Renewable energy
All inference processes are powered by clean sources. There are no additional CO₂ emissions during operation.
The rapid development of artificial intelligence comes with growing environmental costs. Training and running Large Language Models (LLMs) require enormous amounts of energy, often sourced from non-renewable resources. This is compounded by the intensive use of water in data center cooling systems and the generation of electronic waste due to the frequent replacement of hardware.
In this context, adopting sustainable hosting practices for LLMs becomes essential, minimizing the carbon footprint and maximizing energy efficiency.
Regolo is designed to be sustainable from the ground up. Our LLMs are hosted on GPU servers powered 100% by renewable energy sources. This means every text generation, every token produced, happens without negatively impacting the environment.
Here’s how we make AI inference truly green:
To ensure the reliability and transparency of our approach, we rely on international standards and recognized partnerships:
Sustainable inference is not an option – it’s a responsibility. At Regolo, we believe it’s possible to develop powerful AI technologies without compromising the planet’s balance. Our commitment is to keep innovating, improving, and transparently measuring every environmental aspect of our service.