Abstract
This session dives into the practical applications of CXL for AI/ML. We'll explore how CXL Memory Expansion, Pooling, and Sharing can boost performance by breaking traditional memory barriers. As memory demands skyrocket in the era of large language models, CXL emerges as a game-changing technology to overcome traditional memory constraints. Join us for a practical guide packed with insights showcasing CXL, where you will learn about:
- The State of the CXL Software Ecosphere
- Benchmarking CPU, Memory, and GPUs
- Memory Placement and Movement Strategies for application optimization
- The Importance of Memory in AI/ML Workloads
- Retrieval Augmented Generation (RAG) Pipelines
- And much, much more!
Don't miss this opportunity to gain a competitive edge in AI. Learn how to harness the full potential of CXL and take your AI/ML workloads to unprecedented levels of performance and efficiency.
