Both Nvidia and ARM did not comment on the report.
The British chip designer powers major mobile processor from companies like Qualcomm, Apple, Samsung and Huawei.
Apple last month confirmed its break up with Intel chips for ARM chips in its Mac desktops, announcing it will transition the Mac to its world-class custom silicon to deliver industry-leading performance and powerful new technologies.
Buying ARM would consolidate graphics giant Nvidia's position at the centre of the semiconductor industry.
SoftBank bought ARM for $31 billion in 2016.
Microsoft makes an ARM-based Surface laptop and a version of Windows designed for ARM.
According to The Verge, Nvidia would make an interesting owner for ARM.
While Nvidia is the leader for GPUs, it has little to do with CPU design or mobile hardware.
Nvidia said this week it delivered the world's fastest Artificial Intelligence (AI) training performance among commercially available chips, a feat that will help big enterprises tackle the most complex challenges in AI, data science and scientific computing.
Nvidia A100 GPUs and DGX SuperPOD systems were declared the world's fastest commercially available products for AI training, according to MLPerf benchmarks.
The A100 Tensor Core GPU demonstrated the fastest performance per accelerator on all eight MLPerf benchmarks.
(Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)
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