run AI at scale

https://wiki-velo.win/index.php/Why_AI_in_Data_Centers_Is_Reshaping_How_We_Compute

Running AI at scale means moving past small experiments to handle massive data loads and real-time decisions across an entire organization. It involves powerful infrastructure, efficient model deployment, and careful monitoring to keep systems reliable. Companies need to balance cost, speed, and accuracy while managing complex pipelines that serve thousands of users simultaneously. It's less about flashy demos and more about robust engineering that makes AI actually useful in production.