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MinIO adds petabyte-scale MemKV cache for Nvidia GPU inference

MinIO introduces MemKV, a petabyte-scale caching system for Nvidia GPUs, built on its AIStor object storage. It leverages Nvidia's STX architecture to provide microsecond-latency shared context across GPU clusters, boosting utilization from 50% to over 90% in a 128-GPU deployment and yielding $2 million annual compute savings.

SourceHacker News AIAuthor: bjflanne
MinIO adds petabyte-scale MemKV cache for Nvidia GPU inference
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Key points

  • MemKV sits atop GPU HBM, CPU DRAM, and local SSD caches, using BlueField-4 DPUs for seamless data movement.
  • It improves time-to-first-token and GPU utilization significantly in large-scale inference workloads.
  • MinIO positions MemKV as a G3.5 tier, purpose-built for inference, contrasting with legacy storage approaches.

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