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Arm CPUs run 'neck and neck' with x86 for AI - Data centre

Arm CPUs run 'neck and neck' with x86 for AI - Data centre
crn.com.au - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from crn.com.au Daily Mail and Mail on Sunday newspapers.

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Nvidia reveals Arm-based data centre CPU

Nvidia has revealed an Arm-based data center CPU for AI and high-performance computing it says will provide 10 times faster AI performance than one of AMD’s fastest EPYC CPUs, a move that will give the chipmaker control over compute, acceleration and networking components in servers.
The new data center CPU, named Grace after computing programming pioneer Grace Hopper, will create new competition for x86 CPU rivals Intel and AMD when it arrives in early 2023, the launch window Nvidia CEO Jensen Huang provided during the company’s virtual GTC 2021 conference on Monday. The move comes as Nvidia seeks to close on its controversial US$40 billion acquisition of Arm, whose CPU designs are being used for Grace. ....

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Nvidia Reveals Arm-Based Data Center CPU To Take On Intel, AMD

Nvidia Reveals Arm-Based Data Center CPU To Take On Intel, AMD
The GPU juggernaut is taking its computing ambitions a step further with the reveal of an Arm-based data center CPU it says will provide 10 times faster AI performance than AMD’s 64-core EPYC Rome processors.
By
Dylan Martin April 12, 2021, 12:34 PM EDT
Nvidia has revealed an Arm-based data center CPU for AI and high-performance computing it says will provide 10 times faster AI performance than one of AMD’s fastest EPYC CPUs, a move that will give the chipmaker control over compute, acceleration and networking components in servers.
The new data center CPU, named Grace after computing programming pioneer Grace Hopper, will create new competition for x86 CPU rivals Intel and AMD when it arrives in early 2023, the launch window Nvidia CEO Jensen Huang provided during the company’s virtual GTC 2021 conference on Monday. The move comes as Nvidia seeks to close o ....

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