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
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.
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
Carbon aware suspension for stateful Apache Flink jobs on Kubernetes, without losing their state
Environmental platform for green computing
Energy-aware AI workload scheduler — a Fluxera prototype. CP-SAT optimizer + Next.js dashboard.
MCP server that helps AI agents pick the lowest-carbon cloud region for a workload.
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.
Apex NP-Hard Combinatorial Optimization Solvers for Distributed Data Centers, Hyperscale Clouds, and AI Superclusters
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