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Unmatched GPU I/O Speed

Feed More GPUs with Substantially Less Infrastructure Cost and Power
Power 16.5X More GPUs with Tier 0 vs External Storage

Stop Starving Your GPUs – Start Using the NVMe You Already Own

AI infrastructure isn’t just about stacking more GPUs. It’s about feeding them efficiently. But while organizations invest heavily in high-end GPU servers, the local NVMe storage inside those servers often sits idle—powered, provisioned, and paid for, but completely unused.

That’s wasted performance. And worse, wasted budget.

Legacy storage architectures force you to overbuild:

  • Proprietary software stacks
  • Specialized client agents
  • Exotic networking
  • Massive external storage systems

This complexity might be tolerable in niche deployments—but it’s a non-starter at enterprise scale and a deal-breaker for hyperscalers.

They want high-performance using:

  • Standard Linux clients
  • Standard storage protocols
  • Existing Ethernet networks
  • No proprietary software
  • Maximum dollars and watts reserved for GPU computing

Tier 0 unlocks the performance already sitting inside your GPU servers—eliminating the need to build inefficient, power-hungry storage systems just to move data around.

Explore Tier 0

The Problem with Traditional Parallel File Systems & Storage Solutions

They Can’t Utilize Modern GPU Environments Without Overbuilding Infrastructure
External shared storage systems fail to keep up with modern AI workloads. Even with aggressive tuning and high-speed networking, their design inherently requires large-scale client and server deployments.

You don’t just need fast I/O—what is required is scalable I/O per GPU, without retooling your infrastructure every time you scale.

Increase Performance & Infrastructure Efficiency! How Hammerspace Changes Everything

How We Measured 16.5X More GPUs per Client

With Hammerspace Tier 0, your local NVMe storage is no longer stranded. It becomes part of a shared parallel file system, feeding GPUs with orders-of-magnitude lower latency and linearly scaling throughput.

Tier 0 gives you the I/O performance of a major network upgrade—without replacing a single switch.

In the MLPerf 1.0 benchmark testing conducted in the Hammerspace performance lab:

  • A single Tier 0 client using internal NVMe was able to support 33 simulated H100 GPUs, compared to just two simulated GPUs per client with Lustre
  • Resulting in a 16.5X or greater increase in GPU support per client over the fastest Lustre benchmark
Storage is Holding AI Back

While compute and networking have leapt ahead to support dense, high-performance GPU infrastructure, storage systems are still stuck in a legacy mindset—slow to scale, wasteful to deploy, and expensive to operate.

To keep up, enterprises are forced to overbuild, overpay, and overpower outdated storage architectures. That’s not innovation—it’s a workaround.

Tier 0 from Hammerspace is the Fix

It turns local NVMe into ultra-fast shared storage, eliminates the need for specialized hardware, and delivers the I/O performance GPUs demand—without the drag of legacy external storage design.

Stop scaling around the bottleneck. Eliminate it.

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Fastest AI Data Platform in the Cloud

2x Lustre speed. Identical infrastructure.