vLLM
High-throughput LLM serving engine
Expert verdict
Ship
3-0The Panel's Take
vLLM is a high-throughput, memory-efficient LLM inference engine with PagedAttention. The standard for self-hosted LLM serving with continuous batching and speculative decoding.
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vLLM verdict: SHIP 🚀 3 ships · 0 skips from the expert panel Full review: shiporskip.io/tool/vllm
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<a href="https://shiporskip.io/api/badge-click/vllm" target="_blank" rel="noopener"><img src="https://shiporskip.io/api/badge/vllm" alt="vLLM Ship verdict on ShipOrSkip" width="360" height="90" /></a>[](https://shiporskip.io/api/badge-click/vllm)<iframe src="https://shiporskip.io/embed/vllm" title="vLLM ShipOrSkip verdict" width="360" height="260" style="border:0;border-radius:16px;max-width:100%;" loading="lazy"></iframe>The reviews
“PagedAttention is a breakthrough for inference efficiency. The standard for production self-hosted LLM serving.”
“If you're self-hosting LLMs, vLLM is the obvious choice. Battle-tested and actively maintained.”
“Self-hosted inference will remain important for latency, cost, and privacy. vLLM is the infrastructure layer.”