AI hardware leadership

https://ace-wiki.win/index.php/When_Raw_Compute_Power_Isn%27t_Enough,_You_Need_the_Architecture_Right

Leading in AI hardware means pushing the limits of chip design to handle massive models and real-time processing, where companies like NVIDIA and emerging players build specialized accelerators that drastically cut training time and power use. It's not just about raw speed it's about efficiency, scalability, and tight integration with AI frameworks to give researchers and enterprises a real edge.