AI researchers have discovered a potentially revolutionary way to power AI inference applications: nuclear energy. A new study by Meta Engineer suggests that only two nuclear power plants would be required to meet the global demand for AI inference next year. The research team found that using nuclear energy in data centers could reduce costs and emissions while providing a more reliable source of power than current alternatives such as natural gas or solar.

This article is beneficial to those interested in the potential of AI, sustainability, renewable energy sources, and cost savings. Read the whole story here:

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