{"repo":"aashanm/arboric","free":true,"listed":false,"github":"https://github.com/aashanm/arboric","clone":"git clone https://github.com/aashanm/arboric.git","description":"The \"Economy Mode\" for AI Compute","language":"Python","stars":56,"topics":["carbon-aware","cli","cloud-infrastructure","finops","green-computing","kubernetes","optimization","scheduling","sustainability","gpu-orchestration"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"🌲 Arboric Intelligent autopilot for cloud infrastructure that schedules AI workloads during optimal energy windows to minimize cost and carbon emissions. --- The Problem AI teams spend millions on compute. Most of that cost is arbitrary - determined by when jobs run, not what they do. Spot and on-demand pricing fluctuate significantly across hours — windows that correlate with grid conditions. Carbon intensity varies substantially hour-to-hour. Yet nearly every workload runs immediately at peak cost. Compliance is moving faster. SB 253 (California's Scope 3 deadline) is January 2027 . Most cloud platforms can't prove workload carbon - they need scheduling intelligence. The Solution Arboric monitors spot instance pricing and marginal emissions rates independently, then automatically delays flexible workloads to the lowest-cost, lowest-carbon execution window within your deadline. An algorithm running on your own infrastructure (or ours). - Cost reduction on flexible workloads (real metrics, not projections) - Scope 3 compliance with audit trail showing carbon-aware decisions - Zero code changes — works with any orchestration layer (Airflow, Kubernetes, serverless, etc.) - Deploy in hours — single binary + REST API --- 🚀 Quick Start Install & Run View on PyPI → bash pip install arboric arboric demo bash Optimize a specific job: 6h, must finish within 24h Power is auto-derived from instance type, or defaults to 100 kW arboric optimize \"LLM Training\" --duration 6 --deadline 24 ","default_branch":null,"files":null,"tree":[],"storefront":"/r/aashanm","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/aashanm/arboric/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}