從第一性原理理解連續批處理（Continuous Batching）
Original: Continuous batching from first principles
This technical blog post from Hugging Face takes a "First Principles" approach to provide a deep analysis of one of the most critical…
Hugging Face 發布技術教學，從第一性原理深入探討 LLM 推理的關鍵優化技術「連續批處理（Continuous Batching）」。文章解析了傳統靜態批處理在處理變長文本時的低效問題，並詳細說明如何透過 Token 級別的動態調度，在 Prefill（預填充）與 Decode（解碼）階段最大化 GPU 利用率。這對於想優化 LLM 部署成本與吞吐量的開發者與研究人員是必讀指南。
This technical blog post from Hugging Face takes a "First Principles" approach to provide a deep analysis of one of the most critical optimization techniques in modern large language model (LLM) inference serving: Continuous Batching (sometimes also called Iteration-level batching).
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