Hammerspace Solutions for the Public Sector

Unifies unstructured data, prewarms datasets, and feeds GPUs at wire speed for low latency inference.

Combines Tier 0 and parallel file system to keep GPUs saturated, accelerating training throughput, efficiency.

Unifies data across sites and clouds, enforcing policies and minimizing egress while accelerating cloud workloads.

Creates one global namespace and orchestrates datasets to compute, speeding queries, pipelines, and interactive analytics.

Unifies training and inference data, automates placement, and maximizes GPU utilization for faster model iteration.

Feeds GPUs from Tier 0 shared NVMe, eliminating bottlenecks and boosting token throughput and TTFT.

Delivers parallel file performance across sites, keeping compute saturated while simplifying data movement and access.

Unifies files and objects, prestages embeddings and corpora, accelerating retrieval augmented generation while ensuring governance.