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Communication systems and protocols designed to accelerate the movement of KV cache blocks between nodes.
Distinct from Activation and KV Cache Offloaders: Focuses on the transport/migration of cache rather than storage, offloading, or quantization
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llm-d is a distributed serving framework designed for large language model inference. It functions as an inference orchestrator and gateway, providing a control plane for deploying model replicas and managing hardware accelerators. The system includes a batch inference scheduler and a cache manager to coordinate request flow and memory utilization. The project is distinguished by a disaggregated serving architecture that separates prefill and decode execution phases across specialized workers to maximize throughput. It employs a hardware-agnostic control plane and tiered cache offloading, mov
Reduces tail latency during context migration using adaptive congestion control and specialized libraries.