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Microsoft Explores Using Nuclear Power to Fuel AI Model Training

  • Microsoft considering using small nuclear reactors to power AI training, which requires massive amounts of electricity.

  • Nuclear power could provide carbon-free energy needed for energy-intensive AI model training.

  • Microsoft would need to source small modular reactor (SMR) design and enriched uranium fuel supply.

  • Microsoft founder Bill Gates has invested in nuclear power startup TerraPower, but no deals yet with Microsoft.

  • In addition to nuclear fission, Microsoft investing in nuclear fusion startup Helion Energy for future electricity.

futurism.com
Relevant topic timeline:
Microsoft is seeking a nuclear expert to assess the integration of small modular nuclear reactors to power its data centers as part of their AI operations.
Microsoft is hiring a Principal Program Manager Nuclear Technology to lead the integration of Small Modular Reactors and microreactors to power datacenters and develop a global energy strategy.
Microsoft is looking to use nuclear technology, specifically microreactors and Small Modular Reactors (SMRs), to power its data centers and support its energy-intensive AI initiatives, according to a job posting for a nuclear technology program manager.
Microsoft is planning to power its large language models using nuclear reactors, with the goal of reducing the power-intensive process's carbon footprint and reliance on traditional energy sources.
Microsoft is forming a team to advance its artificial intelligence plans by hiring professionals to develop an energy strategy based on Small Modular Reactors and microreactor energy.
Big Tech companies like OpenAI and Microsoft are investing in nuclear power as a potential energy source for their energy-intensive AI models, despite the controversy surrounding nuclear energy's sustainability and waste management. Some experts argue that reducing energy consumption and increasing transparency are more efficient and environmentally friendly solutions to address the growing energy needs of AI.