Data centers — the very infrastructure responsible for processing AI in the cloud — also rely on CPUs to process AI workloads because of their versatility and reduced power consumption.

Dedupe processing chews your CPU There's just too much stuff out there, and it's filling storage devices as fast as they can be upgraded -- 50 percent data growth a year, I'm told, is par for the ...

Cutting-edge CPU architectures, including multi-core processors and advanced manufacturing techniques, are enhancing the processing power and efficiency of data centers.

Performance monitoring is not a one-time task but a continuous process throughout the entire system lifecycle. By scientifically and reasonably setting and tracking these indicators, the IoT smart ...

The role of the data processing unit Data processing units are increasingly going to play a part in AMD’s semiconductor-based offerings.

Code in the data plane is much more amenable to parallel execution than is control code. Given the limited opportunities to improve performance in the classical CPU architecture, some suggest that a ...

With DPU, NVIDIA aims to bring efficiency and optimization to the enterprise data center that was once available only to cloud service providers.

The market for dual interface central processing unit (CPU) card chips has seen substantial growth in the recent past. Its expansion from $4.83 billion in 2024 to $5.35 billion in 2025, with a ...

Nvidia Corp. is targeting more demanding artificial intelligence workloads with the launch of its first-ever Arm-based central processing unit for the data center. Called “Grace,” the new CPU ...