Navigating Enterprise AI: How Hammerspace Solves GPU Gravity

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The race to implement AI is creating a massive challenge for enterprises: how to connect their existing data to AI models without rebuilding their entire infrastructure. Hammerspace has emerged with a revolutionary solution that's changing how organizations think about data mobility.
Molly Presley, from Hammerspace, reveals how decades of enterprise data storage strategies have created silos that now block AI progress. While companies like Meta and Google built purpose-designed AI infrastructure from scratch, most enterprises must work with what they already have – petabytes of data spread across various storage systems that were never designed for AI workloads.
Traditional data management followed the principle that "data has gravity" – meaning you bring compute to where data lives. But AI flips this model entirely. With GPU clusters often located in the cloud or specialized facilities, enterprises need their data to move to where processing happens. Hammerspace's elegant solution creates a unified data plane that synchronizes metadata across all storage systems, making data discoverable and accessible without wasteful copying or migration.
What makes their approach truly groundbreaking is how they've integrated their technology directly into the Linux kernel. Any system running Linux can participate in their data ecosystem without proprietary clients or hardware. This allows for intelligent, file-granular data movement where only the specific files an AI model needs are transferred, rather than entire datasets.
Cloud providers with massive GPU investments have embraced this approach despite their usual preference for vendor lock-in. They recognize that "having GPUs with no data is not helpful, and having data with no GPUs is also not helpful." With $100 million in recent funding and a new Open Flash Platform Initiative addressing AI's looming power efficiency challenges, Hammerspace is positioned at the center of enterprise AI infrastructure evolution.
Ready to make your enterprise data AI-ready without duplicating petabytes or rebuilding your infrastructure? Discover how Hammerspace might be the missing piece in your AI strategy.

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Chapters

1. Introduction to Hammerspace (00:00:00)

2. Enterprise AI Data Challenges (00:01:56)

3. GPU Gravity and Data Movement (00:05:39)

4. Hammerspace's Unique Data Plane Approach (00:09:10)

5. Linux-Based Data Services (00:12:07)

6. Growth, Customers, and Future Developments (00:15:40)

7. Closing and Open Flash Platform (00:19:13)