Gary Grider | Senior Director, Computing Technologies
Los Alamos National Lab

Gary Grider is the Senior Director for Computing Technologies at Los Alamos National Laboratory. Gary helps shape the direction of technologies to be used at the laboratory for all HPC and AI endeavors. Until recently, Gary was the longtime Leader of the High Performance Computing (HPC) Division at Los Alamos National Laboratory. Los Alamos’ HPC Division operates one of the largest governmental supercomputing centers in the world focused on US National Security for the US/DOE National Nuclear Security Administration. Gary is responsible for managing the R&D portfolio for keeping the new technology pipeline full to provide solutions to problems in the Lab’s HPC/AI environment, through collaboration with university and industry partners. Gary has 30 granted patents in the data high performance data management area and has been working in HPC and HPC related storage since 1984.

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

Moderator: Javier Gonzalez, Principal Engineer, Open-Source Lead, SSDR R&D Center Lead, Samsung Electronics

David Flynn, Founder & CEO, Hammerspace