Learn how CXL shared memory technology revolutionizes AI cluster performance in this technical presentation from MemVerge's Charles Fan. Explore the challenges faced by super-scalable frameworks like Ray, which OpenAI used to train ChatGPT, including network bandwidth contention, data redundancy, and memory usage imbalances. Discover how Gismo (Global IO-Free Memory Object) software leverages CXL technology to overcome inter-node data traffic challenges through shared memory connections, single shared object store implementation, and data skew elimination. Examine impressive performance results showing 675% faster remote data access and 280% faster shuffles compared to traditional approaches, demonstrating a significant breakthrough in AI Large Language Model performance optimization.
CXL Shared Memory Technology for Accelerating AI Cluster Performance
Open Compute Project via YouTube
Overview
Syllabus
CXL Shared Memory Smashes Through the IO Wall for AI Clusters
Taught by
Open Compute Project
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