Tokenmaxing is out — Frugal AI is a new trend

The era of blindly burning through AI tokens is over. Major tech companies are realizing that unlimited use of artificial intelligence leads to sky-high costs and enormous ecological damage. The controversial trend of “tokenmaxing” is rapidly giving way to a…

UN chief calls for greater transparency on AI’s environmental impact

As AI continues to reshape industries and economies, concerns are growing about the environmental cost of the technology. United Nations Secretary-General António Guterres has urged AI companies to become far more transparent about the resources required to power their systems,…

Redesigning AI hardware for a low-power future

As AI models scale into data centers, industrial systems, chatbots, and autonomous agents, computational demand is exploding. Yet the limiting factor is no longer just compute power or algorithms — it is how efficiently data can be moved and processed…

Nvidia invests billions in photonics: efficient AI data centers

In recent months, Nvidia has invested billions of dollars in companies working on photonics. With this technology, information is transmitted via light signals rather than electricity. This should make AI data centers faster and more energy-efficient in the future. Energy consumption is…

UK startup Greenpixie raises £4.7M to reduce AI and cloud energy waste

UK-based startup Greenpixie has raised £4.7 million in a pre-Series A funding round. The company helps large enterprises reduce wasted energy, carbon emissions, and unnecessary costs from cloud computing and AI systems. Large companies such as Mastercard already use Greenpixie’s…

Equinix

Inside the building that powers the internet

As we use more and more AI, the demand for energy is rising fast, too. Training and running AI models requires enormous computing power — and that means huge amounts of electricity for the datacenters behind them. Reporter Mauro Mereu…

Europe

European startups lead the charge in sustainable AI 

Artificial intelligence is undergoing a massive expansion that threatens to overwhelm global energy grids. As large language models grow in size, their thirst for electricity creates a critical tension between technological progress and climate goals. Europe has emerged as a…

Predicting AI energy demands in seconds

Researchers from MIT and the MIT-IBM Watson AI Lab have developed a breakthrough tool called EnergAIzer. This framework predicts the power consumption of AI workloads on processors and accelerators in seconds, replacing traditional simulations that often take hours or days.…