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How Much Energy Will It Take To Power AI? | Contrary

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Foundations & Frontiers is launching a new series: Insights. These shorter, issue-based posts will explore dedicated topics across energy, manufacturing, biology, chemistry, transportation, the digital world, and more. Stay tuned as we continue to explore bottlenecks and breakthroughs across the technological frontier! We hope you enjoy this first installment on the energy costs of artificial intelligence. There is a lot of speculation about how much energy the growing demand for AI will require. Some estimates suggest that by 2026, electricity demand for data centers will double — globally using up as much electricity as all of Japan. These estimates match projections from analysts at Goldman Sachs who believe that by 2030, data center energy demands will grow by 160% and comprise nearly half of all new demand in that period. Training foundational AI models can be quite energy-intensive. GPT-3, OpenAI’s 175 billion parameter model, reportedly used 1,287 MWh to train, while DeepMind’s

Foundations & Frontiers is launching a new series: Insights. These shorter, issue-based posts will explore dedicated topics across energy, manufacturing, biology, chemistry, transportation, the digital world, and more. Stay tuned as we continue to explore bottlenecks and breakthroughs across the technological frontier! We hope you enjoy this first installment on the energy costs of artificial intelligence. There is a lot of speculation about how much energy the growing demand for AI will require. Some estimates suggest that by 2026, electricity demand for data centers will double — globally us

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