheapest whole CUDA GPU AWS will rent you, and to measure honestly what that costs. Aren't You Using The Wrong GPU? Probably! The T4G is…
This article offers a step-by-step deployment guide for serving Google's Gemma 4 model on a cost-effective AWS EC2 G5g instance using pure JAX. The project goal is to serve a modern open model on the least expensive NVIDIA GPU offered by AWS and measure the associated costs accurately. The T4G instance, a Turing chip from 2018, lacks bfloat16 and fp8 support but is still a viable option due to its affordability, availability, and compatibility with Graviton2 hosts.
The article provides a detailed guide on setting up the required environment, installing the necessary dependencies, running tests, launching the instance, and deploying the server.
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