Developer Guide: Running Google Gemma 4 on AWS G5g Using Pure JAX

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A developer has published a step-by-step guide for deploying Google's Gemma 4 open model on AWS EC2 G5g instances using the JAX array computing library. The G5g instance pairs an AWS Graviton2 Arm processor with an NVIDIA T4G GPU, making it the cheapest EC2 option offering a full NVIDIA GPU at $0.42 per hour for the xlarge tier. The project targets the rare aarch64-plus-CUDA hardware combination, which is largely overlooked by the mainstream machine learning ecosystem. The setup uses a custom Gemma 4 JAX port served through an OpenAI-compatible FastAPI server, with all remote administration handled via AWS SSM rather than SSH. The guide requires an AWS account with appropriate quotas, a Hugging Face token for model access, and specific AWS networking resources before deployment can begin.

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