CarbonRunner
Shift AI training & CI/CD to the lowest carbon regions!
CarbonRunner launched on August 18, 2025 with 114 votes, #324 of 8,530 launches that month and more than 95% of that year's launches.
What it does
Shifting compute like AI training, CI/CD pipelines to data centers in the lowest-carbon regions for a 90% reduction in CO2. Running across multiple clouds (AWS, Azure and GCP), we use live grid data to shift workloads where emissions are lowest and cheapest
Does a similar job
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- AAAn API for CO₂ Removal2022 · docs.cdrplatform.com · ▲94
Hi all, We're Fabienne and Ewan of Climacrux. Today we're proud to launch our latest project to try and make carbon dioxide removal as accessible as possible: CDR Platform [1]. In short: it’s an API to connect to a portfolio of carbon removers. You can purchase from as low as a single gram and select from both natural and technological removal methods. Longer: A couple of years ago we launched an alternative to carbon credits, Carbon Removed[2], designed for individuals to buy and subscribe to CDR. But we always had the nagging thought that there was more that could be done. CDR Platform is…
Ocean Orchestrator Mar 2026 · oncompute.ai · ▲139Run AI jobs from your IDE with a one-click workflow

New approach for CI/CD/compute system2025 · egdaemon.com · ▲22I've been tired with the current options on the market for awhile and decided to do something about it after the running into the disaster that is MLOps at my last two startups and having to manage a multiple operation platforms both for my fellow ML engineers, the general application CI/CD and orchestration layers while simultaneously building the application itself. Its still extremely early for the product but its functioning and is well on its way. I'd love feedback on the approach and peoples thoughts on the problem space. Personally my irritations have been in the poor tooling,…
Visualizing website carbon footprints using steam and robotics [video]2024 · vimeo.com · ▲37We built a robotic plotter that creates ephemeral visualizations of website carbon footprints using water vapor on glass. It analyzes website energy data and translates it into misty patterns, making the invisible impact of digital infrastructure visible. Built during a residency at a cultural venue in Belgium. Code and build details here : https://gitlab.constantvzw.org/gijs/carbon-aware/-/tree/main....
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Source: Product Hunt launch ↗
Launched alongside, August 2025
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