Hammerspace has been named to the CRN 2026 Cloud 100 list, recognized for its innovative data platform that enhances AI training and inferencing performance in the cloud. The company's technology addresses a key bottleneck by delivering Tier 0, NVMe-class storage performance to GPU clusters on-demand, then automatically moving data to cost-efficient object storage. This approach is designed to maximize GPU utilization and improve cloud economics for AI workloads across hybrid and multi-cloud environments.
Hammerspace's data platform is named to the CRN 2026 Cloud 100 list.
The platform improves AI training and inferencing by providing on-demand Tier 0 storage performance.
It automatically transitions data to low-cost object storage after peak demand, optimizing cloud spend.
The solution operates across on-premises and cloud environments via a unified global namespace.
It aims to eliminate I/O bottlenecks that stall GPU pipelines, maximizing cluster efficiency.
The recognition highlights its channel-focused approach and innovation in cloud infrastructure.
A critical challenge in cloud-based AI is storage I/O performance failing to keep pace with GPU processing power, leading to underutilized, expensive resources. Hammerspace's platform directly targets this issue. “The performance of GPU clusters is often limited by cloud storage that can’t feed data to the GPUs fast enough,” said David Flynn, Founder and CEO of Hammerspace. The solution delivers Tier 0, NVMe-class performance directly to GPUs only when needed, sustaining full pipeline throughput during active AI workloads.
The core innovation lies in the platform's dynamic, workload-aware data orchestration. Unlike static, permanently provisioned high-performance storage, Hammerspace engages Tier 0 storage for the duration of a compute job. Once the workload completes, the system automatically orchestrates the movement of outputs to scalable, cost-efficient object storage. This model allows organizations to access maximum performance without incurring permanent premium storage costs, aiming to dramatically improve the economics of large-scale AI in the cloud.
Hammerspace software creates a single global namespace that spans on-premises storage and cloud resources, presenting a unified view of data to applications and users. This architecture eliminates data silos and removes the need for application rewrites or manual data migration when moving workloads. It enables enterprises to leverage compute wherever GPUs are available—across clouds or on-premises—while maintaining an open, standards-based approach that avoids vendor lock-in.
CRN's Cloud 100 list highlights companies that are both technologically innovative and dedicated to supporting channel partners. Hammerspace's inclusion follows significant partner-focused initiatives in 2025, including global roadshows, expanded enablement resources, and new distribution models. These efforts are designed to equip solution providers with the tools to build successful AI infrastructure practices around the Hammerspace platform.
By bridging the performance-cost gap in AI infrastructure, Hammerspace's data platform aims to make scalable AI more accessible and efficient. Its recognition on the CRN Cloud 100 list underscores its role in transforming how enterprises deploy high-performance, economically viable AI pipelines across increasingly complex hybrid cloud landscapes.
About Hammerspace
Hammerspace is the high-performance data platform built to simplify AI infrastructure at scale. It makes all your data immediately accessible — anywhere across on-premises and cloud environments — without copying or migrating data. By integrating with existing storage, networking, and applications, Hammerspace creates a unified, high-speed data backbone for AI, enabling organizations to accelerate every stage of the AI pipeline while eliminating data silos.
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