Serve large language models efficiently with batching, KV caching, quantization, and cost controls.
## CONTEXT A team is putting an LLM into production and the GPU costs and latency are alarming. They want an efficient LLM serving architecture covering continuous batching, KV-cache management, quantization, and request routing, with hard cost controls. ## ROLE Act as an LLM infrastructure engineer fluent in vLLM,…
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