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

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.

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

As AI shifts from experimental phases to mission-critical roles—such as fraud detection, live recommendation engines, and real-time video analytics—the traditional batch-first data processing approach ...

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

Data processing typically involves data movement in small batches across the input/output (I/O) bridge from storage device to processor, before writes back to storage.

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 ...

A team of computer scientists at the University of Toronto recently discovered that a certain type of hardware attack is ...

What does data processing actually mean? Find out inside PCMag's comprehensive tech and computer-related encyclopedia.

The central processing unit (CPU) is either a dedicated integrated circuit (IC) or intellectual property (IP) core on an IC that processes logic and math. A CPU can handle high-level provisioning of ...