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Ampere Computing shows growth in public cloud, as shown by Liftr Insights data

Liftr Insights (PRNewsfoto/Liftr Insights)

News provided by

Liftr Insights

Dec 14, 2022, 10:08 ET

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The growth of Ampere Computing, leveraging ARM architecture, in the public cloud is a strong signal for growth in private as well.

AUSTIN, Texas, Dec. 14, 2022 /PRNewswire/ -- Liftr Insights, a pioneer in market intelligence driven by unique data, shows growth of Ampere Computing through the lens of Liftr Insights data.

Ampere Computing, a candidate for an IPO in the near future, first made an appearance among the top six cloud providers in mid-2021. The company's presence continues to expand in the cloud, with data showing annual growth as of mid-November 2022 of 443%.

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Ampere Computing shows growth in the cloud through the lens of Liftr Insights data.

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Ampere Computing is growing in the cloud
Ampere Computing is growing in the cloud

"Intel and AMD are paying close attention to Ampere," says Tab Schadt, CEO of Liftr Insights. "They know that Ampere is cutting into their share of the overall market."

Intel and AMD build CPUs based on x86 architecture. The ARM-based architecture competes with x86. Investors are keeping a close eye on ARM as another pre-IPO company.

Among the indicators of Ampere Computing growth indirectly, and ARM directly, is the continued expansion of AWS Graviton. Like Ampere Computing, Graviton uses the ARM architecture. Adoption of Graviton within AWS is a good signal for interest and willingness of companies to shift from x86 to ARM-based chips like what Ampere Computing offers.

Liftr Insights has tracked the growth of AWS Graviton from the first generation to the latest generation released this year. Graviton has grown 20% over the past 6 months according to Liftr Insights data.

Other cloud providers are opting to leverage Ampere Computing technology in lieu of or prior to implementing their own ARM-based CPUs. Private companies are looking to ARM-based architecture as a possible option for performance at a lower cost and lower power consumption. While debates continue about whether ARM-based architectures can provide equivalent performance to x86-based architecture for a reduced overall cost, Liftr Insights data indicate more consumers are willing to make the shift.

"We've been watching Ampere Computing and ARM since we started tracking data in early 2019," says Schadt. "The rate of growth and the impact on Intel and AMD has been exciting to watch. Our customers are following those changes every few weeks! We expect even more interest when Ampere Computing and ARM file for their IPOs."

About Liftr Insights 

Liftr Insights generates reliable market intelligence using unique data, including details about configurations, components, deployment geo, and pricing for:

  • Server processors: Intel Xeon, AMD EPYC, and AWS's Arm-based Graviton brands
  • Datacenter compute accelerators: GPUs, FPGAs, TPUs, and AI chips from NVIDIA, Xilinx, Intel, AMD, AWS, and Google

As shown on the Liftr Cloud Regions Map at https://bit.ly/LiftrCloudRegionsMap, among the companies tracked are Amazon Web Services, Microsoft Azure, Alibaba Cloud, Google Cloud, Oracle Cloud, and Tencent Cloud as well as semiconductor vendors AMD, Ampere, Intel, NVIDIA, and Xilinx. Liftr Insights subject matter experts translate company-specific service provider data into actionable alternative data. Market intelligence consumers can easily ingest this timely, standardized, and operationally-compliant information into their predictive financial models. 

Liftr and the Liftr logo are registered service marks of Liftr Insights. The following are trademarks and/or service marks of Liftr Insights: Liftr Insights, Liftr Cloud Components Tracker, and Liftr Cloud Regions Map. 

The following are registered intellectual property marks, trademarks, or service marks of their respective companies: 
Amazon Web Services 
Microsoft Azure 
Alibaba Cloud 
Google Cloud 
Oracle Cloud
Tencent Cloud
Intel Corporation 
Ampere Computing
Nvidia
AMD 
ARM

SOURCE Liftr Insights

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