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Hammerspace
Hammerspace tackles the defining data problem of the AI era: data is everywhere across sites, storage silos, and clouds. However, users and applications need it to behave as if it were in one place. Its Global Data Environment enables read/write access to any user and any application, in any data centre or cloud, breaking data free from the constraints of individual storage systems.
Hammerspace's core innovation is separating the metadata control plane from the data plane. It presents a single global namespace across heterogeneous storage (NAS, parallel file systems, object, cloud), with data orchestrated automatically by objective-based policies. Placement, tiering, and movement happen behind the scenes while files stay continuously accessible.
It builds on standards-based parallel NFS (pNFS v4.2 with Flex Files), so extreme performance requires no proprietary clients.
Hammerspace's Hyperscale NAS architecture turns commodity Linux storage into a parallel-performance tier.
It allows geographically distributed teams work on the same namespace, with data staged to compute wherever it runs whether that be cluster, cloud burst, or partner facility.
Hammerspace has become a key AI data platform underpinning data infrastructure for hyperscale LLM training environments.
