As AI workloads scale, so does their energy use and carbon footprint. ghge.ai helps you measure what matters, plan where to run it, and show your numbers clearly. We're building this from Iceland.
“Our largest client wants to know the carbon intensity of the AI workloads we run for them — and we don't have a reliable answer.”
“Compliance reporting is currently a manual process. We need an automated, auditable trail that matches what regulators are starting to ask for.”
“We know our Iceland location gives us a real sustainability advantage — but we can't quantify it in a way that means anything to buyers.”
“Our investors are asking about energy consumption and emissions profile of our AI infrastructure — and our numbers are scattered across teams.”
“We want to choose between regions for our training runs based on carbon intensity, not just price — but the data is hard to find and compare.”
Get a documented baseline for your energy use, PUE, and carbon intensity. Numbers you can show clients, investors, and regulators without caveats.
Compare regions and providers by carbon, cost, and performance before you decide. Know the tradeoffs before you commit.
Turn your data into reports and dashboards your clients and stakeholders can actually read and use. Built around your real numbers.
Training runs, inference, and AI agents are multiplying fast. The energy demand follows. Most operators don't have a way to measure it.
Iceland's grid is geothermal and hydro. Running AI here has a real carbon case. But you need numbers to prove it, not just geography.
EU AI Act, CSRD, and investors are all asking the same questions about AI infrastructure emissions. It's becoming a requirement, not a nice-to-have.
“I started paying attention to what's happening with data centers in Iceland. The renewable power is real. The cooling advantage is real. The investment coming in is real. But nobody has the data to back any of it up properly. Companies running AI workloads need to measure what they're doing. That's the gap we're filling.”
We talk to data center operators, AI teams, and sustainability leads. If this is relevant to what you're working on, just reach out.