inference is not just a compute problem; it's increasingly a memory scaling problem.
This thesis directly challenges the GPU-centric narrative dominating AI infrastructure investment. As models grow larger and context windows expand, KV cache memory demands are exploding — potentially faster than GPU compute improvements. The question is whether XCENA's CXL-based approach can reach the cost-performance threshold hyperscalers require.