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Research Report

Hammerspace Tier 0: Unlocking Greater Efficiency in GPU-Driven Computing

Mitch Lewis

Updated

The short answer

In our latest Research Brief, Hammerspace Tier 0: Unlocking Greater Efficiency in GPU-Driven Computing , The Futurum Group explores how organizations can overcome latency and storage inefficiencies by unlocking stranded NVMe capacity within GPU servers.

Futurum's Mitch Lewis,

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Mitch Lewis, The Futurum Group, "Hammerspace Tier 0: Unlocking Greater Efficiency in GPU-Driven Computing," April 28, 2025. https://preview.erikbethke.com/research-reports/hammerspace-tier-0-unlocking-greater-efficiency-in-gpu-driven-computing/

Hammerspace Tier 0: Unlocking Greater Efficiency in GPU-Driven Computing

AI and HPC workloads are driving explosive demand for GPU infrastructure, but organizations are struggling to keep up. Performance is being throttled not by processors, but by data access. While today’s GPU servers come equipped with high-speed NVMe storage, much of that capacity goes underused, stranded inside individual nodes due to legacy storage architectures.

Enter Hammerspace Tier 0: a new storage tier that unlocks local NVMe performance across GPU clusters. By orchestrating stranded storage into a shared, high-performance layer, Tier 0 enables IT teams to accelerate AI applications, improve GPU utilization, and dramatically lower infrastructure costs without adding more hardware or complexity.

In our latest market report, Hammerspace Tier 0: Unlocking Greater Efficiency in GPU-Driven Computing, The Futurum Group explores the technical challenges that constrain AI deployments and how Hammerspace’s Global Data Platform introduces a transformative approach to performance, scalability, and efficiency in data orchestration.

In this report, you will learn:

  • How GPU server storage can be transformed into a high-speed shared data tier
  • Why traditional network-attached storage introduces costly bottlenecks in AI and HPC environments
  • How Tier 0 enables up to 10x faster checkpointing and boosts GPU utilization by up to 15%
  • Why standards-based protocols like NFS, SMB, and S3 make deployment seamless

If you want to explore how to maximize your investment in AI infrastructure, download your copy of Hammerspace Tier 0: Unlocking Greater Efficiency in GPU-Driven Computing today.

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Published by Futurum.

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