Training compute builds AI models. Inference compute runs them — repeatedly, at global scale, serving millions of users billions of times daily.

Kamal Mann is a Software Architect with over 22 years of experience in Industry 4.0 systems. He currently advises on edge ...

Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...

Even as technology companies are projected to spend more than $5 trillion globally on earth-based data centers by the end of the decade, Elon Musk is arguing the future of AI computing power lies in ...

Data centers face a conundrum: how to power increasingly dense server racks using equipment that relies on century-old technology. Traditional transformers are bulky and hot, but a new generation of ...

Modern software increasingly depends on data structures that go far beyond basic arrays and trees. Some of the most powerful systems rely on designs that rarely appear in traditional programming ...

Early data centers on the ground can target sites with existing infrastructure and power plants with available power. The most cooperative local governments, and minimal opposition. As scale increases ...

Artificial intelligence (AI) companies may be booming, but they’re still struggling to get around a fundamental constraint: an insatiable demand for electricity. The federal government isn’t likely to ...

Voyager Technologies CEO Dylan Taylor said data centers in space will become a reality, but cooling issues still need to be resolved. Tesla CEO Elon Musk highlighted space-based data centers as a ...

An illustration shows a strand of engineered DNA passing through a nanoscale sensor, where its physical structure can be decoded as digital information. DNA nanostructures could one day serve as ultra ...