Hammerspace helped accelerate AI workloads by activating untapped local NVMe storage within GPU servers, transforming it into a high-performance Tier 0 shared storage. This breakthrough provides up to 10x faster data access than external storage, drastically reducing checkpointing time and increasing GPU utilization. By integrating this local storage into a unified global data platform with automated data orchestration, Hammerspace maximizes existing resources, reduces storage costs, power consumption, and infrastructure complexity, enabling faster, more efficient AI model training and data processing.

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