Hammerspace helped by creating a unified global namespace that consolidates data across diverse storage types, locations, and clouds into a single, accessible resource. This metadata-driven platform enables seamless, low-latency access to large volumes of unstructured AI data, regardless of whether it resides on-premises, in edge locations, or public clouds. It simplifies data management, eliminates file copies, and ensures consistent data access paths, allowing AI workloads to dynamically access and orchestrate data near GPUs with automated, policy-driven placement and protection. This approach reduces latency, improves collaboration, and future-proofs AI infrastructure by decoupling data from storage location.

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