Reducing the Environmental Impact of Generative AI: a Guide for Practitioners

Introduction As generative AI’s adoption rapidly expands across various industries, integrating it into products, services, and operations becomes increasingly commonplace. However, it’s crucial to address the environmental implications of such advancements, including their energy consumption, carbon footprint, water usage, and electronic waste, throughout the generative AI lifecycle. This lifecycle, often…

26/04/2024Azure Architecture Blog

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