GenerMotor is a pioneer in high-voltage DC (HVDC) power solutions, specializing in modular, stackable power generation technology designed for the AI and data center era. Collaborating with industry ...

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, ...

In these politically divisive times, there’s one thing we all agree on—we don’t want a giant data center in our backyard. Behold, the hyperscale data center! Massive structures, with thousands of ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

Learn how to use advanced techniques like short-circuiting, parallel execution, virtual threads, and stream gatherers to maximize Java stream performance. My recent Java Stream API tutorial introduced ...

Data center demand forecasts have led to skyrocketing prices to secure future power supplies on PJM Interconnection, the largest electric grid in the U.S. Consumers served by PJM will pay $16.6 ...

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.

Former Twitter Inc. Chief Executive Parag Agrawal today announced that his startup, Parallel Web Systems, has raised $100 million in an early-stage round to build web search infrastructure designed ...

Amazon.com Inc. alleges that a Berkshire Hathaway Inc.-owned utility in Oregon is failing to provide sufficient power for four new data center facilities, highlighting the strain rapid expansion of ...

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 ...