Artificial intelligence (AI) is stretching compute infrastructure well beyond what traditional enterprise data centers were designed to handle. Modern AI training requires massively parallel compute, ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min A New York developer purchased ...

Some tech leaders are concerned that the artificial intelligence race will exhaust available land and energy. The solution might lie in orbit. Credit...Soña Lee Supported by By Eli Tan and Ryan Mac ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

Microsoft EVP of Cloud + AI Scott Guthrie says the goal is to be able to 10X the AI training every 18-24 months. This likely includes maintaining the 2-4X pace of chip improvement. Satya Nadella gave ...

Electricity prices are surging, voters are growing angry, and the artificial intelligence industry's data centers are increasingly a target for blame with U.S. mid-term elections on the horizon.

Parallel Web Systems, founded two years ago by Agrawal, is developing infrastructure that lets AI agents search the internet in real time, reported Reuters. Agrawal said Parallel's APIs allow AI ...

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...

Data centers are proliferating in Virginia and a blind man in Baltimore is suddenly contending with sharply higher power bills. The Maryland city is well over an hour’s drive from the northern ...

What if you could train massive machine learning models in half the time without compromising performance? For researchers and developers tackling the ever-growing complexity of AI, this isn’t just a ...