ML engineers moving from prototyping to production deployment of open-source LLMs (Llama, Mistral, Gemma) need to configure an optimized serving stack — vLLM, TGI, or TensorRT-LLM — with the right batching, quantization, and scaling settings for their throughput and latency requirements.