AI inference stresses KV cache memory wall

The author argues that AI inference is expanding the memory wall from a simple bandwidth constraint into a multidimensional system coordination problem involving capacity, latency, power, and data movement. As workloads grow with longer context windows and higher concurrency, the key-value cache creates a complex data-lifecycle challenge. Consequently, future AI infrastructure will require hardware-software co-design to efficiently coordinate memory hierarchies rather than relying solely on raw bandwidth or added capacity. Open article →