Optimizing Data Centers: Reducing Energy Consumption with AI and Software Innovations

In the fall of 2024, researchers introduced an open-source tool called Perseus, which aims to reduce electricity consumption during the training of large language models like OpenAI’s GPT by up to 30%. This is achieved by optimizing the load on GPUs used for AI training through software. Canadian computer scientists have discovered another simple way … Read more

Assessing and Reducing the Environmental Impact of AI Technology

AI models require data centers to process prompts accurately, but these centers consume a lot of energy. AI tools like ChatGPT are becoming more reliable, yet they demand increasing computational power. The exact emissions from AI bots are hard to determine because providers don’t release specific data on the environmental impact of their outputs. In … Read more

The Energy and Emission Impact of AI Data Centers in the U.S.

The current AI boom is consuming vast amounts of energy, particularly in the United States. A report from the Harvard T.H. Chan School of Public Health examined 2,132 data centers in the U.S., which amounts to 78% of all such facilities in the country. These centers, filled with rows of servers, are used to train … Read more

Balancing AI’s Energy Consumption and Sustainability Potential

Artificial intelligence (AI) and machine learning are no longer new concepts, but the discussion about AI’s energy consumption is more relevant than ever. AI’s rapid development and spread have the potential to fundamentally change many aspects of life and business. In the IT and software sectors, AI systems are increasingly used to handle complex tasks … Read more