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Submission: On October 29 via manual from IN — Scanned from US
Submission: On October 29 via manual from IN — Scanned from US
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THE CRITICAL ROLE OF STORAGE IN OPTIMIZING AI TRAINING WORKLOADS Oct 30 2024, 7:00am Duration: 60 mins PRESENTED BY Ugur Kaynar, Dell Technologies; Jayanthi Ramakalanjiyam, Celestica ABOUT THIS TALK This presentation examines the critical role of storage solutions in optimizing AI workloads, with a primary focus on storage-intensive AI training workloads. We will highlight how AI models interact with storage systems during training, focusing on data loading and checkpointing mechanisms. We will explore how AI frameworks like PyTorch utilize different storage connectors to access various storage solutions. Finally, the presentation will delve into the use of file-based storage and object storage in the context of AI training: Attendees will: - Gain a clear understanding of the critical role of storage in AI model training workloads - Understand how AI models interact with storage systems during training, focusing on data loading and checkpointing mechanisms - Learn how AI frameworks like PyTorch use different storage connectors to access various storage solutions. - Explore how file-based storage and object storage is used in AI training Share Post Share Link Copied! Related topics: AI Storage MORE FROM THIS CHANNEL AI: The Future of Business Upcoming talks (10) On-demand talks (46) Subscribers (22271) Each month, the AI: the Future of Business series explores the latest trends, technologies and best practices in the world of Enterprise AI and sheds light on Artificial Intelligence for the modern business. …