{"id":69306,"date":"2026-08-27T14:57:24","date_gmt":"2026-08-27T12:57:24","guid":{"rendered":"https:\/\/www.inovex.de\/de\/blog\/what-does-ai-really-cost-an-attempt-to-make-emissions-visible\/"},"modified":"2026-08-27T15:02:28","modified_gmt":"2026-08-27T13:02:28","slug":"what-does-ai-really-cost-an-attempt-to-make-emissions-visible","status":"publish","type":"post","link":"https:\/\/www.inovex.de\/en\/blog\/what-does-ai-really-cost-an-attempt-to-make-emissions-visible\/","title":{"rendered":"What Does AI Really Cost? An Attempt to Make Emissions Visible"},"content":{"rendered":"

What does AI really cost? Not in terms of subscription models or API prices, but in terms of electricity consumption, CO\u2082 emissions, and water usage. <\/span><\/p>\n

We wanted to explore this question by doing what we do best: designing and developing applications. The idea: an LLM Sustainability Calculator that makes the environmental impact of using large language models more tangible. <\/span><\/p>\n

After all, AI often seems intangible in everyday life: a prompt, a response, a few seconds of waiting. But behind it all lies real infrastructure: data centers, servers, chips, power supplies, and cooling systems. <\/span><\/p>\n

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