Green AI: Sustainability in the Age of Data Centers

The Ecological Footprint of Intelligence

A single training run of a large language model consumes as much energy as five cars in their entire lifetime. As companies roll out AI across the board, the IT balance sheet threatens to blow up climate goals. 'Red AI' (high consumption for minimal accuracy gains) is a luxury we can no longer afford.

Efficiency through Specialization

The solution lies in 'Small Language Models' (SLMs) and efficient inference. Not every email needs to be written by a model that possesses world knowledge. Kivanto.ai intelligently routes tasks to the smallest model that can solve the task. This saves not only costs but also CO2.

Transparency is Mandatory

From 2026, companies must also disclose AI energy consumption in their ESG reports. Our platform delivers this data at the push of a button. Thus, AI becomes part of your sustainability strategy instead of torpedoing it.