AI Is Pushing Storage and Data Management Harder Than Ever

Former Tech Field Day delegate Chin-Fah Heoh delves into the implications of AI on storage and data management, drawing from Gina Rosenthal’s recent article about Solidigm at AI Field Day. Chin-Fah discusses the escalating demands placed on storage systems by AI workloads, emphasizing the critical need for high-performance solutions. The stages of AI data processing (ingestion, preparation, training, checkpointing, and inferencing) require high read IOPS, ultra-high write throughput, and low latency. Chin-Fah also explores the role of data governance in ensuring the integrity and trustworthiness of data for AI applications. Read more on his blog!