Sustainability
Artificial intelligence and sustainability: a practical guide
How can AI support sustainability? Compare useful applications, calculate an example energy footprint, and evaluate claims with clear measurement boundaries.
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Sustainability
7 posts on the GreenPT blog filed under Sustainability.
Sustainability
Sustainability machine learning: reduce compute without losing quality
A practical guide to where ML energy use really comes from, what to measure, and which efficiency techniques cut compute without quietly breaking model quality.
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Sustainability
Sustainable AI Without Compromise: How GreenPT Cuts Carbon Without Cutting Performance
Most AI runs on someone else's coal. GreenPT runs on European wind and sun, at up to 40% lower CO₂ per query, without trading off model quality. Here's how the math works.
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Sustainability
AI for sustainable development: a responsible innovation
AI isn't sustainable by default. Energy use, data centres and hardware churn all carry a real footprint. Here's how to use AI that actually advances sustainable development goals.
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AI's carbon footprint: why choosing low-impact AI matters
Every AI query has a footprint, from chip manufacturing to daily inference. Here is what the emissions look like, and why a low-impact model matters.
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AI's impact on the environment, and how to do better
Behind every AI-powered tool sits a data centre that drinks electricity, water, and rare metals. Here is what AI actually costs the planet, and how GreenPT brings the numbers down.
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Sustainability
Introducing a new AI metric to drive sustainability
GreenPT proposes mWh per 100 tokens as a new standard for AI energy transparency. Real-time 1-second sampling supports SCI reporting and makes efficiency a product decision, not an afterthought.
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