Modern GPU and CPU servers include terabytes of high-performance NVMe storage, yet in most environments that storage remains largely underutilized because it is siloed and only accessible locally.
In a large compute cluster this could represent hundreds of terabytes or even petabytes of NVMe flash storage, which could be used for training, checkpointing, and inferencing.
A Hammerspace Tier 0 architecture transforms that server-local NVMe into a shared high-performance storage tier, activating flash capacity already deployed across the compute cluster as part of the Hammerspace Data Platform. The result is low-latency storage for AI and HPC workloads while reducing reliance on dedicated external flash infrastructure.
Transform your distributed storage into a single, high-performance Global Namespace. Hammerspace seamlessly assimilates your existing infrastructure in minutes, uses intelligent policies to automate data placement, and delivers ultra-low latency data directly to your most demanding AI and HPC workloads—all without disruptive migrations.
AI infrastructure performance increasingly depends on how quickly data can be delivered to GPUs. A Hammerspace Tier 0 architecture transforms server-local NVMe into a shared high-performance storage tier, placing data closer to compute resources and reducing the latency and I/O bottlenecks associated with external shared storage.
In real-world performance benchmarking, Tier 0 architectures have demonstrated 4.4x higher throughput, 56% lower latency, and 66% faster checkpoint saves relative to external shared storage.
Modern GPU and CPU servers include terabytes of high-performance NVMe storage, yet in most environments that storage remains largely underutilized because it is siloed and only accessible locally.
In a large compute cluster this could represent hundreds of terabytes or even petabytes of NVMe flash storage, which could be used for training, checkpointing, and inferencing.
A Hammerspace Tier 0 architecture transforms that server-local NVMe into a shared high-performance storage tier, activating flash capacity already deployed across the compute cluster as part of the Hammerspace Data Platform. The result is low-latency storage for AI and HPC workloads while reducing reliance on dedicated external flash infrastructure.
While a Tier 0 architecture does not eliminate the need for external storage, it can reduce the amount of dedicated flash infrastructure required to support AI and HPC workloads. By activating NVMe capacity already deployed across the compute environment, organizations can reserve new flash investments for workloads that truly require them, reducing storage costs, power consumption, and rackspace requirements. In large-scale GPU and AI environments, the operational and infrastructure savings can be substantial.
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