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.

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

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 ...

It’s an inefficient way to move data, which slows down the processing of the DNN task. The accelerator is used about 30 percent to 50 percent of the time, with most of the rest of the time spent ...

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

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 ...

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 ...

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