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On Earth Day, Google reaches for 24/7 carbon neutrality

Google is shifting data center compute load to times when there's the most wind or solar power.

Corinne Reichert Senior Editor
Corinne Reichert (she/her) grew up in Sydney, Australia and moved to California in 2019. She holds degrees in law and communications, and currently writes news, analysis and features for CNET across the topics of electric vehicles, broadband networks, mobile devices, big tech, artificial intelligence, home technology and entertainment. In her spare time, she watches soccer games and F1 races, and goes to Disneyland as often as possible.
Expertise News, mobile, broadband, 5G, home tech, streaming services, entertainment, AI, policy, business, politics Credentials
  • I've been covering technology and mobile for 12 years, first as a telecommunications reporter and assistant editor at ZDNet in Australia, then as CNET's West Coast head of breaking news, and now in the Thought Leadership team.
Corinne Reichert
Google datacenter carbon neutral

Google wants its data centers to be 24/7 carbon neutral.

Google

Google is working to achieve 24/7 carbon-free energy at all of its data centers in a continued effort to address climate change concerns. Its new carbon-intelligent computing platform will help Google match up its compute-load with energy sources like wind and solar power, the tech giant said Wednesday.

To do this, it's moved the timing of nonurgent tasks like YouTube video processing, adding new words to Google translate and creating new Google Photo filter features to when wind and solar energy are most plentiful. The move doesn't affect more-essential features like Google Maps , Search and YouTube, which are used at all times.

"Each day, at every Google data center, our carbon-intelligent platform ... predicts how the average hourly carbon intensity of the local electrical grid will change over the course of a day," Ana Radovanovic, Google's Carbon-Intelligent Computing technical lead, wrote in a blog post. "A complementary Google internal forecast predicts the hourly power resources that a data center needs to carry out its compute tasks during the same period."

The carbon-intelligent computing platform then uses those predictions to "optimize hour-by-hour guidelines to align compute tasks with times of low-carbon electricity supply."

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