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Hammerspace to Showcase Latest Software Release, New AI Data Platform Solution and Latest Performance Achievements at SC25

Hammerspace to Showcase Latest Software Release, New AI Data Platform  Solution and Latest Performance Achievements at SC25

Hammerspace to demonstrate how its Data Platform unifies and accelerates data for HPC research and AI workflows.

Hammerspace, the high-performance data platform for AI Anywhere, announced it will showcase its latest capabilities at Supercomputing 2025 (SC25), taking place at the America’s Center Convention Complex in Saint Louis from November 17-20. At its booth #3523, Hammerspace will demonstrate its AI solution, aligned with the NVIDIA AI Data Platform reference design, to streamline data access for agentic AI applications. The solution enables seamless data access and orchestration across hybrid environments, ensuring that AI workloads always have instant access to the right data, without manual intervention or complex integration.

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Through automated data objectives and tight integration with AI agents, Hammerspace’s platform intelligently tags, tiers and places data where it’s needed most, optimizing for both performance and cost. This automation ensures that AI models can train and infer faster, with data continuously in motion to meet the needs of high-performance computing (HPC) environments.

Hammerspace will also highlight its Tier 0 solution, which transforms the local NVMe storage within GPU clusters into a shared, high-performance storage tier. This capability delivers the ultra-low latency and high throughput demanded by AI training, checkpointing, inference and agentic AI workloads, all while maximizing existing GPU investments.

Floyd Christofferson, Vice President of Product Marketing at Hammerspace, will present a session titled “Open Flash Platform: An Initiative for Open, Highly Efficient, Exascale AI Storage” on Thursday, November 20. The session will explain the vision and engineering that make the Open Flash Platform (OFP) possible, demonstrating how open, standards-based architectures can simplify and reduce the costs of high-capacity storage.

“HPC and AI organizations across research, government and enterprise all face the same challenge: how to turn fragmented, distributed data into a unified foundation for both HPC research and AI,” said David Flynn, CEO and Co-founder of Hammerspace. “Hammerspace eliminates the disconnect between data silos and compute, giving organizations the power to innovate faster, anywhere their data resides.”

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