AI tech needs huge data, but did you know it also uses an enormous amount of water? A new study shows AI tools need to keep data centers cool. Let's discuss the environmental impact of AI tech.
TCL is a global leader in consumer electronics, offering cutting edge mini-LED TV technology and a range of products, from gaming consoles to LCD and OLED TVs. Their C84 Series features QLED color tech, 1,000 nits of brightness, AiPQ 3.0 algorithms, Dolby Vision IQ, Dolby Atmos, 144Hz support, and a 240Hz refresh rate. They also commit to greater environmental responsibility with a pledge to reduce emissions and power consumption. Prices starting from £329 up to £3.599.
ChatGPT is an AI-platform used by millions globally for knowledge and answers. A recent research report has revealed that an astonishing 700.301 litres of water is used to simply train GPT-3. This same amount of water is needed to cool a nuclear reactor! Companies need to focus on their virtual water consumption, efficiency and other strategies to reduce water consumption.
This article examines the water footprint of AI, and how developers are working to minimize it. A team of researchers uncovered how one conversation between 20-50 questions and responses using OpenAI's ChatGPT can require up to 500 ml of water. Microsoft is one of the major contributors to the considerably high water consumption in training. Discoveries suggest efficiency in water usage, and better climate-suitable data center locations can help reduce this ecological cost. OpenAI is leading the way with new cooling infrastructure that decreases their water usage by 97%.
Explore the evolution of tech policy from Obama's optimism to Harris's vision at the Democratic National Convention. What's next for Democrats in tech?