Control carbon emission of your cloud infrastructure - Carbon-aware cloud infra
A Python library for simulating datacenter energy systems ⚡️
The "Economy Mode" for AI Compute
[ACM e-Energy'24] Code and data for "FedZero: Leveraging Renewable Excess Energy in Federated Learning"
Simulator and datasets to research on carbon-aware temporal workload shifting.
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
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 🇫🇷.
This tool provides a real-time and historical perspective on the carbon intensity of electricity consumed within Great Britain, offering academic and industry insights.
Privacy-preserving, adaptive mechanism that learns per user/domain preferences for sustainability without degrading search quality.
Carbon-aware load scheduler: shifts EV charging, water heating, laundry and pumps into the cleanest grid hours without missing a deadline. Next.js + FastAPI + OR-Tools CP-SAT, live weather-based carbon signal, System One decisions, execution tracking.
Predict the energy consumption of Kubernetes workloads from their specs, before they run. Ground-truth energy labels from Kepler (eBPF) via Prometheus.
Carbon aware suspension for stateful Apache Flink jobs on Kubernetes, without losing their state
A simulation game for teaching Green IT – from code to data center. Run a data center and improve its software so that it serves its users reliably and emits as little CO₂ as possible. Web and desktop, English and German.
Open-source PyTorch AI model profiler for latency, memory, energy (NVML/RAPL), and layer-wise bottlenecks. Measure green AI / ML efficiency no fabricated joules.
🌍 TypeScript superset for SDGs-aware programming. Write sustainable code aligned with UN Sustainable Development Goals through static analysis, runtime monitoring, and developer tools.
Carbon-aware cloud scheduler run live on 13 AWS regions, with 25k verified forecasts and a guard that disables models that don't deliver
Run non-urgent LLM tasks at the cleanest grid hour before a deadline. MCP server + TS/Python library. Apache-2.0.
Demand-gated multi-objective replica placement for geo-distributed Kubernetes federations. A central scheduler decides how many replicas each cluster runs, weighing latency, capacity, network proximity and carbon intensity, with demand as a gate. Code and evaluation of the IEEE NCA 2026 paper.
MCP server that helps AI agents pick the lowest-carbon cloud region for a workload.
To associate your repository with the carbon-aware topic, visit your repo's landing page and select "manage topics."