Articles
News, insights, and technical deep-dives on green software from the GSF community.
Introducing Sustainability Interoperability Layer for Operations (SILO)
We've launched SILO, an initiative to connect cooling, power, and compute data across vendors for more energy-efficient operations, building on GSF’s existing standards work.
Shifting AI’s Trajectory—Meet Boris Gamazaychikov of Sustainable AI Group
Join us in welcoming Sustainable AI Group to the GSF. Learn how joining the Foundation aligns with their goal of helping organizations push the tech sector towards sustainability.
Leadership Update: Meet Ryan Sholin, Co-Chair of the Policy Working Group
We’re thrilled to welcome Ryan Sholin as Co-Chair of the GSF Policy Working Group. Learn about his data-first approach to making policy practical for engineers and how he’s already applying it.
Green Software Foundation Launches Green Software & AI Academy, Turning Open Standards into Role-Based Skills
The Green Software & AI Academy pilot is now open to GSF members, offering fourteen courses and vendor-neutral certification built on GSF's open standards to help teams measure and reduce the environmental impact of software and AI.
Welcoming the Software Water Handbook as a GSF Project
The Handbook brings together scattered data needed to measure software's water footprint, helping practitioners and organizations apply the Software Water Intensity (SWI) specification.
What an AI Data Center Takes: Eight Questions to Ask Before We Build
Sustainability decisions around AI data centers need to happen before infrastructure is built. In the latest ED Notes, Navveen Balani proposes a framework for evaluating water, energy, land, and accountability while connecting software demand to physical infrastructure.
Engineering Secure and Sustainable Software—Meet Michael Koppmann of SBA Research
GSF's new member shares how security, resilience, and sustainability can work together in software engineering and how SBA Research is applying these principles across the software lifecycle.
Beyond Watts: What Should AI Efficiency Really Measure?
In our ED series, Navveen Balani argues AI efficiency should be measured by the value it delivers. He examines how GSF specifications such as SCI, SEI, and SWI use functional units to connect compute to the outcomes we care about.
SCI for AI Bootcamp: How Four Organizations Are Measuring Their AI Emissions
This summer, Amadeus, AVEVA, Schneider Electric, and Siemens have joined GSF's first cohort to apply the SCI for AI methodology to their AI systems. We share what we've learned so far and what comes next.
Green Software Foundation Announces Intent to Launch Green Software & AI Academy to Build the Skills Needed for Sustainable AI
The GSF invites organizations to help build vendor-neutral training and certification for sustainable AI, shaping the skills the industry needs.
One Ledger: When Sustainability and Business Value Become the Same Conversation
Drawing on his CleanEnviro Summit Catalyst 2026 keynote, Navveen Balani argues that, increasingly, reducing AI costs can also mean reducing its environmental impact.
Introducing GSF Labs
GSF Labs gives the green software community a shared space to prototype, test, and contribute to green software solutions for new technologies across carbon, energy, water, and waste impact areas.
The Economics of Green and Efficient Agentic AI
Navveen Balani, Executive Director of the GSF, explores how the same choices that control costs can also reduce AI emissions and improve transparency, turning green AI into a shared discipline rather than a separate sustainability agenda.
Turning Digital Emissions into Actionable Metrics—Meet Mei-Lian Wei of Taiwan Institute of Economic Research (TIER)
New GSF member shares how they're working to bring frontline green software practices to Taiwan's digital industries, from SCI pilots to carbon calculation tools.
Measuring Software's Water Footprint: A Conversation with SWI Project Chair Yi Ding
In our Q&A, Yi Ding shares how the SWI project is building a practical standard for measuring software's water footprint to support more informed engineering and business decisions.