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Prefill Once, Fan Out: KV Snapshot Sharing for Multi-Agent LLM Pipelines
https://towardsdatascience.com/kv-cache-reuse-for-multi-agent-llm-inference-i-built-a-c-orchestrator-so-my-gpu-would-stop-reading-the-same-document-twice/(towardsdatascience.com)When multiple AI agents need to analyze the same document, they often waste significant time and computational power by independently reprocessing the entire text from scratch. A systems-engineering approach called SwarmKV solves this by processing the shared document only once to create a key-value (KV) cache snapshot. This snapshot is then efficiently copied and distributed to each agent, allowing them to skip the redundant work and begin their unique tasks almost instantly. This "compute once, fan out" method dramatically improves performance, making a two-agent pipeline nearly twice as fast and reducing the second agent's activation latency by over 50 times.
0 points•by hdt•2 hours ago