SAN MATEO, Calif. – April 16, 2025 – AI knowledge platform firm Hammerspace introduced that a number of enterprise buyers have invested $100 million in progress capital within the firm.
Altimeter Capital, which inveted in Meta, MongoDB, NVIDIA, Snowflake and Uber, led the Sequence B spherical.
ARK Make investments, led by Cathie Wooden, joined the spherical by means of its ARK Enterprise Fund. Recognized for its conviction-based investing in disruptive expertise corporations—together with early bets on Tesla, NVIDIA and Palantir—ARK sees Hammerspace as foundational to the efficiency infrastructure AI calls for, in keeping with Hammerspace.
The rest of the funding spherical was crammed out by a mixture of recent and present buyers.
Hammerspace stated knowledge efficiency has advanced from a aggressive edge to a requirement within the race to scale AI infrastructure. Hammerspace delivers that edge throughout each dimension of unstructured knowledge: storage, entry, motion, and deployment. Whether or not coaching hundreds of GPUs on-premises or within the cloud, deploying large-scale inference or maximizing NVMe efficiency in native GPU servers, Hammerspace is purpose-built to unleash knowledge efficiency at scale.
“AI isn’t ready. The race isn’t nearly uncooked throughput—it’s about how briskly you possibly can deploy, transfer knowledge and put your infrastructure to work. Each delay is unrealized potential and wasted funding,” stated David Flynn, Hammerspace Founder and CEO. “We constructed Hammerspace to remove friction, compress time-to-results and considerably improve GPU utilization. That’s how our prospects win.”
“Hammerspace understands that AI is just as highly effective as the info it might attain,” stated Jamin Ball, Accomplice at Altimeter Capital. “Its structure removes the bottlenecks which are ravenous right now’s most superior compute environments.”
Early buyers recognized Hammerspace as a disruptive pressure in knowledge infrastructure effectively earlier than AI workloads reshaped enterprise, hyperscaler and cloud priorities. With demand for high-speed, scalable entry to knowledge now surging, present supporters proceed to spend money on Hammerspace to assist its growth right into a fast-growing market.
International expertise leaders, together with Hitachi Vantara (a subsidiary of Hitachi Ltd., HTHIY) and Supermicro (SMCI), are constructing options on Hammerspace’s software program for patrons like Meta, the U.S. Division of Protection, the Nationwide Science Basis, and main life sciences organizations. These deployments reveal a brand new customary in efficiency throughout hybrid, multi-cloud, and edge environments—with out complexity or vendor lock-in.
Hammerspace offers organizations a Linux-native, standards-based, parallel file system and object retailer that delivers unmatched efficiency throughout file and object protocols utilizing customary Ethernet or high-speed interconnects like InfiniBand. The platform uniquely overcomes knowledge gravity by combining prompt data-in-place assimilation from different sources with high-speed motion throughout hybrid environments – all within the service of delivering peak efficiency all over the place.
“Efficiency has all the time been the start line, however the way you ship it at scale is what separates the following era of platforms from legacy infrastructure,” continued Flynn. “The whole lot we’ve constructed—from the metadata engine to deployment structure to protocol assist—maximizes efficiency in any setting.”
Hammerspacesaid it stands aside as the primary platform constructed solely across the efficiency wants of contemporary computing. From unmatched GPU throughput to prompt entry throughout file and object knowledge to deployment time measured in minutes—not weeks—each functionality of the platform is designed to take away bottlenecks, maximize pace and ship scale.
“We didn’t construct orchestration for the sake of it,” Flynn stated. “We orchestrate knowledge to the GPU sooner no matter the place it’s bodily saved. We immediately assimilate knowledge from third-party storage so it’s able to course of sooner. We deploy and scale simply and shortly so our prospects can obtain their enterprise outcomes sooner. We’re the one AI knowledge platform that allows Tier 0, offering absolutely the quickest efficiency for AI workloads, bar none. Hammerspace uniquely approaches efficiency holistically from time to first token by means of all the mannequin’s response. It’s a game-changer for our prospects and the business.”
With this newest funding, Hammerspace will speed up international growth and deepen its place because the efficiency platform of document for AI, HPC and hybrid cloud environments.
