In recent years, the exponential growth in AI technologies has driven an unprecedented demand for computational power. This has, in turn, increased the energy consumption of data centers worldwide, raising concerns about sustainability and environmental impact. Amidst these concerns, the prospect of utilizing nuclear power as a reliable and efficient energy source for AI operations has gained traction. With its capacity to provide large amounts of constant, low-carbon energy, nuclear power is being considered as a viable option to power the future of AI. Our team believes that the integration of renewable and nuclear energy sources could significantly reduce the carbon footprint of AI technologies. We observe that nuclear energy, traditionally viewed as a lightning rod of controversy, is being re-evaluated in the context of sustainable technology solutions. By harnessing nuclear power, AI can achieve higher efficiency in both computational performance and energy consumption. The pursuit of nuclear-powered AI systems could potentially unleash new capabilities, drive down costs, and help manage the ever-increasing energy demands of AI systems. By tapping into the vast energy supplies offered by nuclear plants, these AI-driven operations could become more sustainable and environmentally friendly. This approach aligns with broader efforts to decouple technological advancements from environmental degradation, ultimately driving AI in a direction that promotes environmental sustainability.