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vLLM Disaggregated Mode (Open-source Industry-leading・2024年)(ブイエルエルエムディスアグリゲーテッド)

2024年Q3-Q4 vLLM Project (UC Berkeley Sky Computing Lab・2023年Open-source inference engine release以来 Industry-leading Open-source LLM inference engine・GitHub 30k+ stars・Industry-leading Open-source community + Production deployment Industry-wide adoption) Disaggregated Mode support addition・vLLM Disaggregated mode implementation・Industry-leading Open-source Disaggregated Inference implementation + Prefill-Decode separation deployment support + Industry-leading Open-source community adoption + Industry-wide Production deployment Industry-emerging paradigm support + Industry-leading Open-source paradigm shift adoption。

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2026/5/20 更新
関連タグ
vllm-disaggregated
vllm-project
open-source-disaggregated
industry-leading-open-source-inference
uc-berkeley
industry-wide-adoption
paradigm-shift-adoption

概要

vLLM Disaggregated Mode は、2024年Q3-Q4 vLLM Project (UC Berkeley Sky Computing Lab originating + Industry-wide community-driven Open-source project・2023年6月Initial release以来 1.5年継続 Industry-leading Open-source LLM inference engine・GitHub 30k+ stars + Industry-leading Open-source community + Production deployment Industry-wide adoption・vLLM Industry-leading Open-source inference engine + Industry-leading academic origin + Industry-wide community contribution) Disaggregated Mode support addition・vLLM Disaggregated mode implementation。vLLM Industry-leading position (2023年6月vLLM 0.1.0 initial release以来・PagedAttention KV Cache memory management Industry-leading + Continuous Batching scheduling Industry-leading + Industry-leading Open-source LLM inference engine + Industry-leading Open-source community adoption + Industry-wide Production deployment + Anthropic + 多AI Cloud providers + Together AI + Fireworks + Anyscale + 多 LLM serving Industry-wide adoption + Industry-leading Open-source LLM inference engine standard establishment)。vLLM Disaggregated Mode specifications = Disaggregated Mode support addition (vLLM 2024年Q3-Q4 development cycle・Industry-emerging Disaggregated Inference paradigm support implementation + Prefill-Decode separation deployment support + Industry-emerging paradigm Industry-leading Open-source implementation adoption) + Industry-leading Open-source Disaggregated Inference implementation (Industry-leading Open-source implementation・Mooncake Moonshot AI proprietary + SplitWise Microsoft Research proprietary + DistServe Stanford + UC Berkeley + Apparate Open-source academic implementation + vLLM Disaggregated Industry-leading Open-source production-ready implementation + Industry-wide Open-source ecosystem alignment + Industry-leading Open-source community adoption + Industry-wide Production deployment Industry-emerging paradigm support) + Prefill-Decode separation deployment support (Prefill GPU pool + Decode GPU pool deployment configuration + Multi-GPU cluster Industry-emerging paradigm deployment + Industry-leading Open-source Prefill-Decode separation deployment support) + Industry-leading Open-source community adoption (vLLM Industry-leading Open-source community・GitHub 30k+ stars + Multi-organization contribution + Industry-wide adoption ecosystem + Industry-emerging paradigm Open-source ecosystem adoption Industry-leading) + Industry-wide Production deployment Industry-emerging paradigm support (Anthropic + Together AI + Fireworks + Anyscale + 多AI Cloud providers + LLM serving Production deployment Industry-wide adoption + Industry-emerging paradigm vLLM Disaggregated Industry-wide Production deployment adoption + Industry-leading Open-source paradigm shift adoption) + Industry-leading Open-source paradigm shift adoption (Industry-emerging Disaggregated Inference paradigm 2024年wave + vLLM Industry-leading Open-source community adoption Industry-leading paradigm shift adoption + Industry-wide paradigm shift adoption Industry-leading Open-source ecosystem foundation)。

主な特徴・仕組み

  • Project: vLLM Project (UC Berkeley Sky Computing Lab originating + Industry-wide community-driven Open-source)
  • Initial Release: 2023年6月vLLM 0.1.0 initial release + 1.5年Industry-leading inference engine
  • Disaggregated Mode: 2024年Q3-Q4 Disaggregated Mode support addition
  • Implementation Type: Industry-leading Open-source Disaggregated Inference implementation
  • Architecture Support: Prefill GPU pool + Decode GPU pool deployment configuration
  • GitHub Status: 30k+ stars + Industry-leading Open-source community
  • Production Adoption: Anthropic + Together AI + Fireworks + Anyscale + 多AI Cloud providers + LLM serving
  • Industry Position: Industry-leading Open-source paradigm shift adoption
  • Open Source: Open-source ecosystem alignment + Industry-wide adoption ecosystem
  • Industry Influence: Industry-leading Open-source paradigm shift adoption Industry-wide

スペック比較表

Disaggregated Inference Adoption (2024)TypeProduction StatusOpen Source
vLLM Disaggregated ModeOpen-source production-readyIndustry-wide Production adoption◎ Apache 2.0
Mooncake (Moonshot AI)Proprietary productionIndustry-leading production deployment× Proprietary
SplitWise (Microsoft Research)Academic research paperAzure trial potential× Microsoft proprietary
DistServe (Stanford + UC Berkeley)Academic + Open-sourceAcademic + Open community◎ Open-source academic
Industry-standard combined inferenceIndustry-standard combinedIndustry-standard 2023年baseline△ Mixed

具体例・対応製品

  • vLLM Disaggregated Mode (2024年Q3-Q4 addition): Industry-leading Open-source implementation
  • vLLM 0.x.x Standard Mode (2023年6月以来 baseline): Industry-leading Open-source inference engine
  • vLLM GitHub Repository: 30k+ stars + Industry-leading Open-source community
  • vLLM PagedAttention (2023年Q3): Industry-leading KV Cache memory management
  • vLLM Continuous Batching (Built-in): Industry-leading scheduling optimization
  • 競合 SGLang Disaggregated: SGLang Disaggregated alternative + Industry-emerging Open-source

自作PCでの選び方・注意点

vLLM Disaggregated Mode は「Industry-leading Open-source Disaggregated Inference implementation (Industry-leading Open-source implementation・Mooncake Moonshot AI proprietary + SplitWise Microsoft Research proprietary + DistServe Stanford + UC Berkeley + Apparate Open-source academic implementation + vLLM Disaggregated Industry-leading Open-source production-ready implementation + Industry-wide Open-source ecosystem alignment + Industry-leading Open-source community adoption + Industry-wide Production deployment Industry-emerging paradigm support)」「vLLM Industry-leading Open-source position (vLLM 2023年6月Initial release以来 1.5年継続 Industry-leading Open-source LLM inference engine・GitHub 30k+ stars + Industry-leading Open-source community + Production deployment Industry-wide adoption・PagedAttention KV Cache memory management Industry-leading + Continuous Batching scheduling Industry-leading + Industry-leading Open-source LLM inference engine standard establishment)」「Industry-wide Production deployment Industry-emerging paradigm support (Anthropic + Together AI + Fireworks + Anyscale + 多AI Cloud providers + LLM serving Production deployment Industry-wide adoption + Industry-emerging paradigm vLLM Disaggregated Industry-wide Production deployment adoption + Industry-leading Open-source paradigm shift adoption)」用途のIndustry-leading Open-source Disaggregated Inference implementation 2024年vLLM Project product。Industry-leading Open-source Disaggregated Inference implementation (Industry-leading Open-source implementation・Mooncake Moonshot AI proprietary production + SplitWise Microsoft Research proprietary academic + DistServe Stanford + UC Berkeley + Apparate Open-source academic + vLLM Disaggregated Industry-leading Open-source production-ready implementation・Industry-wide Open-source ecosystem alignment + Industry-leading Open-source community adoption + Industry-wide Production deployment Industry-emerging paradigm support) で Industry-leading Open-source implementation + Industry-wide adoption pathway + Industry-leading Open-source community access + Industry-leading production-ready Industry-emerging paradigm adoption + Industry-wide ecosystem alignment。vLLM Industry-leading Open-source position (vLLM 2023年6月Initial release以来 1.5年継続 Industry-leading Open-source LLM inference engine・GitHub 30k+ stars + Industry-leading Open-source community + Production deployment Industry-wide adoption・PagedAttention KV Cache memory management Industry-leading + Continuous Batching scheduling Industry-leading + Industry-leading Open-source LLM inference engine standard establishment・Anthropic Claude inference + Together AI Cloud inference + Fireworks Cloud inference + Anyscale Ray-based inference + 多AI Cloud providers + LLM serving Industry-wide adoption + Industry-leading Open-source LLM inference engine standard establishment) で Industry-leading Open-source community + Industry-leading inference engine reputation + Industry-wide Production deployment adoption + Industry-leading Open-source ecosystem alignment + Industry-leading Open-source community contribution + Industry-leading academic origin + Industry-leading Open-source community alignment。Industry-wide Production deployment Industry-emerging paradigm support (Anthropic + Together AI + Fireworks + Anyscale + 多AI Cloud providers + LLM serving Production deployment Industry-wide adoption・Anthropic Claude inference Industry-leading + Together AI Industry-leading Cloud inference + Fireworks Industry-leading Cloud inference + Anyscale Ray-based inference + Industry-wide Production deployment ecosystem + Industry-emerging paradigm vLLM Disaggregated Industry-wide Production deployment adoption + Industry-leading Open-source paradigm shift adoption + Industry-wide ecosystem influence) で Industry-wide Production deployment ecosystem + Industry-emerging paradigm Industry-leading adoption + Industry-wide paradigm shift adoption Industry-leading Open-source ecosystem foundation + Industry-leading Open-source paradigm shift adoption Industry-wide。但しIndustry-emerging paradigm implementation maturity (vLLM Disaggregated Mode 2024年Q3-Q4 addition recent・Industry-leading Open-source implementation but Industry-emerging maturity + Production deployment maturity continuous evolution + Industry-leading Open-source community contribution + Industry-wide adoption pathway evolution + Industry-leading Open-source community feedback loop driven maturity acceleration) で Long-term Industry-leading Open-source paradigm shift adoption + Industry-leading Open-source community feedback driven maturity acceleration + Industry-wide Production deployment ecosystem maturity evolution + Industry-emerging adoption pathway。

関連用語との違い

  • vs Mooncake (Moonshot AI): vLLMはOpen-source + Industry-wide adoption + Apache 2.0・MooncakeはMoonshot AI proprietary + Kimi production exclusive
  • vs DistServe (Stanford + UC Berkeley + Apparate): vLLMはProduction-ready Open-source + Industry-wide adoption・DistServeはAcademic + Open-source + UC Berkeley原origin相互関連
  • vs SGLang Disaggregated: vLLMはIndustry-leading Open-source + GitHub 30k+ stars・SGLangはIndustry-emerging Open-source alternative

よくある質問(FAQ)

Q1: vLLM Industry-leading Open-source value は? A: vLLM Industry-leading Open-source position (2023年6月Initial release以来 1.5年継続 Industry-leading Open-source LLM inference engine・GitHub 30k+ stars + Industry-leading Open-source community + Production deployment Industry-wide adoption + PagedAttention KV Cache memory management Industry-leading + Continuous Batching scheduling Industry-leading + Industry-leading Open-source LLM inference engine standard establishment) で Industry-leading Open-source community + Industry-leading inference engine reputation + Industry-wide Production deployment adoption + Industry-leading Open-source ecosystem alignment。

Q2: Disaggregated Mode adoption maturity は? A: vLLM Disaggregated Mode 2024年Q3-Q4 addition recent・Industry-leading Open-source implementation but Industry-emerging maturity + Production deployment maturity continuous evolution + Industry-leading Open-source community contribution + Industry-wide adoption pathway evolution + Industry-leading Open-source community feedback loop driven maturity acceleration + Long-term Industry-leading Open-source paradigm shift adoption + Industry-wide Production deployment ecosystem maturity evolution。

Q3: vLLM Disaggregated Mode + Mooncake + DistServe ecosystem alignment は? A: vLLM Disaggregated Mode (Industry-leading Open-source production-ready implementation) + Mooncake (Moonshot AI proprietary production deployment evidence) + DistServe (Stanford + UC Berkeley + Apparate Open-source academic foundation) + SplitWise (Microsoft Research academic foundation) = Industry-emerging Disaggregated Inference paradigm 2024年wave Industry-wide research + production + Open-source ecosystem comprehensive + Industry-leading paradigm shift adoption Industry-wide ecosystem alignment。

まとめ

vLLM Disaggregated Mode = 2024年Q3-Q4 vLLM Project追加のDisaggregated Inference Open-source implementation。Prefill-Decode separation deployment support + Industry-leading Open-source community adoption + Industry-wide Production deployment Industry-emerging paradigm support + vLLM 2023年6月Initial release以来 1.5年Industry-leading Open-source LLM inference engine + GitHub 30k+ stars + Industry-leading Open-source community + Industry-leading Open-source paradigm shift adoption + Industry-wide ecosystem alignment。

この記事について
カテゴリーAI・機械学習
難易度上級
作成日2026/5/20