run AI at scale 4

https://bravo-wiki.win/index.php/Making_enterprise_AI_deployment_practical:_lessons_from_real_projects

To truly run AI at scale, you need more than just a few powerful servers; it's about orchestrating thousands of GPUs to train massive models while keeping costs predictable and operations smooth. It involves balancing compute, storage, and network latency, so models can serve billions of predictions daily without hiccups. From monitoring model drift to automating retraining pipelines, the challenge is making AI reliable and efficient as it grows across an entire organization.