Hammerspace

https://hammerspace.com
https://www.linkedin.com/company/hammerspace/

Hammerspace, a privately owned company headquartered in the US, was founded in 2018 and employs approximately 210 individuals. The company reported $30.0M in revenue as of 2024. Its primary offering is a content supply chain solution. Hammerspace specializes in delivering a global data environment designed to connect data with users and applications, making it accessible anywhere, anytime.

2024 Revenue

Founded

2018

Headcount

227

Headquarters

United States

Primary Segment

IT Services and IT Consulting

Ownership

Privately Owned

Deployments

News Summary:

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Hammerspace offers products in the media tech industry. Hammerspace's product portfolio comprises of media cloud and storage.

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Hammerspace's revenues were less than $50M in 2024. All the revenue comes from real-time / NAS / SAN storage.

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Aug

31st

2026

18:52

Events, Emerging Tech, Artificial Intelligence, B2B Tag, Events and Conferences

Hammerspace Emphasizes AI Data Orchestration and GPU-Ready Workflows

According to a recent LinkedIn post from Hammerspace , the company was featured at the RAISE Summit in Paris, where executive Molly Presley discussed its role in AI data orchestration. The post highlights how Hammerspace aims to bridge the gap between enterprise data stores and AI workflows by ensuring data moves efficiently to GPU resources.

TipRanks

Aug

27th

2026

17:32

B2B Tag

AI-Driven Storage Management: Real Intelligence in 2026

Your team is shrinking while your data footprint doubles, and every manual tiering decision is a bottleneck waiting to become an outage. AI-driven storage management uses machine learning against a rich, real-time metadata layer to automate tiering, classification, and governance across petabyte-scale unstructured data, executing defined policies autonomously instead of relying on manual scripts.

Hammerspace

Aug

24th

2026

17:33

B2B Tag

Enterprise Unstructured Data Management: 2026

Your storage capacity keeps growing, yet finding, classifying, and acting on the right data at the right moment feels harder every quarter. Enterprise unstructured data management is not fundamentally about buying more capacity. It is about orchestrating data across silos, sites, and clouds through metadata intelligence and policy automation, so files become governable, AI-ready assets.

Hammerspace

Aug

20th

2026

17:32

B2B Tag

HPC Storage Optimization 2026: Kill I/O Bottlenecks Fast

Your cluster has thousands of cores sitting idle right now, waiting on storage. That is the quiet reality most HPC teams live with, and it silently drains allocation hours no one budgets for. HPC storage optimization means restructuring the data path so I/O stops capping compute utilization: faster checkpoint writes, a unified namespace across clusters, and mixed-workload support on shared storage.

Hammerspace

Aug

17th

2026

17:33

Emerging Tech, Artificial Intelligence, B2B Tag

AI Workload Storage Requirements: Sizing GPU Clusters

You spent months justifying the capital for your GPU cluster, and now those accelerators sit idle waiting on data. AI workload storage requirements center on sustained throughput measured in GB/s, low-latency metadata operations, and parallel file access that keeps GPUs saturated during training and inference.

Hammerspace

Aug

13th

2026

01:00

B2B Tag

Hybrid Cloud Data Orchestration: Moving Beyond Lift-and-Shift to Policy-Driven Data Intelligence

Hammerspace

Aug

10th

2026

17:33

Emerging Tech, Artificial Intelligence, B2B Tag

Parallel NFS Architecture: Scalable AI Storage Guide 2026

Your GPU cluster is only as fast as the data feeding it, and legacy NFS was never built to keep thousands of accelerators saturated. Parallel NFS architecture solves this by separating the metadata plane from the data plane, letting clients read and write directly to multiple storage nodes in parallel instead of serializing every request through one gateway.

Hammerspace

Aug

6th

2026

12:35

B2B Tag, Events and Conferences

Modernizing HPC and AI Infrastructure with a Unified Data Platform

Discover how a unified data platform can accelerate HPC and AI initiatives by simplifying data access across on-premises and cloud environments. Experts from Carahsoft, Hammerspace, and Cisco Federal share how integrated infrastructure, AI software, and data management solutions can reduce deployment time, lower costs, strengthen security, and streamline AI operations.

Hammerspace

Aug

4th

2026

17:45

B2B Tag

Global Namespace Storage 2026: Unify Data, No Migration

Most “unified storage” you evaluate is not a global namespace at all. It is federation with a friendlier dashboard, and that distinction determines whether your data stays fragmented or actually becomes coherent across sites and clouds.

Hammerspace

Aug

4th

2026

09:30

Artificial Intelligence, B2B Tag

The Cost of AI Isn’t What You Think

Why operationalizing enterprise data is becoming the next economic challenge for production AI This article continues the discussion introduced in Today’s AI Infrastructure Race Will Be Won Before the First Token, examining how the operational time metrics of AI readiness evolve into the broader economics of production AI.

Hammerspace

Jul

31st

2026

13:07

Emerging Tech, B2B Tag, Events and Conferences

The Three Time Metrics of Token Economics | Webinar

As organizations scale AI from pilot projects to production, success is no longer defined by GPUs alone—it’s determined by how quickly data can be transformed into business value. In this webinar, Hammerspace introduces the three critical time metrics shaping modern AI infrastructure: Time to Very First Token, Time to First Token, and Time per Token.

Hammerspace

Jul

30th

2026

14:59

Emerging Tech, Artificial Intelligence, B2B Tag, New Offerings

AI Storage Orchestration: End GPU Starvation

The Storage Bottleneck in Modern AI Infrastructure Seventy percent of AI projects fail not because of poor model architecture or insufficient compute power, but due to data infrastructure issues that starve GPUs and delay time-to-insight. The bottleneck isn’t your hardware.

Hammerspace

Hammerspace's customers primarily consist of search, social, and retail media, entertainment Providers and generative AI companies. Examples of Hammerspace's customers include Meta, Fox Networks Group and Meta AI.