News Explorer — The Training and Inference Phases of AI Models Have a Significant Environmental Impact - Decrypt
10/11/2023 07:50
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Oct 10, 9:40 pm
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The Training and Inference Phases of AI Models Have a Significant Environmental Impact
A new report by Digiconomist founder Alex de Vries highlights the environmental impact of AI, particularly during the training and inference phases. De Vries argues that the inference phase, often overlooked by environmental groups, significantly contributes to the life-cycle cost of an AI model. AI developers' claims of using renewable energy are similar to those made by cryptocurrency companies, but the construction of large data centers for AI models has negative economic and environmental consequences.
A new report by Digiconomist founder Alex de Vries highlights the environmental impact of AI, particularly during the training and inference phases. De Vries argues that the inference phase, often overlooked by environmental groups, significantly contributes to the life-cycle cost of an AI model. AI developers' claims of using renewable energy are similar to those made by cryptocurrency companies, but the construction of large data centers for AI models has negative economic and environmental consequences.
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