XCENA, providing memory-centric computing solutions for AI infrastructure, today introduced MX1, its production memory lineup built to break through the capacity, utilization and data-movement now limiting AI inference at scale. The company is showcasing MX1 at FMS 2026: The Future of Memory and Storage, being held Aug. 4-6 at the Santa Clara Convention Center.
As generative AI drives larger models, longer context windows and rapidly growing KV cache footprints, memory is emerging as the defining constraint on AI infrastructure. High-bandwidth memory remains costly and capacity-limited, and scaling out with additional servers creates stranded DRAM and rising total cost of ownership. XCENA developed the CXL-based MX1 lineup to give operators a different path - scaling memory as efficiently as they scale compute. Together with Intel Xeon 6 platforms, MX1 solutions showcase how CXL-based memory can help address memory-intensive AI workloads.