Machine Learning Reduces Google Data Center Cooling Bill by 40%

MOUNTAIN VIEW, Calif. — Google announced that it has applied its DeepMind machine learning algorithms to its own data centers to reduce the amount of energy used for cooling by up to 40 percent. One of the primary sources of energy use in the data center environment is cooling. However, Google said dynamic environments like data centers make it difficult to operate optimally for several reasons: 1. The equipment, how it is operated, and the environment interact with each other in complex, nonlinear ways. Traditional formula-based engineering and human intuition often do not capture these interactions. 2. The system cannot adapt quickly to internal or external changes (like the weather). This is because we cannot come up with rules for every operating scenario. 3. Each data center has a unique…


Link to Full Article: Machine Learning Reduces Google Data Center Cooling Bill by 40%