针对AI工作负载优化的存储架构

1 | ©2024 SNIA. All Rights Reserved. Storage Architecture Optimized for AI WorkloadsPresented by Paul McLeodProduct Director, StorageSupermicro2 | ©2024 SNIA. All Rights Reserved. Storage Architecture Optimized for AI Workloads•About Supermicro•Storage challenges with AIOps and MLOps•Moving beyond legacy storage •Solution approach •Hardware innovation with EDSFF•Summary3 | ©2024 SNIA. All Rights Reserved. ABOUT SUPERMICRORevenue$14B+ (FY2024 guidance)$7.1B (FY2023)$5.2B (FY2022)Worldwide Presence6M+ Sq ft. Facilities Worldwide1. Silicon Valley (HQ), 2. Taiwan, 3. The Netherlands, 4. Malaysia and othersProduction$18B/yr Production Capacity (CY23)Top 5 Largest Server System Provider Worldwide (IDC & Gartner 2022), ~1.3M units annuallyHuman Resource in4 Campuses6000+ headcount Worldwide, ~50% Technical / R&DKey Growth Matrix#1 in Generative AI and LLM Platforms500%+ YoY Growth in Accel. Computing4 | ©2024 SNIA. All Rights Reserved. AI/ML Implementation5 | ©2024 SNIA. All Rights Reserved.