Control carbon emission of your cloud infrastructure - Carbon-aware cloud infra

A co-simulation testbed for microgrids and energy-aware systems 🍃

The "Economy Mode" for AI Compute

Simulator and datasets to research on carbon-aware temporal workload shifting.

[ACM e-Energy'24] Code and data for "FedZero: Leveraging Renewable Excess Energy in Federated Learning"

A carbon-aware ML training scheduling system that optimises machine learning workloads using real-time UK grid carbon intensity data. It simulates ML training, finds optimal low-carbon execution windows, and visualises carbon savings through an interactive multi-page Streamlit analytics dashboard.

a Kubernetes operator that aggregates energy and CO2 emission data for tagged resources

This tool provides a real-time and historical perspective on the carbon intensity of electricity consumed within Great Britain, offering academic and industry insights.

API d'intensité carbone de l'électricité française (gCO₂eq/kWh) — souveraine, open source, dev-first. L'équivalent FR de carbonintensity.org.uk, sur données ouvertes RTE/ODRÉ 🇫🇷.

Add energy/carbon/resource-cost awareness to software via Eclexia

Privacy-preserving, adaptive mechanism that learns per user/domain preferences for sustainability without degrading search quality.

HarchOS Python SDK — Carbon-Aware AI GPU Orchestration | OpenAI-Compatible Inference, Carbon Tracking, Sovereign Cloud

Environmental platform for green computing

Energy-aware AI workload scheduler — a Fluxera prototype. CP-SAT optimizer + Next.js dashboard.

HarchOS TypeScript/JavaScript SDK — Carbon-Aware GPU Scheduling & Sovereign AI Infrastructure Client for Node.js

GitHub Action that gates CI/CD jobs on real-time grid carbon intensity. Auto-detects region, checks 10 providers, optionally routes to the greenest zone

HarchCorp — Sovereign AI Infrastructure Platform for Africa | Carbon-Aware GPU Cloud, Datacenter Automation & Industrial Software

[FGCS] Code and data for the paper "Adaptive green cloud applications: Balancing emissions, revenue, and user experience through approximate computing"

A carbon-intensity data API: live gCO₂/kWh for cloud regions from grid-operator sources, plus carbon-aware region routing and GHG-Protocol compliance reporting

Carbon-aware MCP scheduler for agentic AI workflows. Defer "do it later" tasks to the cleanest electricity-grid hour inside a deadline — 40–70 % lower CO2, 50 % cheaper via Batch APIs. Apache-2.0.