Marvell is set to launch storage and memory solutions for AI infrastructure, betting on CXL and optical interconnects to expand AI infrastructure.

Data infrastructure semiconductor vendor Marvell Technology announced that it will launch its memory and storage solutions for AI infrastructure from August 4 to 6. Marvell stated that as agentic AI inference scales up, memory capacity, bandwidth, and data connectivity are becoming as important as compute capability. Larger-scale models, longer context windows, and growing KV Cache demands are driving unprecedented demand for memory resources in AI systems. The company stated that by bringing data closer to compute units and reducing latency, its AI memory and storage technologies can help customers improve hardware utilization, increase Token processing efficiency, and achieve a better balance between performance, power consumption, and cost. As AI model scales continue to expand, traditional "compute-chip-first" architectures are gradually shifting towards "co-optimization of compute, memory, and interconnect." New infrastructure including CXL, high-speed storage, and optical interconnects is expected to become an important technical direction for the next phase of AI data center expansion.