Maximizing AI Storage Performance: Parallel File Systems & Efficient Data Movement
James Coomer, SVP of Products at DDN Storage, illuminates the critical juncture where data storage system performance becomes paramount in large AI models. With the exponential growth of CPUs for data ingestion and escalating memory footprints, the impact on the data path becomes increasingly significant. Discover how optimizing data movement intelligently and efficiently can lead to substantial gains in AI model performance.
⭕ Watch the full on-demand webinar: https://www.ddn.com/maximizing-roi-on...
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WHAT IS DDN?
We are pioneers in high performance data storage and management, dedicated to delivering innovative solutions that empower organizations across the globe. Our commitment to excellence, coupled with our cutting-edge technology, enables us to drive performance, scalability and reliability for our clients. Discover how our expertise and passion for data are transforming industries and shaping the future.
00:00 Introduction
0:15 Parallel File Systems: Performance Needs
0:23 Large AI Models: CPU and Memory Growth
0:39 Efficient Data Movement: Paths, Integration, Software