[Marvell Launches AI Infrastructure Memory Solution Portfolio, Targeting Agentic AI Inference Bottlenecks] DeepTechFlow News, August 4th, data infrastructure semiconductor giant Marvell Technology announced the launch of a new generation of memory solution portfolio for AI infrastructure. This portfolio includes server-grade AI storage, rack-level CXL memory expansion and pooling, as well as multi-cabinet optical interconnect shared memory, aiming to address the growing memory capacity and bandwidth bottlenecks in Agentic AI inference processes. Marvell stated that as AI model sizes expand, context windows lengthen, and KV Cache demands increase, the traditional tightly coupled compute-memory architecture is limiting AI inference efficiency. By adopting memory disaggregation, memory resources can scale more independently from compute resources, improving GPU utilization and reducing data movement latency.