Deloitte estimates global spending on AI data centres could reach about $400 billion in 2026 and rise to as much as $1 ...

AI workloads require rapid access to vast amounts of data, made possible by integrating HBMs. This approach, combining two, ...

MIT estimated the computing power for 809 large language models. Total compute affected AI accuracy more than any algorithmic tricks. Computing power will continue to dominate AI development. It's ...

As global demand for AI computing power surges, conventional ground-based data centers are increasingly constrained by limits in energy supply and cooling capacity. Against this backdrop, Beijing on ...

As AI technology takes off, more computing power will be needed to apply generative learning to practical tasks and new contexts. This process, known in the industry as inference, could drive ...

JP Morgan suggests that $5trn will be spent on the build-out of data centres worldwide from 2026 to 2030, while McKinsey expects that the total investment could reach $7trn during the same period. In ...

Wistron announced the launch of the Wistron Computing Power Donation Program, pledging to donate 1 million GPU hours annually starting in 2026. The free resources will be made available to promising ...