CXL in Cloud Practice: Practical Lessons for Incrementally Scaling Deployment
Abstract
This paper explores learnings from first-generation Compute Express Link (CXL) memory expansion to accelerate CXL’s journey to broad, robust use. While broad adoption will be a long journey similar to that of RDMA, we argue that the first step—CXL.mem expansion—is viable on today’s hardware. Through an end-to-end analysis, we revisit common showstoppers: we decompose memory access latency and show that CPU and DRAM internals, rather than the CXL protocol, dominate latency and variability, and we demonstrate how system slack absorbs link error rates above nominal specifications. Along the way, we distill practical guidance on device validation, monitoring, failure modes, security, and multi-tenant interference, and we outline a pragmatic adoption pathway: solidify robust expansion first, prototype micro-pooling next, and move to selective sharing as the ecosystem matures.
Fields of Study & Subjects
Software System Performance and Reliability
Cloud Computing and Resource Management
Advanced Software Engineering Methodologies
Publication details
- Journal / source
- IEEE Transactions on Computers
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 75
- Issue
- 4
- Pages
- 1234–1246
- Publication date
- 24 February 2026