What actually happens between an API call and a token. A tour of the serving stack — batching, KV cache, autoscaling and the cost of every millisecond.
LLM Inference Architecture: GPUs, Model Servers, APIs, and Scaling
What actually happens between an API call and a token. A tour of the serving stack — batching, KV cache, autoscaling and the cost of every millisecond.
Marcus Feld13 min read
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Written by
Marcus Feld
Senior Writer, AI Infrastructure
Marcus covers GPU infrastructure, LLM serving and MLOps. He has built inference platforms for teams shipping models to production.
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