Boosting AI Performance With CXL


As AI applications rapidly advance, AI models are being tasked with processing massive amounts of data containing billions – or even trillions – of parameters. Each large workload involves numerous iterations for data comparison, predictive calculations, and parameter results updating during training. Hence, there is a constant demand for flexible memory expansion and memory sharing among d... » read more

Improving Memory Efficiency And Performance


This is the second of two parts on CXL vs. OMI. Part one can be found here. Memory pooling and sharing are gaining traction as ways of optimizing existing resources to handle increasing data volumes. Using these approaches, memory can be accessed by a number of different machines or processing elements on an as-needed basis. Two protocols, CXL and OMI, are being leveraged to simplify thes... » read more