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The Data Platform for AI Anywhere

Unify, Orchestrate, and Accelerate Unstructured Data for Distributed AI and HPC Workflows.
Any Storage. Any Cloud. Anywhere.
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  • Eliminate Data Silos.
  • Overcome Data Gravity.
  • Enable Hybrid-Cloud Agility.
  • Improve Team Productivity.
  • Modernize Infrastructure for AI.
  • Simplify Data Governance.
  • Accelerate AI-Readiness.
  • Maximize GPU Utilization.
  • Utilize Existing Infrastructure.
  • Eliminate Vendor Lock-in.
  • Streamline Global Collaboration.
  • Make Unstructured Data AI-Ready.
  • Automate Data Management.

Trusted by Organizations Building the Future of AI

    One Platform

    Five Ways to Put Your Data to Work

    Others create new silos. We unify the ones you already have.

    AI Data Platform

    The Simplest Path to AI Data Readiness

    Fragmented data is the critical barrier to enterprise AI. Hammerspace solves it differently, from disconnected silos to a connected, powerful AI data pipeline.

    AI Data Platform

    • Unify. Don't Centralize.

      Centralizing AI data is the enemy of an agile strategy. Instantly catalog unstructured data across any silo using data-in-place assimilation — eliminating the heavy overhead of copy-first pipelines that stall AI initiatives.

    • Automate Global Data Orchestration.

      Free your data engineers from manual infrastructure logistics. Objective-based policies dynamically move data to the right compute location without changing user access or disrupting application file paths.

    • Accelerate AI Workflows.

      Collapse the time between data and insight. Hammerspace delivers data to GPU clusters, AI applications, and agents the moment they need it, without proprietary middleware.

    Hammerspace Tier 0 Architecture

    Use Server-local NVMe as a Shared High-Performance Tier

    Hammerspace Tier 0 architecture transforms 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. 

    4.4x
    Higher Throughput
    56%
    Lower Latency
    66%
    Faster Checkpointing
    • Delivers shared access to server-local NVMe across the cluster
    • Automated data orchestration between Tier 0 and capacity tiers
    • No client or agent to install on the compute nodes
    Avoid network bottlenecks.
    Increase GPU utilization.
    Complete checkpoints faster.
    Improve response times for inferencing and agentic AI.
    Discover Tier 0

    Hybrid Environments

    True Multi-Cloud Freedom for Distributed Enterprises

    Your workloads shouldn’t be hostage to where your data lives. Hammerspace makes your data a single pool of resources, available anywhere. Shift workloads among your own data centers, or move them to AWS, Azure, GCP, or OCI without bulk data migration. 

    • Leverage GPUs in the Cloud: Use Hammerspace data orchestration and its global namespace to access cloud GPUs for AI and HPC workloads across hybrid cloud environments.

    • Expand with Public Cloud Storage: Add capacity with cloud storage and GPU-local NVMe across Tier 0, Tier 1, and Tier 2 to overcome on-prem SSD constraints.

    • Accelerate Time-to-Value: Avoid months-long hardware waits and start AI projects sooner by making data available to cloud compute quickly and transparently.

    Hybrid Cloud Capabilities
    Hammerspace Global Namespace

    Customer Story

    Vanderbilt ACCRE reduced storage costs by 48% without replacing a single storage system.

    Advanced Computing Center for Research & Education

    Hammerspace Infrastructure

    Built by the Architects of Modern Infrastructure

    We don’t just build AI infrastructure.
    We built the foundations it runs on.

    Hammerspace is led by the world’s foremost minds in Linux, storage, and AI data systems — not consultants, not second-generation startups, but the creators of the standards and technologies everyone else depends on. At the core of our engineering team are individuals who shaped the very fabric of today’s data infrastructure:

    David Flynn

    The original architect whose vision became NVMe, and the inventor behind the modern flash storage revolution.

    Mike Bloom

    The AI architect behind data systems for LLM builders, neoclouds, and GenAI enterprise strategies.

    Trond Myklebust

    The principal Linux NFS maintainer, and a driving force in the Linux kernel for over two decades.

    Mike Snitzer

    Core Contributor to the Linux storage stack. If it runs block storage, it runs his code.

    Brian Pawlowski

    The co-architect of NFSv3 at Sun and the NetApp CTO who helped define enterprise NAS as we know it. 

    Tom Haynes

    The co-author of the NFSv4.2 protocol, the standard everyone else implements.

    Every AI Initiative Starts With Better Data

    The 2026 Enterprise SSD Crisis Survival Guide

    Enterprise SSD prices have surged 200% and lead times now exceed 5 months. Don't let supply chain bottlenecks stall your modernization or AI initiatives.
    Download the Guide

    The Hammerspace Data Platform Architecture

    Traditional, storage-centric architectures lock unstructured data into fragmented silos across sites and clouds. Read the comprehensive architectural breakdown of how Hammerspace separates file metadata from data to create a single parallel global file system—unifying access and automating data mobility without disruptive migrations.
    Read the Whitepaper

    Validated Performance: IO500 Benchmark Results

    High performance without efficiency creates additional complexity and higher costs. See why recent IO500 benchmark results demonstrate how Hammerspace delivers 2x the HPC-class AI performance with less than 50% of the infrastructure.
    View the Benchmark Results

    Stop Waiting on Your Data Infrastructure

    See how Hammerspace eliminates the bottlenecks stalling your AI initiatives.
    Talk to Our Team