AI hardware scalability 2

https://mike-wiki.win/index.php/Why_AMD_Cloud_Computing_Is_Gaining_Ground_in_Data_Centers_and_AI_Workloads

AI hardware scalability refers to how well AI systems can grow and adapt to handle increasing workloads by adding more processing power efficiently. As models get larger and data demands rise scalability ensures performance improves without costly bottlenecks. It depends on chip design interconnect speeds memory bandwidth and how well hardware integrates with software frameworks making it a key factor in deploying advanced AI across industries.