XCENA MX1 CXL Computational Memory Shares a KV Cache Across Inference Servers and Powers SK hynix CXL Hybri... - StorageReview.com

XCENA's MX1 uses CXL computational memory to share a KV cache across multiple inference servers, and it's also tied to an SK hynix CXL effort. KV cache growth is a major memory-capacity pressure point in LLM inference, and pooling it over CXL points to a model where capacity is shared across nodes rather than fully duplicated in each server's local memory. For buyers, this is a signal to watch rather than a reason to change plans today: HBM and DDR5 RDIMM still anchor inference node configurations, but CXL-attached tiers could change how you size per-server DRAM over time. If you're planning inference capacity now, check live DDR5 and HBM-adjacent inventory or send us an RFQ so your baseline configuration is covered while this tier matures.