In a recent interview with James Coomer from DataDirect Networks (DDN), Mike Matchett explores the groundbreaking features of EXAScaler, a high-performance file system designed to cater to AI workloads and more.
EXAScaler is a parallel file system with intelligent client capabilities. Coomer compares EXAScaler with scale-out NAS, highlighting its ability to eliminate bottlenecks and reduce complexities in large-scale environments.
The latest version of EXAScaler introduces revolutionary data reduction techniques, leveraging low-cost QLC (quad-layer cell) flash technology, significantly lowering costs while maintaining top-notch performance. Additionally, client-side compression optimizes data movement, thereby improving bandwidth utilization.
EXAScaler is poised to transform the storage landscape for super pods and base pods, making high-performance file systems more accessible and cost-effective for enterprises grappling with massive generative AI datasets.