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.

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

According to SiFive, its engineers enhanced the two designs with a new co-processor interface. The technology will make it ...

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

Nvidia (Nasdaq: NVDA) has rolled out a central processing unit designed to help customers manage high-performance computing and artificial intelligence workloads at data centers. Grace CPU uses ...

Nvidia reveals an Arm-based data center CPU coming out in 2023 and says it will provide 10 times faster AI performance than one of AMD’s fastest EPYC CPUs.

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 ...

And second, NVIDIA is designing its own CPU for GPU co-processing. About half of data center CPU/GPU purchases are made by the top hyperscalers. Arm’s Mohamed says the motivation for hyperscalers to ...

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 ...