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Google Cloud Managed Lustre with llm-d offloading serves as a cluster-wide attention cache tier for multi-node LLM inference. On a six-node A3 Mega cluster running Llama-3.3-70B, the approach achieves over 50% TCO savings and nearly 60% fewer GPU-hours with a 95% cache hit rate.
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