As cloud computing becomes more common, businesses have had to contend with the challenge of protecting sensitive data during processing. Confidential computing addresses this by keeping data in use ...

The race to build artificial intelligence is driven by little silicon chips called GPUs, which were originally created for video games. A drawing of a GPU chip Tech companies are now packing GPUs — ...

Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...

A huge upswing in the number of data centers worldwide shows no signs of slowing down, prompting Big Tech to consider how best to power the artificial intelligence revolution. Some of the options on ...

With the exponential growth of digital data and the limitations of conventional silicon-based storage and computing technologies, bio-inspired, DNA-driven computing and information storage has emerged ...

A spike in electricity demand from the world’s big data providers is raising a worrying possibility for the world’s climate: a near-term surge in fossil-fuel use. Utilities, power regulators and ...

Judging by state and local filings alone, the U.S.' data center computing capacity could jump by close to 1,000% if all projects currently planned come to fruition.

Divya Mahajan owns shares in Google, AMD, Microsoft, and Nvidia. She receives funding from Google and AMD. Artificial intelligence is growing fast, and so are the number of computers that power it.