MinIO rolled out its second major product earlier this month. Dubbed MemKV, the software expands the KV cache layer in AI inference clusters, thereby enabling bigger context windows. Living at the 3.5G layer in Nvidia’s CMX stack, MinIO says MemKV will give customers microsecond context retrieval latencies on petabyte-scale data sets. As AI inference workloads […] The post Inside MemKV, MinIO’s 3.5G Solution for KV Cache Acceleration appeared first on HPCwire .

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