Openchip

European BER10 chip: powerful and energy-efficient for AI

Europe is setting a milestone in digital sovereignty with the BER10, a chip designed by Openchip. This processor combines high performance with energy efficiency, specifically tailored for demanding AI workloads. With four high-performance CPU cores, vector processing, and support for…

Research: quantum computing could reduce AI’s growing energy demand

AI is driving up demand for computing power and electricity. But quantum computing could help make future AI systems more energy efficient. That is the conclusion of new research by quantum computing company IonQ, together with researchers from QuantumBasel and…

New computer architecture aims to make AI more energy-efficient

Artificial intelligence is consuming increasing amounts of energy. Major technology companies are investing billions in new data centers to train and run AI models. Researchers now believe they have found a way to drastically reduce that energy consumption. A team…

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…