Memory, Not Compute, Is AI's Real Bottleneck, Says $135M-Funded Startup
South Korean chip startup XCENA raised $135 million at a $570 million valuation, positioning itself around the thesis that memory bandwidth, not raw compute power, is the primary constraint limiting AI model performance. The funding reflects growing industry recognition that current GPU architectures may be optimized for the wrong bottleneck. XCENA's bet challenges the prevailing focus on compute-heavy solutions from established players like Nvidia.

