Hammerspace helped by transforming the underutilized local NVMe storage in GPU servers into a new ultra high-performance shared Tier 0 storage tier. This solution delivers up to 10 times faster data access than external storage, reduces dependency on expensive external flash arrays, cuts power consumption by about 95%, and drastically accelerates AI workloads like training and checkpointing. By integrating local storage into a unified global namespace with automated data orchestration and protection, Hammerspace boosts GPU utilization and cuts infrastructure costs without requiring new storage hardware.

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