ecoCompute 2025 was a blast! We have released the re-cap video to give you some impressions from the conference for everyone who could not attend.

For everyone else: Thank you all for being part of this wonderful iteration of ecoCompute ❤️

You can find the slides on the conference website schedule

The final program for ecoCompute 2025, the biggest green tech conference on sustainability in hardware and software, is now online.

Tickets are available until 12.11.2025. Secure yours today to attend inspiring talks, hands-on workshops, and networking sessions with top speakers, driving digital sustainability forward.

For ecoCompute 2025 we are bringing a strong partner on board: Bits & Bäume.

The german digital sustainability comprised of tech people (Bits) and classical sustainability / ecology folks (Bäume) is running it’s own track (The Community Track) and a welcoming connect space.

We are proud to be part of the Sustainable AI Futures project, a research project led by Bath Spa University, supported by the AHRC BRAID programme. The project explores the intersection of AI and environmental sustainability, including the social and political impacts of AI environmental governance tools.

We are excited to announce that we are part of the CASO project, which is funded by the German Federal Environmental Foundation (DBU).

The CASO project aims to make software development more energy and CO₂ efficient. It integrates technologies directly into the development process to give developers transparency about their software’s energy consumption and CO₂ emissions. By combining measurements, data analysis, and AI-supported recommendations, developers can make informed decisions to create more sustainable software. The project intends to highlight optimization possibilities for configuration, algorithms, and operating system settings.

Our Green Metrics Tool was awarded the Blue Angel for software at a ceremony at the Federal Ministry for the Environment - making us the first open source energy and CO2 measurement tool to be awarded the eco-label.

Green Coding Solutions was recently featured on a YouTube interview with host Chris Adams, where CTO Didi Hoffmann discussed integrating energy awareness into operating systems and prioritizing sustainability in software development.

The conversation highlighted Didi’s journey from Linux kernel programming to climate-focused technology, exploring how developers and organizations can make sustainability a first-class concern in their software practices.

Award of the Blue Angel for Green Metrics Tool and Nextcloud

Storage-Insider.de reports on the awarding of the Blue Angel and quotes our statements: “If we want sustainable digital infrastructures, we have to look at the software. Nextcloud shows that efficient and transparent cloud applications are possible”

In the Tagesspiegel background feature, our CEO Arne Tarara talks about the CO2 and energy costs of AI models and how to deal with them. how these are dealt with. Transparency is key to managing the risks properly.

In the Süddeutsche Zeitung dossier entitled “Deep Dive: Initiative promotes focus on green coding” we are interviewed on our ambitons and goals with the Eco Compute 2024.

“Ecocompute: The devil is in the details”

Datacenter-Insider.de is giving a detailed Re-Cap on our Eco-Compute conference in 2024. Worth a read

We were interviewed at Grüne-Startups.de about the content and concept of the Eco-Compute conference. Why is the approach with digital sustainability in hardware and software so unique and what are our goals for April.

The increasing energy consumption of software and hardware systems has become a significant concern due to its environmental impact and operational costs. While operating systems like Windows and macOS have proprietary, undocumented energy analytics functionality, this feature is still lacking in Linux. In this paper we introduce PowerLetrics, an open-source framework designed to monitor and analyze power consumption metrics on a process level on Linux.

This talk explores best practices and challenges in measuring software energy consumption, highlighting limitations of tools like Intel RAPL and the Gude Power Meter, and stressing the importance of consistent test conditions, CPU settings, and automated validation. It provides practical advice on specialized operating systems, sampling intervals, and network traffic, aiming to improve green coding practices and reduce software’s environmental impact.

The environmental impact of software is gaining increasing attention as the demand for computational resources continues to rise. In order to optimize software resource consumption and reduce carbon emissions, measuring and evaluating software is a first essential step. In this paper we discuss what metrics are important for fact base decision making. We introduce the Green Metrics Tool (GMT), a novel framework for accurately measuring the resource consumption of software. The tool provides a containerized, con- trolled, and reproducible life cycle-based approach, assessing the resource use of software during key phases. Finally, we discuss GMT features like visualization, comparability and rule- and LLM-based optimisations highlighting its potential to guide developers and researchers in reducing the environmental impact of their software.

Conference publication at HotCarbon 2024 - We present a paper to reduce the energy consumption of LLM inference by using specialized open source models selected by a classifier beforehand.

Veröffentlichung in Future Generation Computer Systems - Das Green Software Measurement Model integriert Ergebnisse von 12 Gruppen von Forschern und Praktikern. In unserem Teil beschreiben wir, wie professionelle Energie- und CO2-messungen mit modernen container-nativen Open-Source-Werkzeugen durchgeführt werden können.

Publication in the GI conference proceedings of EnviroInfo 2023 - Software Life Cycle Assessment (SLCA) is gaining attention for its environmental impacts in production, deployment, usage, and disposal. Unlike LCA for physical products, SLCA is still evolving in software.