A curated collection of research, tools, and best practices for environmentally sustainable AI development and deployment.
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Updated
Aug 13, 2025
This topic gathers projects that exemplify or help to provide green computing. Green software is engineered to reduce energy consumption, which considers factors like algorithmic and language efficiency, networking, storage footprint, compute requirements, and so forth. Some projects follow great green software practices that should be highlighted; others help the rest of the world greenify their own code. The projects collected here are a mix of both.
A curated collection of research, tools, and best practices for environmentally sustainable AI development and deployment.
Carbon-aware scheduling and traffic management Kubernetes Operator. It dynamically delays and redirects requests based on real-time energy mix data, optimizing workloads for greener energy consumption.
PowerAPI is a Python framework for building software-defined power meters.
Measure energy and carbon consumption of software
Eco CI Energy estimation for Github Actions Runner VMs
SmartWatts is a formula for a self-adaptive software-defined power meter based on the PowerAPI framework.
A Prometheus exporter and a REST API server to export metrics of compute units of resource managers like SLURM, Openstack, k8s, _etc_
A curation of resources, projects, and communities related to permacomputing.
a Kubernetes operator that aggregates energy and CO2 emission data for tagged resources
Repository containing a collection of exercises from various subjects in my Master's program.
A Python tool to measure the energy consumption of software
☁️ Cloud GPU platform for AI/ML workloads. Instant access to H100, A100, and RTX GPUs for training and deploying AI models.
A central place to collect and organize studies on digital sustainability.
Carbon Aware cloud scheduler -- enabling a sustainable cloud
Green Software Use on HPC
Jupyter extension to display CPU and GPU power usage and equivalent CO2 emissions
Hackathon winner at AI Engineer World Fair Hackathon: Transforming code, one function at a time, to reduce digital carbon footprints and create a more sustainable digital world.
A repository showcasing my journey through the Green Digital Skills program, focused on understanding and reducing the environmental impact of digital technology.