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A Datacenter Scale Distributed Inference Serving Framework
翻訳待ち
開発ツールRust · PythonGitHub @ai-dynamo自分でインストール所有者未確認
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The open-source, datacenter-scale inference stack. Dynamo is the orchestration layer above inference engines — it doesn't replace SGLang, TensorRT-LLM, or vLLM, it turns them into a coordinated multi-node inference system. Disaggregated serving, intelligent routing, multi-tier KV caching, and automatic scaling work together to maximize throughput and minimize latency for LLM, reasoning, multimodal, and video generation workloads. Built in Rust for performance, Python for extensibility. [README 설치·사용 부분 발췌] Quick StartRead the full README ↗
| Docs | Roadmap | Recipes | Examples | Containers | Digest | Design Proposals | How to Contribute | Slack |
The open-source, datacenter-scale inference stack. Dynamo is the orchestration layer above inference engines — it doesn't replace SGLang, TensorRT-LLM, or vLLM, it turns them into a coordinated multi-node inference system. Disaggregated serving, intelligent routing, multi-tier KV caching, and automatic scaling work together to maximize throughput and minimize latency for LLM, reasoning, multimodal, and video generation workloads.
Built in Rust for performance, Python for extensibility.
This is the beginning of the README. Read the rest at the original. Read the full README ↗