AI Emissions Hub
AI Carbon Footprint
Artificial Intelligence offers incredible capabilities, but these systems require massive amounts of energy. From training neural networks to processing millions of daily prompts, AI's carbon footprint is growing rapidly.
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Training vs. Inference
Training a large language model uses thousands of GPUs running for months, creating a singular massive footprint. However, inference (the everyday use of models like ChatGPT) happens millions of times a day and adds up over time.
Hardware and Cooling
Data centers hosting AI hardware must be kept cool, which often requires significant water and electricity. The overall impact depends heavily on whether the data center runs on renewable energy.
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