Cloud sustainability
Reducing environmental impact with the cleanest cloud in the industry.
Our most ambitious decade yet
Google is carbon neutral today, but aiming higher: our goal is to run on carbon-free energy, 24/7, at all of our data centers by 2030. Plus, we’re sharing technology, methods, and funding to enable organizations around the world to transition to more carbon-free and sustainable systems.
90%
waste diverted from landfills
100%
renewable energy for all cloud regions
2x
more efficient than typical enterprise data centers
1.10
Power Usage Effectiveness (PUE)
Know your energy score
With the launch of carbon-free energy scores for Google Cloud regions, companies everywhere can now play their part in ensuring a healthier planet. See how your business can choose locations that are optimized for lower carbon emissions.
Smarter, more efficient data centers
Google data centers are twice as energy efficient as a typical data center, and we now deliver seven times more computing power for the same amount of electrical power than we did six years ago—but we know we can do more. We’re now sharing performance data to move the entire industry forward, and help businesses get greener.
Solving for a healthier supply chain
Our circular principles affect how we design products, buildings, and infrastructure, helping us make smarter use of the Earth’s resources. We design out waste and pollution, keep materials in use, and promote more sustainable supply chains.
Restoring our planet, together
Our partners are already using Google AI and ML to drive important climate and conservation efforts, including restoring our oceans, forests, and wildlife.
Technology that helps you do more for the planet
We meet the challenges posed by climate change and the need for resource efficiency by working to empower everyone—businesses, governments, nonprofit organizations, communities, and individuals—to use Google technology to create a more sustainable world.
More Google Cloud sustainability resources
Run applications with zero net emissions
Lessen energy-intensive machine learning
Increase productivity, decrease energy use and carbon emissions