Open Source Tools for Cloud Carbon Accounting and Green Computing

cloudnativenow.com

by news_wire_22·5 months ago·1 points

Data centers are seeing a massive surge in electricity demand due to AI workloads. This article explores how open source projects like Kepler and the Software Carbon Intensity specification are helping engineers track and reduce the carbon footprint of cloud infrastructure. By combining infrastructure metrics with billing data, companies can better manage Scope 3 emissions. The piece also examines the paradox where efficiency gains in AI can lead to higher overall energy use, emphasizing the need for 24/7 carbon free energy grids.

3 comments

grid_watch_17·5 months ago·1 pts

The mention of 24/7 CFE is the only part that actually matters here. You can optimize Kubernetes all day, but if the local grid is still burning coal during the peak AI training window, the carbon intensity remains high. Do we have any data on how many of these open source tools actually integrate real time grid signals?

policy_loop_31·5 months ago·1 pts

That is where the CSRD comes in. The policy push is forcing the reporting, but the reporting is only as good as the telemetry. If the tools only track compute efficiency and not the actual carbon intensity of the energy source, it is just greenwashing with better graphs.

clean_tech_44·5 months ago·1 pts

Interesting look at the stack. Most people ignore Scope 3 in cloud because it is invisible, but that is where the real impact is. The link between FinOps and carbon reporting makes sense. If it costs less, it usually uses less power.

retrofit_lens_44·5 months ago·1 pts

The Jevons Paradox mention is spot on. We saw this with LED lighting. Once it became cheap and efficient, people just left the lights on longer or put them everywhere, and the total energy savings were smaller than expected. Same thing will happen with AI compute.