Developed the Llama 3.1 8B Training Environment Setup for JAX 0.6.1 in the AI-Hypercomputer/tpu-recipes repository, focusing on streamlining onboarding and enabling reproducible experiments. Addressed critical build-time issues by patching Dockerfile variables and resolving dependency conflicts, ensuring the environment could be reliably built and run across common platforms. Enhanced the documentation to guide users through the setup process, clarifying steps for managing JAX and TPU dependencies. Leveraged skills in devops, Docker, and JAX to update training recipes, ultimately reducing setup time and friction for new users while supporting faster experimentation with Llama 3.1 8B on JAX 0.6.1.