Continuous Batching (2024年)（コンティニュアスバッチング）
2024年成熟Continuous Batching・Industry-leading iteration-level scheduling + Industry-leading dynamic batch insertion + Industry-leading 23x throughput improvement + Industry-leading vLLM PagedAttention Continuous Batching inference optimization 2024。
概要
Continuous Batching は2024年成熟・Industry-leading iteration-level scheduling 2024年vLLM PagedAttention Continuous Batching inference optimization position確立。Industry-leading dynamic batch insertion + 23x throughput improvement vs static batching + Orca paper Yu+Jeong+Bae+Won+Lee 2022 → 2024 vLLM mature。
主な特徴・仕組み
- Industry-leading Gyeong-In Yu + Joo Seong Jeong + Geon-Woo Bae + Soojeong Won + Byung-Gon Lee (Seoul National University + FriendliAI) Orca 2022 paper → 2024 vLLM mature
- Industry-leading Continuous Batching inference optimization signature
- Industry-leading iteration-level scheduling signature (vs request-level)
- Industry-leading dynamic batch insertion signature (new requests join mid-batch)
- Industry-leading 23x throughput improvement vs static batching signature
- Industry-leading vLLM + TGI + LMDeploy + TensorRT-LLM standard
- Industry-leading PagedAttention compatibility signature
- Industry-leading variable-length sequence handling
- Industry-leading 2022 OSDI paper "Orca A Distributed Serving System for Transformer-Based Generative Models"
- Industry-leading 2024 LLM serving framework de facto standard
まとめ
Continuous Batching = 2024年成熟Orca + vLLM発表のpremium inference optimization。Industry-leading iteration-level scheduling vs request-level + dynamic batch insertion new requests join mid-batch + 23x throughput improvement vs static batching + vLLM + TGI + LMDeploy + TensorRT-LLM standard + PagedAttention compatibility + variable-length sequence handling + 2022 OSDI paper Orca + 2024 LLM serving framework de facto standard + Gyeong-In Yu + Joo Seong Jeong + Geon-Woo Bae + Soojeong Won + Byung-Gon Lee Seoul National University + FriendliAI 2022→2024 mature position確立。