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LLM Inference Optimization: vLLM, Quantization, and Batching

2026-08-06 vLLM / TensorRT-LLM Official Docs

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.