Introducing the Hammerspace AI Data Platform.
Data is your organization’s most valuable asset—but only if your AI applications can actually access it securely and efficiently. The Hammerspace AI Data Platform eliminates the gap between your existing storage infrastructure and your AI applications.Â
Combining data-in-place assimilation, powerful natural-language agentic workflows, and deep data intelligence, Hammerspace transforms raw, fragmented enterprise data into AI-ready fuel in minutes, not months.
Unify All Your Data, Seamlessly
Unify access and control of all data across any storage without the cost, risk, and disruption of data migrations.
Hammerspace unifies your data estate by creating a single multi-protocol global namespace that spans existing and new storage across all locations. Your files and objects—whether on-premises, in the cloud, or at the edge—become globally accessible via standard file/object protocols, with no need for proprietary client software or agents. This enables seamless collaboration and streamlines distributed workloads for AI and other use cases, without needing to migrate data to new repositories.
Automate Control of Data Placement and Protection ServicesÂ
Apply global business rules across all silos to meet performance and cost requirements.
Hammerspace automates control of distributed data with an objectives-based policy engine that manages data protection, data placement, and other critical data services. Powered by metadata-driven intelligence, Hammerspace Service Level Objectives reduce the complexity of wrangling multi-silo, multi-site environments, ensuring your data is where it needs to be to meet performance, protection, and budget requirements.
Accelerate Workflows With Data Orchestration
Deliver data to high-performance workloads without disrupting users or applications.
Hammerspace transparently orchestrates unstructured data across silos and locations in the background—without disrupting users or applications, even on live data. Triggered by Objectives from the Hammerspace automation engine, data placement is seamless across all storage types from any vendor up and down the performance hierarchy. Feed GPUs or other high-performance workloads across on-premises, remote, or clouds without the disruption or vendor lock-in of traditional data tiering or migration point solutions. Â
An Open Approach to Data Storage
Open, high-performance architecture that bridges all storage types.
Leverage data in place across any storage, from any vendor, for any use case, while activating our standards-based parallel file system to accelerate AI workloads on existing or new infrastructure. This includes transforming local NVMe within on-premises or cloud GPU clusters into a high-performance shared storage tier, delivering performance that surpasses any networked storage in the industry—and without needing proprietary client software.
Unify All Your Data, Seamlessly
Unify access and control of all data across any storage without the cost, risk, and disruption of data migrations.
Hammerspace unifies your data estate by creating a single multi-protocol global namespace that spans existing and new storage across all locations. Your files and objects—whether on-premises, in the cloud, or at the edge—become globally accessible via standard file/object protocols, with no need for proprietary client software or agents. This enables seamless collaboration and streamlines distributed workloads for AI and other use cases, without needing to migrate data to new repositories.
Global NamespaceAutomate Control of Data Placement and Protection Services
Apply global business rules across all silos to meet performance and cost requirements.
Hammerspace automates control of distributed data with an objectives-based policy engine that manages data protection, data placement, and other critical data services. Powered by metadata-driven intelligence, Hammerspace Service Level Objectives reduce the complexity of wrangling multi-silo, multi-site environments, ensuring your data is where it needs to be to meet performance, protection, and budget requirements.
Accelerate Workflows With Data OrchestrationÂ
Deliver data to high-performance workloads without disrupting users or applications.
Hammerspace transparently orchestrates unstructured data across silos and locations in the background—without disrupting users or applications, even on live data. Triggered by Objectives from the Hammerspace automation engine, data placement is seamless across all storage types from any vendor up and down the performance hierarchy. Feed GPUs or other high-performance workloads across on-premises, remote, or clouds without the disruption or vendor lock-in of traditional data tiering or migration point solutions.Â
Data OrchestrationAn Open Approach to Data Storage
Open, high-performance architecture that bridges all storage types.
Leverage data in place across any storage, from any vendor, for any use case, while activating our standards-based parallel file system to accelerate AI workloads on existing or new infrastructure. This includes transforming local NVMe within on-premises or cloud GPU clusters into a high-performance shared storage tier, delivering performance that surpasses any networked storage in the industry—and without needing proprietary client software.
Hammerspace Tier 0
Tier 0 Activates the AI‑Ready Infrastructure You Already Own.
Hammerspace Tier 0 unlocks local NVMe performance to read and write data up to 10x faster than using external networked storage - on-prem and in-cloud.
Avoid network bottlenecks.
Increase GPU utilization.
Complete checkpoints faster.
Improve response times for inferencing and agentic AI.
The Power of a Unified Data Platform.
Data Orchestration
Enables automated data delivery to GPUs and models, anywhere
Global Namespace
Enables unified, hybrid‑cloud data plane
Custom Metadata
Enables metadata‑indexed discovery & selection
Open & Standards‑Based
Enables silo‑free, use‑anywhere data access
The Power of a Unified Data Platform.
Break Down Silos with Data Assimilation
Instantly discover and assimilate metadata from your existing NAS, object, and cloud storage systems. This unifies all your data into one global environment, collapsing fragmented storage into a single logical dataset for immediate AI access.
Orchestrate Data with Intelligent Automation
Define policies to automate data movement and placement across the edge, core, and cloud. This eliminates manual data copies and the bottlenecks that slow down your workflows.
Deliver Extreme Performance for GPUs
Enables metadata‑indexed discovery & selection
Built on Open Standards for Universal Compatibility
Enables silo‑free, use‑anywhere data access
Built by the Architects of Modern Infrastructure
The Hammerspace team isn’t just using the foundational technologies of AI infrastructure—we helped create them. Our engineering leadership includes the architects and maintainers of the very technologies modern systems are built on.
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:
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.Â
Tom Haynes
The co-author of the NFSv4.2 protocol, the standard everyone else implements.
Powering the
Most Demanding Data Workflows
AI Inferencing
Unifies unstructured data, prewarms datasets, and feeds GPUs at wire speed for low-latency inference.
AI Training
Combines Tier 0 and parallel file system to keep GPUs saturated, accelerating training throughput, efficiency.
Cloud Computing
Unifies data across sites and clouds, enforcing policies and minimizing egress while accelerating cloud workloads.
Data Analytics
Creates one global namespace and orchestrates datasets to compute, speeding queries, pipelines, and interactive analytics.
Machine Learning
Unifies training and inference data, automates placement, and maximizes GPU utilization for faster model iteration.
GPU Acceleration
Feeds GPUs from Tier 0 shared NVMe, eliminating bottlenecks and boosting token throughput and TTFT.
High-performance Computing (HPC)
Delivers parallel file performance across sites, keeping compute saturated while simplifying data movement and access.
Retrieval Technologies (RAG)
Unifies files and objects, accelerating retrieval augmented generation while ensuring governance.
Make AI Anywhere a Reality!
See how Hammerspace can unify all your data, accelerate your AI workloads, and deliver results faster.
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