llel file systems, the solution harnesses advanced hardware–software co-design to deliver breakthrough performance, seamless scalability, and superior cost efficiency for ultra-large-scale AI computing environments.

Architectural Innovation: Overcoming AI Training Efficiency Bottlenecks.

The KAYTUS solution establishes a unified namespace with native multi-protocol access across file, object, and block storage. By leveraging high-capacity QLC flash pools and NVMe-oF fully shared interconnects, it redefines the unified data plane for AI storage, effectively eliminating the data silos inherent in traditional tiered architectures. Data can now flow on demand to GPU nodes without cross-system migration, enabling sub-millisecond access, and significantly improving AI training data retrieval efficiency.


Hardware Optimization:Engineered for read-intensive workloads, the solution features a PCIe 5.0 direct-connect architecture that doubles single-node
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