Google says it dropped the energy cost of AI queries by 33x in one year

Google has made significant strides in reducing the energy cost of its AI queries. According to the company, a single text query now consumes the equivalent of only 9 seconds of TV power, a remarkable 33-fold decrease from the previous year. This dramatic improvement is the result of Google's ongoing efforts to optimize its AI models and infrastructure. The company has been working to increase the energy efficiency of its machine learning processes, which are known to be highly resource-intensive. By implementing various techniques, such as model compression and hardware acceleration, Google has managed to substantially lower the energy footprint of its AI-powered services. This not only benefits the environment but also helps to make these technologies more accessible and sustainable in the long run. The company's achievement highlights the importance of addressing the environmental impact of AI and the need for continuous innovation in this area. As the demand for AI-powered solutions continues to grow, Google's progress serves as a model for other tech giants to follow.