repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago
mlco2/ecologits
🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 54%Google’s AI buildout drove 37% increase in electricity use in 2025 →
- PossiblePossibly related (embedding) · 53%Monitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatch →
- PossiblePossibly related (embedding) · 49%AI helps map how ecosystems absorb CO₂ across Europe - Deltares →
- PossiblePossibly related (embedding) · 49%Eco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital Twins →
- PossiblePossibly related (embedding) · 48%How Open Models Are Driving AI Research →
- PossiblePossibly related (embedding) · 48%A Definition and Roadmap for World Models →
- PossiblePossibly related (embedding) · 48%Multi-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy Farms →
- PossiblePossibly related (embedding) · 54%Realigning AI technology towards the Sustainable Development Goals →
Covers
newsGoogle’s AI buildout drove 37% increase in electricity use in 2025newsMonitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatchnewsAI helps map how ecosystems absorb CO₂ across Europe - DeltaresnewsEco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital TwinsnewsHow Open Models Are Driving AI Research
Implements
Implements (incoming)
Covers (incoming)
newsRealigning AI technology towards the Sustainable Development GoalsnewsWhy Performance per Watt Is the Ultimate Metric for AI Infrastructure EfficiencynewsApplied Computing wants to give oil and gas operators an AI model for the entire plantnewsAI power binge delivers best half since 2022 for climate tech venture fundingnewsEnergy expects $74M in annual savings from new AI and data tools - Nextgov/FCWnewsAI Turns Emissions Data Into ROI-Generating Insights | Editors Choice | Magazine - American Oil & Gas ReporternewsAI-driven upgrade of communications energy storage empowers a new energy ecosystem for multiple industriesnewsAI study reveals the biodiversity cost of green energy minerals - EurekAlert!newsGenerative AI Enables Inverse Design of 3D Energetic Materials for Tailored Combustion - Bioengineer.org
Related across the graph
newsMonitor and debug generative AI inference with SageMaker detailed metrics and Insights dashboard on CloudWatchpaperA Definition and Roadmap for World ModelsnewsEco Wave Power Turns Waves Into Watts With NVIDIA AI Infrastructure and Digital TwinsnewsAI Turns Emissions Data Into ROI-Generating Insights | Editors Choice | Magazine - American Oil & Gas ReporternewsWhy Performance per Watt Is the Ultimate Metric for AI Infrastructure EfficiencypaperMulti-Agent Deep Reinforcement Learning for Multi Objective Battery Management in Dairy FarmsnewsAI power binge delivers best half since 2022 for climate tech venture fundingnewsAI-driven upgrade of communications energy storage empowers a new energy ecosystem for multiple industriesnewsAI study reveals the biodiversity cost of green energy minerals - EurekAlert!newsGoogle’s AI buildout drove 37% increase in electricity use in 2025newsAI helps map how ecosystems absorb CO₂ across Europe - DeltaresnewsEnergy expects $74M in annual savings from new AI and data tools - Nextgov/FCWnewsApplied Computing wants to give oil and gas operators an AI model for the entire plantnewsHow Open Models Are Driving AI ResearchnewsGenerative AI Enables Inverse Design of 3D Energetic Materials for Tailored Combustion - Bioengineer.orgnewsRealigning AI technology towards the Sustainable Development Goals