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The process of moving active processing tasks from one worker to another without losing state.
Distinct from Request Cancellation: Focuses on migrating active requests between healthy nodes rather than simply cancelling them.
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Dynamo is a distributed inference orchestration platform designed for large language models. It functions as a system to coordinate prefill and decode phases across GPU nodes, utilizing a multi-backend runtime adapter to connect engines like vLLM and TensorRT-LLM through a unified block-oriented memory interface. An OpenAI-compatible API server provides the frontend for integration with existing tools and clients. The project is distinguished by its disaggregated serving architecture, which separates prompt processing and token generation onto independent GPU pools to optimize throughput and
Moves active requests to healthy workers during failures to prevent request loss.