Power availability is the primary bottleneck for AI data centers – alongside a series of other power-related complications.

is using semiconductors made in China for cutting costs on training artificial intelligence (AI) models by 20 per cent. The results attained were even similar to those from Nvidia Corp. chips like ...

Part of the surge in demand comes from data centers, and their increasing thirst for power comes in part from running ...

Built a differentiated portfolio and accelerated revenue growth with its independently developed reusable and automated design platfo ...

Image source: Getty Images ... Nvidia has jumped into the lead among semiconductor companies in making AI chips and accelerators, and it has the competitive advantages to help it stay there.

The Inflation Reduction Act of 2022 further complicated the landscape by limiting tax credits for EVs due to sourcing requirements for battery components.After making deep investments, re-tooling ...

On a visit to a Royal Air Force base, I met a military logistics driver, Jack. Jack joined young and received training in specialist defense logistics ...

Learn what makes supercomputers so powerful and essential in today’s tech landscape. ExtremeTech breaks down the science.

At AI EXPO 2025, Luba Tang, founder and CTO of Skymizer, highlighted the increasing convergence between AI model development ...

AI semiconductor stocks fall due to valuation resets, not structural issues, Bloomberg Intelligence analysis shows. Rising ...

Researchers from the National University of Singapore (NUS) have demonstrated that a single, standard silicon transistor, the ...

FuriosaAI, a South Korean startup that makes chips for AI applications, has rejected an $800 million acquisition offer from Meta, opting instead to focus on developing and producing its AI chips ...