AI hardware scalability 4

https://aged-wiki.win/index.php/How_Practical_Engineering_Keeps_Edge_AI_Deployment_Real

AI hardware scalability is about how well systems can grow to handle increasing workloads without losing performance or efficiency. As models get larger and data volumes explode, the ability to scale—from individual chips to full data centers—becomes critical. This involves everything from designing processors that work well in parallel to managing power and heat across thousands of units. Getting scalability right means faster training times, responsive inference, and ultimately making cutting…