This session will share our practical experience in AI data center architecture planning, covering the critical interplay of computing, storage, and management. We'll delve into our comprehensive approach to designing scalable and efficient AI infrastructure.
A significant portion of our discussion will be dedicated to our innovative storage architecture, which addresses diverse AI workload demands through a dual-part strategy. First, we will present our high-performance storage solution, leveraging BeeGFS and GRAID's cutting-edge technologies with NVMe SSDs to meet the demands of intense AI computation. Second, we will explore our approach to tenant object storage, specifically utilizing GRAID's SupremeRAID alongside NVMe SSDs to provide robust and scalable data management for various user requirements.
