The Energy Crunch in AI Data Centers - Solutions with QLC Storage Technology

Watch a technical presentation from AI Data Infrastructure Field Day 1 exploring critical energy consumption challenges in AI and data infrastructure. Learn how industry leaders like Meta and Microsoft Azure discovered that hard disk drives consume over 30% of data center operational energy, creating significant scaling obstacles for AI operations. Dive into the growing storage demands of AI applications, particularly for network-attached storage in large language models and video models requiring up to 32 petabytes per GPU rack. Explore how QLC (Quad-Level Cell) storage technology offers substantial advantages over traditional HDDs and TLC storage, potentially reducing storage power consumption by 80% and enabling 50% more DGX plus NAS racks in a 50-megawatt data center. Examine detailed comparisons of storage configurations, energy efficiency metrics, and practical solutions for modern data centers, including insights into Solidigm's high-density drives like the P-5520 and QLCP-P-5430 that address space and power consumption challenges.