News, insights, and technical deep-dives on green software from the GSF community.
Should sustainability be a first-class consideration for AI systems? Yes, because AI systems have environmental and societal implications. What can you do to make green AI a reality?
Find out the mission of the Green Software Foundation, how we operate and our priority areas. Learn how you can get involved in our working groups on Standards, Innovation, Community and Trademarks.
Ability to measure the energy cost of your application helps you to work on making software more energy efficient. Measuring shows you whether you are improving or regressing. So, what is the best way to measure the energy consumption of your backend service?
The Software Carbon Intensity (SCI) standard provides an actionable approach to designers, developers and deployers of software systems to measure the carbon impacts of their systems.
AI systems can have significant environmental impact. We are risking severe environmental and social harm if we fail to make greener AI systems.
Find out how to measure energy cost for applications running client-side on a computer, such as web-applications and native applications to make software in accordance with Principles of Sustainable Software Engineering.
NTT DATA on green software and the challenge of striking a balance between introducing technologies that enrich society and reducing CO2 emissions and the environmental impact.
Follow the journey by the media player VLC to adopt Sustainable Software Engineering practices and reduce their carbon emissions.
Accenture on green software and how companies need to make software an integral part of their sustainability efforts by taking its carbon footprint into account in the way it is designed, developed, and deployed.
Kubernetes is built so it can make carbon-aware decisions balanced against the technical requirements of the system.
Globant shares its views on green software and how poorly written and badly performing code can push us to misuse resources.
Can applying principles of Chaos Engineering and using carbon monkeys to simulate real-life energy events help us achieve our sustainable software engineering goals?