KAYTUSLaunchesAll-QLCFlashStorageatAIEXPO2026for10,000-GPUClusters
===2026/5/8 16:29:03===
I/O bandwidth compared to the previous generation. Combined with NUMA-balanced optimization, it effectively eliminates internal throughput bottlenecks.
Software Synergy:The solution integrates NFS over RDMA and native GPU Direct Storage technology, enabling direct data paths from QLC flash to GPU memory. By leveraging a disaggregated architecture that decouples protocol processing from storage states, it eliminates east-west traffic and achieves fully linear scaling of bandwidth and throughput, from petabyte to exabyte scale.
10,000-GPU Cluster Benchmarks: Exceptional Performance, Scalability, and Cost Efficiency
In benchmark testing in an exabyte-scale storage environment for a 10,000-GPU data center, the solution—powered by KR2280 and KR1180 nodes and optimized with industry-leading AI-native parallel file systems—demonstrated its capability to scale seamlessly to support computing clusters of up to 10,000 GPUs.
Extre
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