Hammerspace showcases latest software releases, new AI data platform solutions, and latest performance achievements at SC25

Machine Learning


Hammerspace showcases latest software releases, new AI data platform solutions, and latest performance achievements at SC25

Hammerspace will demonstrate how the data platform integrates and accelerates data for HPC research and AI workflows.

hammer spaceAI Anywhere’s high-performance data platform, announced that it will be showcasing its latest capabilities at Supercomputing 2025 (SC25), which will be held from November 17th to 20th at the America’s Center convention complex in St. Louis. At booth #3523, Hammerspace will demonstrate AI solutions based on the NVIDIA AI Data Platform reference design to streamline data access for agent AI applications. The solution enables seamless data access and orchestration across hybrid environments, ensuring AI workloads always have instant access to the right data without the need for manual intervention or complex integrations.

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Through automated data targeting and deep integration with AI agents, Hammerspace’s platform intelligently tags, tiers, and places data where it’s needed most, optimizing both performance and cost. This automation allows AI models to be trained and inferred faster while data continues to move to meet the needs of high performance computing (HPC) environments.

Hammerspace will also highlight Tier 0 solutions that transform local NVMe storage within GPU clusters into a shared, high-performance storage tier. This feature maximizes your existing GPU investments while delivering the ultra-low latency and high throughput required for AI training, checkpointing, inference, and agent AI workloads.

Floyd Christofferson, VP of Product Marketing at Hammerspace, will lead a session titled “Open Flash Platform: An Initiative for Open, Highly Efficient, Exascale AI Storage” on Thursday, November 20th. This session describes the vision and engineering that enables the Open Flash Platform (OFP) and shows how open, standards-based architecture can simplify and reduce the cost of mass storage.

David Flynn, CEO and co-founder of Hammerspace, said: “HPC and AI organizations across research, government, and enterprise all face the same challenge: how to transform fragmented and distributed data into a unified foundation for both HPC research and AI.” “Hammerspace bridges the disconnect between data silos and compute, empowering organizations to innovate faster no matter where their data resides.”

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