AI Sustainability: How Microsoft, Google Cloud, IBM & Dell are Working on Reducing AI's Climate Harms
Briefly

Excessive energy use from generative AI can contribute to drought, animal habitat loss, and climate change, emphasizing the need for sustainable practices to reduce environmental impact.
Training language models in AI can generate significant carbon emissions, with even a small model emitting as much carbon dioxide as using one gallon of gas, highlighting the environmental consequences of AI technology.
AI technology's potential energy consumption could reach levels equivalent to the electricity usage of an entire country like Ireland, underscoring the substantial environmental footprint of AI operations.
A mere conversation involving 10 to 50 responses with GPT-3 AI consumes half a liter of fresh water, showcasing the water-intensive nature of AI operations and its significant environmental implications.
Read at TechRepublic
[
add
]
[
|
|
]