Production LLM serving is now a systems problem, not a generate() loop. For real workloads, the choice of inference stack drives your tokens per second, tail latency, and ultimately cost per million tokens on a given GPU fleet. This comparison focuses on 4 widely used stacks: 1. vLLM, PagedAttention as the open baseline Core idea […] The post vLLM vs TensorRT-LLM vs HF TGI vs LMDeploy, A Deep Technical Comparison for Production LLM Inference appeared first on MarkTechPost .