carbon-aware-computing

Distributed LLM pretraining during renewable curtailment windows 🌱

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.

End-to-end AI deployment decision system combining real model benchmarking, system-level optimization, and infrastructure-aware trade-off analysis (latency, cost, energy, carbon).

GPU-accelerated data-center power forecasting (LSTM/TCN with CUDA mixed precision, quantile P10/P50/P90) with rolling backtests, CPU vs GPU benchmarks, experiment tracking, FastAPI serving and an LP carbon-aware compute scheduler.

Reproducible artifact for green-energy-aware online multi-objective DAG workflow scheduling.

Carbon-, cost- and cooling-aware scheduling of AI training jobs across data-center regions. A Pyomo MILP solved with CBC, compared against greedy baselines in a Streamlit dashboard.

EcoLogic is a local Streamlit toolkit for generating and evaluating algorithmic refactors across single files or full codebases. It predicts energy use with feature-based ML, profiles Python/C++/.NET/Java workloads, delivers optimized code with SHAP-powered explainability, and creates shareable PDF certificates for auditable, interpretable results.

Carbon-aware serverless request routing with forecasting, reproducible experiments, and explicit sustainability metrics.

Transfer-aware carbon-efficient scheduling framework for simulating distributed deep neural network inference at the edge.

Variability-aware low-code DSL that compiles MLOps pipelines to multi-provider IaC/PaC (Terraform, Kubernetes, Argo), with cost, carbon and sovereignty-aware placement and drift-driven adaptation. GetCaaS contribution to the ANR AdaptiveMLOps project (ANR-24-IAS2-0004).

A lightweight pipeline for carbon-aware job scheduling using 72-hour forecasts of grid renewable energy share.

Sustainable AI infrastructure prototypes, starting with carbon-aware workload scheduling

Pre-alpha carbon-aware DevOps / CI/CD reference toolkit.

Sub-Watt Saccadic Vision & Power-Aware KV-Cache Engine for Hyperscale Agent Data Centers (70%+ Energy Reduction).

Carbon aware LLM routing framework balancing task complexity, grid carbon intensity, latency, accuracy, and carbon budgets.

Carbon intensity (gCO₂eq/kWh) forecasting REST API for the North Italy (IT-NO) electricity zone, built with FastAPI and Facebook Prophet. Part of the DECICE EU Horizon Europe project (GA 101092582) on green, energy-efficient, carbon-aware cloud-edge-HPC computing. Forecasts by day, week, month or custom range.

CAST: 리전 용량 제약을 고려한 탄소 인지 시공간 워크로드 스케줄링 (ILP · LSTM · Python)