New SwiftStack 7 Offers Ultra-Scale Performance and Capacity for Data Storage and Management from Edge to Core to Cloud
Summary
Emerging data-intensive applications require a modern storage architecture with the ability to feed thousands of GPUs working in parallel, from a single global namespace spanning edge, core, and cloud data stores. Independent third-party testing on similar hardware and workloads validates SwiftStack 7 is multiple times faster than competitors, realizing extremely high production throughput speeds at over 100GB per second. This customer-proven architecture stack satisfies the storage performance needed by GPU compute complexes and modern AI frameworks accessing and processing hundreds of petabytes of data. “Data scientists are constrained by inherited infrastructure, particularly in performance, scalability, cost, metadata enrichment, workflow integration, and portability to accommodate data at the edge, core, and cloud,” said George Crump, Chief Steward at Storage Switzerland. Its software is popular in industries like autonomous vehicles, media and entertainment, global service providers, life sciences, and web-based businesses; and for functions like deep learning, analytics, scientific research, and leveraging large asset repositories.
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