David Flynn | Founder & CEO
Hammerspace
Hammerspace co-founder and Chief Executive Officer David Flynn is a recognized leader in IT innovation who has been architecting disruptive computing platforms since his early work in supercomputing and Linux systems. David pioneered the use of flash for enterprise application acceleration as founder and former CEO of Fusion-io, which was acquired by SanDisk in 2014. He served as Fusion-io President and CEO until May 2013 and board member until July 2013. As Fusion-io CEO, David was responsible for the company’s strategic direction, oversaw all operations and was the visionary behind the company’s innovative technology and market strategy. Preceding his position as CEO, David was Fusion-io technical found and CTO, where he created the company’s foundational research and development efforts, as well as the development of short- and long-term technological roadmaps.
Appearances:
Future of Memory and Storage - Day 1 @ 09:45
Panel Discussion – The Open Flash Platform (OFP): Building the Flash Architecture AI Demands
AI doesn’t just need more storage—it needs the right medium. Flash brings the essentials: density, speed, and performance per watt, with lower heat penalties than spinning media at comparable throughput. The question is whether today’s architectures let flash behave like the AI-optimized resource it actually is.
The Open Flash Platform (OFP) initiative is unlocking those inherent flash advantages at rack scale—reducing unnecessary data-path hops, minimizing CPU and DRAM overhead, and improving determinism for latency-sensitive AI pipelines. In this panel, ecosystem leaders will separate what’s real from what’s hype: where OFP delivers immediate wins (throughput-per-watt, density, and predictable performance) and which workloads and deployment patterns will adopt first—from AI training and inference to high-throughput analytics and content pipelines.
Panel Topics:* Eliminating overhead: fewer hops, less CPU/DRAM tax, more predictable latency* AI pressure test: feeding GPUs with consistent throughput and QoS isolation* Deployment models: hyperscale, enterprise, and hybrid designs that simplify operations* What must standardize next: observability
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