Hammerspace Tier 0 Turns GPU Storage Into AI Infrastructure

As AI infrastructure scales, one of the industry’s biggest challenges is no longer simply GPU availability. Increasingly, organizations are confronting the cost, complexity, and latency associated with feeding those GPUs with data fast enough to sustain modern AI training and inferencing workloads.

At the center of that problem is storage architecture.

AI training, checkpointing, inferencing, and emerging agentic AI applications all require high-throughput, low-latency access to massive volumes of unstructured data. Traditionally, organizations have addressed those demands through external flash storage arrays paired with high-speed networking infrastructure — an approach that can consume significant capital, power, cooling, and rack space while slowing deployment timelines.

Hammerspace is positioning its Tier 0 architecture as an alternative model designed to unlock the performance potential of storage already deployed inside GPU servers.

The concept behind Tier 0 is relatively straightforward: activate local NVMe storage inside GPU clusters and expose it as a shared, orchestrated high-performance storage layer managed through the Hammerspace Data Platform.

Rather than relying exclusively on external storage arrays, organizations can leverage existing GPU server-local NVMe capacity as a new shared storage tier for AI workloads.

According to Hammerspace, Tier 0 environments can be activated rapidly without deploying new storage hardware or installing client agents. The company says deployments can move from installation to active data serving in less than half a day by deploying Hammerspace software, assimilating metadata from existing storage volumes, configuring shares and policies, and then connecting applications and users through a unified global namespace.

The architecture is designed to support bare metal, virtualized, cloud, and hybrid-cloud environments while enabling multi-protocol access and automated data mobility policies.

One of the primary goals is performance. Hammerspace says Tier 0 enables organizations to access local NVMe speeds without the network bottlenecks commonly associated with external shared storage environments. The company claims workloads can achieve read and write performance up to 10 times faster than traditional external network-attached storage architectures, both on-premises and in cloud deployments.

Cost reduction is another major element of the pitch.

By utilizing existing GPU server storage assets, organizations can potentially reduce their reliance on external flash storage systems, lowering infrastructure costs while also reducing associated power consumption and rack footprint. Hammerspace positions Tier 0 as less expensive both on a raw capacity basis and on a performance-per-dollar basis compared to conventional external storage architectures.

The model also aligns with broader hybrid-cloud and multi-cloud AI infrastructure trends. Through Hammerspace’s Global Namespace and data orchestration policies, organizations can unify edge, core, and cloud environments while moving data closer to GPU resources regardless of physical location.

The company says the architecture has already been deployed in large-scale AI environments, including one unnamed frontier model developer that reportedly activated 20 petabytes of Tier 0 storage across existing GPU nodes within days and without purchasing additional storage hardware.

Industry analysts are also beginning to examine the implications of the approach for HPC and AI infrastructure economics.

“Hammerspace offers an innovative approach that stands to change the economic equation of high-performance storage for AI/ML and HPC,” according to Enterprise Strategy Group.

For organizations seeking to scale AI infrastructure without continuously expanding external storage footprints, Tier 0 reflects a broader shift underway in AI infrastructure design: treating GPU-local storage not as stranded capacity, but as a strategic performance layer inside the AI data pipeline.

Download the Hammerspace Tier 0 Whitepaper