Hugging Face: Deriving Continuous Batching from First Principles
techNmak · x · 2026-10-17
techNmak is compiling an LLM inference learning list; entry 2 is Hugging Face's November 2025 article Continuous batching from first principles (450+ upvotes).
Starting from attention mechanisms and KV caching, the article derives continuous batching step by step by optimizing for throughput: it explains the prefill/decode compute asymmetry, the core vocabulary of latency and throughput, why batching works, and how chunked prefill and dynamic scheduling fit in. A solid systematic introduction for anyone who wants to actually understand serving optimizations.
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