Hammerspace Posts Nearly 14x YTD Bookings Over Full-Year 2025 as AI Shifts to Inference and Physical AI

Key Takeaways

• Bookings 2026 up nearly 14× versus full‑year 2025.
• TTFT reduced to seconds, eliminating data copy delays.
• Gross retention >95% and NPS 71 indicate strong customer loyalty.
• Partnerships with Hitachi Vantara and Supermicro expand market reach.
• Adoption rising in government, sovereign cloud, and neocloud sectors.

Pulse Analysis

The AI landscape is moving beyond model creation toward large‑scale inference and physical‑AI deployments that demand ultra‑low latency and massive data throughput. Traditional storage architectures, which rely on copying data into dedicated silos, create bottlenecks that increase time‑to‑first‑token and inflate costs. Hammerspace’s platform sidesteps these constraints by delivering in‑place data access across on‑premise GPUs, cloud services and emerging neoclouds, allowing organizations to repurpose existing infrastructure for AI workloads without costly over‑hauls.

Growth figures illustrate the market’s appetite for such capabilities. Bookings for 2026 are projected to be almost fourteen times the full‑year 2025 level, a signal that enterprises are accelerating AI operationalization. The company’s time‑to‑first‑token advantage—measured in seconds rather than days—directly translates into faster model deployment and lower per‑token expenses. High gross retention above 95% and an NPS of 71 further demonstrate that customers view Hammerspace as a strategic, long‑term partner for AI initiatives.

Strategic partnerships amplify Hammerspace’s reach and credibility. Collaborations with Hitachi Vantara and Supermicro integrate the platform into pre‑qualified hardware stacks, simplifying deployment for hybrid and sovereign cloud environments. Meanwhile, the expanded presence on Oracle Cloud Infrastructure taps into a global customer base seeking scalable, GPU‑centric AI solutions. As governments and high‑frequency trading firms prioritize secure, low‑latency AI, Hammerspace’s ability to unify distributed data without replication positions it to capture a growing slice of the AI‑infrastructure market.