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Nvidia Unveils a CPU Chip for Data Centers, Supercomputers

The chip, codenamed Grace, is based on the ARM architecture. It'll help fill out Nvidia's product catalog for servers, and may pose a competitive threat to Intel.

 & Michael Kan Principal Reporter

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(Credit: Nvidia)


Nvidia is breaking into the server CPU market with a new chip built on the ARM architecture. 

The CPU, codenamed Grace, won’t arrive until early 2023. But according to Nvidia, the chip will deliver 10 times the performance over the leading x86 server chips when it comes to AI and large-scale data science workloads. 

The product may pose a competitive threat to Intel, which has long dominated the server chip market. For years now, Nvidia has been supplying the GPUs used in data centers and supercomputers to power 3D simulations. The Grace chip helps fill out the company’s catalog, enabling server customers to buy both CPUs and GPUs from Nvidia. 

“Nvidia is introducing Grace as the volume of data and size of AI models are growing exponentially,” the company said. “Today’s largest AI models include billions of parameters and are doubling every two-and-a-half months. Training them requires a new CPU that can be tightly coupled with a GPU to eliminate system bottlenecks.”

The Grace CPU
Credit: Nvidia

Grace debuted at Nvidia's GTC event, where the company talked up its latest advancements in enterprise technologies. The chip stands out by enabling 900GB/s connection between the Grace CPU and Nvidia GPUs for a 30 times higher aggregate bandwidth over the leading server chip system. The CPU also uses an LPDDR5x memory system to offer better bandwidth and energy efficiency over DDR4 memory, according to Nvidia. 

However, the company points out the Grace CPU is a “highly specialized processor,” designed to serve niche markets. So it’s probably ill-suited for general purpose workloads. 

Nevertheless, the chip is already attracting customers. Nvidia says the Swiss National Supercomputing Centre and the US Department of Energy’s Los Alamos National Laboratory both plan on building supercomputers around the Grace CPU. Expect them to go online in 2023. 

The Grace CPU also uses the computing architecture from ARM, a company that Nvidia is trying to acquire if government regulators will let it. ARM chips are best known as low-energy processors used to power smartphones. But over the years, the CPU architecture has also been gaining traction in data centers and supercomputers as an energy-efficient alternative to x86 server chips. 

Nvidia CEO Jensen Huang said in an investors call that he’s hoping his company can close the acquisition with ARM in 2022. However, he added that Nvidia's technology will continue supporting both ARM and x86 server chips.

It was not mentioned if whether Nvidia's Grace CPU will ever target PCs. But in 2011, the company announced Project Denver, an attempt to create ARM-based chips for PCs, servers, and supercomputers.

About Our Expert

Michael Kan

Michael Kan

Principal Reporter

My Experience

I've been a journalist for over 15 years. I got my start as a schools and cities reporter in Kansas City and joined PCMag in 2017, where I cover satellite internet services, cybersecurity, PC hardware, and more. I'm currently based in San Francisco, but previously spent over five years in China, covering the country's technology sector.

Since 2020, I've covered the launch and explosive growth of SpaceX's Starlink satellite internet service, writing 600+ stories on availability and feature launches, but also the regulatory battles over the expansion of satellite constellations, fights with rival providers like AST SpaceMobile and Amazon, and the effort to expand into satellite-based mobile service. I've combed through FCC filings for the latest news and driven to remote corners of California to test Starlink's cellular service.

I also cover cyber threats, from ransomware gangs to the emergence of AI-based malware. In 2024 and 2025, the FTC forced Avast to pay consumers $16.5 million for secretly harvesting and selling their personal information to third-party clients, as revealed in my joint investigation with Motherboard.

I also cover the PC graphics card market. Pandemic-era shortages led me to camp out in front of a Best Buy to get an RTX 3000. I'm now following how the AI-driven memory shortage is impacting the entire consumer electronics market. I'm always eager to learn more, so please jump in the comments with feedback and send me tips.

The Best Tech I've Had:

  • My first video game console: a Nintendo Famicom
  • I loved my Sega Saturn despite PlayStation's popularity.
  • The iPod Video I received as a gift in college
  • Xbox 360 FTW
  • The Galaxy Nexus was the first smartphone I was proud to own.
  • The PC desktop I built in 2013, which still works to this day.

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