Explore a 52-minute conference talk from SNIA Storage Developer Conference 2024 that delves into optimizing hard disk drive interfaces for the emerging generative AI landscape. Learn how enterprise data growth, driven by AI adoption, necessitates fundamental changes in datacenter infrastructure components. Gain insights into AI storage infrastructure usage models, TCO-optimized storage tiers, and their specific requirements across capacity, workloads, and performance metrics. Discover key strategies focused on AI ecosystem's impact on mass storage HDD workloads, performance capabilities, capacity requirements, interface types, and advanced features that could revolutionize datacenter TCO optimization. Through expert presenter Mohamad EL-Batal from Seagate, master the current AI ecosystem strategy, understand major infrastructure components, analyze various AI usage models' impact on storage tiers, and explore upcoming AI workload optimizations specifically designed for HDD storage systems.
Optimizing HDD Interface for the Generative AI Era
Overview
Syllabus
SNIA SDC 2024 - Optimizing HDD Interface for the Generative AI Era
Taught by
SNIAVideo
Related Courses
-
Cloud Storage Efficiency at Scale - Mass Storage Architecture and Innovation
-
Storage in the Era of Large-scale AI Computing
-
Reinventing Data Storage for the Yottabyte Era
-
Optimizing Data Center TCO - An In-Depth Analysis and Sensitivity Study
-
Will AI Stay Dumb for the Lack of Memory and Storage? - Impact of Storage Technologies on AI Development
-
Storage for AI Fundamentals - Introduction to AI Workloads and Storage Requirements
