Marvell to Launch AI Infrastructure Memory and Storage Solutions

Data infrastructure semiconductor company Marvell Technology has announced that it will unveil its memory and storage solutions for AI infrastructure from August 4 to 6. Marvell states that as agentic AI inference scales up, memory capacity, bandwidth, and data connectivity are becoming as critical as computational power. Larger models, longer context windows, and growing KV Cache demands are driving unprecedented requirements for memory resources in AI systems. The company says its AI memory and storage technologies help customers improve hardware utilization, enhance token processing efficiency, and achieve better trade-offs among performance, power consumption, and cost by bringing data closer to compute units and reducing latency. As AI models continue to grow in scale, the traditional “compute-first” architecture is gradually shifting toward a “co-optimized compute, memory, and interconnect” approach. Emerging infrastructure technologies—including CXL, high-speed storage, and optical interconnects—are poised to become key enablers for the next phase of AI data center expansion.