All Utilizing Tech

How CXL Can Optimize Infrastructure for Machine Learning with Gerry Fan of Xconn Technology | Utilizing Tech 4×5

Today’s AI and ML systems use proprietary interconnects, which limits the choices available to customers. CXL technology promises to enable greater interoperability, and this is the focus for Xconn Technology. In this episode of Utilizing CXL, Gerry Fan of Xconn joins Stephen Foskett and Craig Rodgers to discuss the ways that CXL can improve machine learning processing. The CXL Consortium is working with nearly every company in the IT industry to bring this promise to life, but we need hardware and software to enable memory pooling, device sharing, and more. The initial CXL products enable right-sizing memory, regardless of the specific architectural details of the CPU chosen. The next addition will be disaggregated and pooled memory using CXL switches, and this is coming to market in the next year or so. This will enable massive pools of memory on-demand for intensive applications. Xconn promises to make memory pooling available to CXL 1.1 hosts as well, and is working on a fabric manager to enable this.

For your weekly dose of Utilizing CXL, subscribe to our podcast on your favorite podcast app through Anchor FM and check out more Utilizing Tech podcast episodes on the dedicated website,

About the author

Stephen Foskett

Stephen Foskett is an active participant in the world of enterprise information technology, currently focusing on enterprise storage, server virtualization, networking, and cloud computing. He organizes the popular Tech Field Day event series for Gestalt IT and runs Foskett Services. A long-time voice in the storage industry, Stephen has authored numerous articles for industry publications, and is a popular presenter at industry events. He can be found online at,, and on Twitter at @SFoskett.

Leave a Comment