vLLM

vLLM: An LLM serving engine optimising throughput and memory with techniques such as PagedAttention and continuous batching. It supports many models and backends but requires tuning. Metrics include latency, concurrency, KV cache and service quality. This perspective connects the definition with practical behaviour in artificial intelligence systems.

In italiano: vLLMLegge IV · Loss, gradiente e ottimizzatori

It supports many models and backends but requires tuning. Metrics include latency, concurrency, KV cache and service quality.

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