China’s artificial intelligence (AI) ambitions may be far larger than previously understood. Reports suggest ...

Raw computer processing power—known within the industry as “compute”—is quickly becoming the bottleneck in global AI ...

AMD CEO Lisa Su says AI will soon need "10 yottaflops" of compute — a scale of computing power the world has never built before.Caroline Brehman / AFP via Getty Images AI needs so much computing power ...

Domestic AI amounts to 1,882,000,000,000,000,000 calculations per second, vastly more than Western rankings suggest China has reported a staggering amount of domestic artificial intelligence power, ...

MIT estimated the computing power for 809 large language models. Total compute affected AI accuracy more than any algorithmic tricks. Computing power will continue to dominate AI development. It's ...

As artificial intelligence adoption accelerates, data centers are undergoing a fundamental transformation. In 2026, AI infrastructure is no longer defined by scale alone; it is about power density, ...

The AI boom is driving an explosive surge in computational demands and reshaping the landscape of technology, infrastructure, and innovation. One of the biggest barriers to widespread AI deployment ...

The latest trends in software development from the Computer Weekly Application Developer Network. Current GPU architectures deliver dramatic efficiency gains with every generation and silicon is not ...

With the proliferation of generative AI (GenAI) models, data centers are under pressure to deliver unprecedented computational power, energy efficiency, and thermal management. AI data center market ...

AI will soon need "10 yottaflops" of compute, said AMD CEO. "How many of you know what a yottaflop is?" Su asked the audience at CES 2026. "There's just never, ever been anything like this in the ...