Artificial intelligence (AI) and machine learning (ML) can be invaluable tools to spur innovation, but they have different management requirements than typical enterprise IT applications that run at moderate CPU and memory utilization rates. Because AI and ML tend to run intense calculations at very high utilization rates, power and cooling costs can consume a higher proportion of the budget than an IT group might expect.
It’s not a new problem, but the impact is intensifying.
As more CPU-heavy applications such as data warehousing and business intelligence became prevalent, IT was often oblivious to the electric bill it was racking up – particularly since the bill usually goes to the ops department, not IT.
Source:: Network World – Data Center