vLLM has consolidated as the most widely adopted LLM serving engine in production. A review of recent improvements, what changes for operators, and what remains a weak point.
Read morevLLM in 2025: the improvements that matter to LLM-serving teams
Tag: vllm
vLLM: Serving LLMs in Production with Very High Throughput
vLLM has become the reference for serving LLMs on GPU. PagedAttention, continuous batching, OpenAI-compatible API. How to deploy it well and when it is worth it.
Read moreSGLang: Fine Control Over LLM Execution
SGLang adds a DSL for controlling LLM generation with constrained decoding, branching, and prefix caching. When it beats vLLM and why RadixAttention changes the arithmetic.
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