This Data Unchained podcast episode interviews Hammerspace CEO David Flynn about their new Tier 0 capability for global data platforms. The discussion centers on solving the problem of underutilized NVMe storage in GPU servers used for AI and HPC, explaining how Hammerspace's technology aggregates this local storage into a shared, high-performance pool without requiring additional software or hardware. Flynn details a customer success story demonstrating rapid deployment and significant performance gains. A key takeaway is Hammerspace's "local IO patch set," which allows near-local NVMe access speeds even within a shared filesystem, minimizing latency and maximizing GPU utilization. The interview concludes with a call to action to visit Hammerspace's booth at the upcoming Supercomputing conference.
Part 1: Introduction and Problem Definition
Part 2: Hammerspace Solution and Optimization
Part 3: Differentiation and Reliability
Part 4: Deployment and Conclusion
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