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.

As AI shifts from experimental phases to mission-critical roles—such as fraud detection, live recommendation engines, and ...

In addition to GPUs, another emerging processor class—data processing units (DPUs)—has the potential to increase server performance for AI applications. DPUs focus on data processing through ...

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

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

Intel’s latest data-center CPU is a prelude to the process and packaging innovations it has in store for 2024.

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

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 ...

Description 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 ...