LLM Inference Optimization: vLLM, Quantization, and Batching
After a large model goes live, inference throughput and latency directly drive cost and user experience. This guide explains continuous batching, PagedAttention, KV cache, quantization, and speculative decoding with vLLM and TensorRT-LLM.