The evolution of AI use cases is driving new requirements for storage systems and devices and the diversification of these use cases place different competing demands on storage. Endurance use cases (AI Checkpointing), Latency use cases (model off-load), high IOPS (GNN training), and high Bandwidth use cases are frequently looking to SLC media to solve their challenges. However, the change to SLC does not solve all problems simultaneously as there are necessary trade-offs to optimize for a given use case
In this session we discuss the unique requirements for use cases in each of these domains and how NAND can be tuned to satisfy each use case's requirements.
Attendees will leave this session with an understanding of what devices and media are best suited for their use cases and what trade-offs are available to optimize their TCO.