Hammerspace Presents at Cloud Field Day 25

Dan Reger and Chad Smith presented for Hammerspace at Cloud Field Day 25

This Presentation date is March 11, 2026 at 9:00 - 10:00.

Hammerspace is a data storage platform for unstructured data that helps customers unify all their data storage and accelerate their workloads, including AI, to deliver results faster – both in the cloud and in their own data centers. This session will introduce Hammerspace in the cloud and provide technical background on how Tier 0 leverages compute-local NVMe storage in the cloud to maximize performance, how Assimilation avoids wholesale data migration, and Data Orchestration helps reduce cloud storage costs.

Accelerate cloud and AI workloads with the Hammerspace Data Platform

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Hammerspace is a data platform for unstructured data that helps customers unify all their data storage and accelerate their workloads, including AI, to deliver results faster – both in the cloud and in their own data centers. This session will introduce Hammerspace and how it helps cloud customers maximize performance, avoid wholesale data migration, and reduce cloud storage costs. Dan Reger, Senior Product Marketing Director at Hammerspace, focused on accelerating cloud and AI workloads using the platform, particularly highlighting its benefits for cloud and hybrid environments. He noted that migrating workloads to the cloud is often complex, especially when data is distributed across multiple regions or subject to regulatory requirements, and that traditional cloud storage isn’t always optimized for modern high-performance demands.

Hammerspace tackles these challenges by providing a unified global file system namespace that spans across on-premises storage, various cloud storage services (block, file, object), and even different cloud regions. This agentless solution allows customers to simplify and speed cloud migrations, accessing data everywhere without wholesale data movement. The platform dynamically orchestrates data, moving only the necessary subsets to the fastest available storage tiers (e.g., local NVMe on bare-metal GPU servers) to maximize workload performance and compute utilization. This objective-based policy engine ensures data is always where it’s needed, preventing bottlenecks and eliminating unnecessary data transfers.

The platform is designed to accelerate AI, HPC, and workloads involving large volumes of unstructured data across diverse environments. Hammerspace’s capabilities, including parallel NFS and intelligent data orchestration, ensure optimal data performance and efficient use of cloud compute resources. This approach also addresses concerns such as rising cloud storage costs and data sovereignty, with Hammerspace approved for deployment in OCI’s dedicated regions. Real-world examples, such as Meta and other unnamed “household name” customers, illustrate successful large-scale deployments involving thousands of servers, tens of thousands of GPUs, and petabytes of data, demonstrating Hammerspace’s ability to seamlessly integrate and enhance existing IT processes without requiring significant changes.

Personnel: Dan Reger

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Hammerspace Presents at Cloud Field Day 25

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