The growing popularity of generative artificial intelligence, such as ChatGPT from OpenAI, has raised concerns about its environmental impact, especially in relation to the planet's water reserves.
As more companies and users adopt this technology, it becomes important to evaluate how it can affect natural resources, including water.
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In recent years, the Generative AI has required significant computational power to train complex models. This includes the intensive use of electricity-consuming servers and data centers that require large amounts of water for cooling.
Furthermore, producing hardware for these systems also requires water resources. Understand in detail about the problem!
AI and water: what's wrong?
Training and intensive use of artificial intelligence, such as generative language models, requires a significant amount of energy.
This energy demand results in part from training these models on huge data sets, which are processed by high-performance servers and data centers.
Data processing centers consume electricity to power servers and, in many cases, require cooling systems that also consume energy.
Increasing interest in and use of artificial intelligence, especially in data centers and operations intensive, can in fact have significant impacts on energy consumption and local water reserves.
It is important to consider that data centers, where many AI models run, require large amounts of electricity to operate and for cooling.
In the specific case of Des Moines, where OpenAI and Microsoft data centers are located, the 6% allocation of water reserves to maintain AI operations highlights the need for careful management of resources natural.
The capture of water for cooling and other purposes related to the operation of data centers can affect local ecosystems and the availability of water for the community.
The study that shows that ChatGPT consumes one liter of water for every 10 to 100 queries answered highlights the pressing need to consider the environmental impacts associated with the expansion of artificial intelligence and data centers.
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