One of the largest Tech Giant company Google, has built an AI to Keep the servers in a data center cool which also requires a massive amount of energy, especially when it comes to the large facilities. Now the company is trying to harness artificial intelligence to cut down the cost of electricity bill.
Google in a press release today revealed that it has built a specialized AI which is going to automatically manage the sophisticated cooling equipment in its data centers. According to the company officials, the system’s ability to fine-tune cooling automatically has already led to a dramatic increase in the range of power efficiency.
The project builds on work that Google’s DeepMind AI division which was first published in the year 2016. The group had developed a system that could collect even an operational data about cooling equipment and offer engineers a high range of recommendations on how to optimize the use of power. Google’s new AI can take over the task entirely, but it operates under human supervision for some of the safety and security reasons.
“Optimal actions computed by the AI are vetted against an internal list of safety constraints defined by our data center operators,” Google wrote. “Once the instructions are sent from the cloud to the physical data center, the local control system verifies the instructions against its own set of constraints. This redundant check ensures that the system remains within local constraints and operators retain full control of the operating boundaries.”
According to Google officials, there is a total of eight different mechanisms which is working in place to ensure the AI works as it is used to be. In case something goes wrong, the system simply falls back to the predefined automation rules which are used to manage cooling systems.
“We’re excited that our direct AI control system is operating safely and dependably, while consistently delivering energy savings,” Google wrote. “However, data centers are just the beginning. Fo a long term consideration, we think there’s potential to apply this technology in other industrial settings, and help tackle climate change on an even grander scale.”
