How Much Energy Do Artificial Intelligence Tools Consume?

Increasingly widespread use in recent years artificial intelligence tools, that many of us may have overlooked carbon footprint brought up the issue. Although it is useful for us in many areas, the energy consumed by artificial intelligence is considered a harbinger of disaster for a certain segment of people.

However, it is an entrepreneurial project on artificial intelligence. Hugging Face, They conducted a study with Carnegie Mellon University on the energy consumed by artificial intelligence vehicles. Especially DALL-E While creating incredibly realistic images, the energy he spent attracted the attention of many people.

According to research, the energy consumed by artificial intelligence tools when creating images is equivalent to charging a phone.

DALL-E, perhaps the most popular of the rendering tools, uses a phone while creating an image. only up to 16% It uses the energy consumed while charging. Accordingly, the energy consumed by artificial intelligence does not increase its carbon footprint that much.

Besides ChatGPT Text-based artificial intelligence tools like these consume less energy than the energy we talk about when summarizing an article or chatting about any topic. This shows how small the carbon footprint actually is.

A total of 13 different commands were examined in the research.

Not only creating images and text, but also text summarization and classification A total of 13 different commands such as were discussed. Next carbon dioxide produced per 1000 grams By examining the amount of data, they worked on 88 different models with 30 different data sets to make the study more fair.

To obtain the amount of carbon during measurement, researchers They ran 1000 commands in total. Accordingly, the tools that need the most energy are listed as text creation, summarization and image creation. image creation produces in terms of emissions ranked first, while text creation ranked last.

per day more than 10 million ChatGPT, which has users, caused researchers to conduct research on carbon footprint. To make the impact of artificial intelligence on the environment more understandable inviting developers to be transparent Although researchers emphasize that charging a phone up to 16% consumes a small amount of energy, carbon emissions can easily increase.