NVIDIA boasts cloud prowess of Tesla V100 GPU as results soar

James has more than a decade of experience as a tech journalist, writer and editor, and served as Editor in Chief of TechForge Media between 2017 and 2021. James was named as one of the top 20 UK technology influencers by Tyto, and has also been cited by Onalytica, Feedspot and Zsah as an influential cloud computing writer.

It was a statement inferred during NVIDIA’s most recent earnings call – and now it has been confirmed.

The company’s Tesla V100 GPU has been chosen by every major cloud provider, with the likes of Alibaba Cloud, Amazon Web Services, Microsoft Azure, Oracle and Tencent all announcing Volta-based cloud services.

Alongside this, the company’s financial results revealed record revenues of $2.64 billion, up 32% from this time last year, with data centre revenue of $501m, more than doubled from a year ago, and growth across all platforms. For the first three quarters of 2018, NVIDIA returned to shareholders $909 million in share repurchases and $250m in cash dividends.

Speaking to analysts following the financial results announcement, Colette Kress, executive vice president and CFO, said NVIDIA’s data centre business had an ‘outstanding’ quarter.

“As we have noted before, Volta delivers 10x the deep learning performance of our Pascal architecture, which has been introduced just a year earlier, far outpacing Moore’s Law,” Kress said, as transcribed by Seeking Alpha. “The V100 is being broadly adopted with every major server OEM and cloud provider. We expect support from V100 from other major cloud providers as well.”

Replying to an analyst question for the next couple of quarters on the data centre side, CEO Jenson Huang said: “This ramp is just the first part of supporting the build out of GPU-accelerated service from our company for data centres all over the world as well as cloud service providers all over the world. The applications for these GPU servers has now grown to many markets.”

Huang added that there were five primary segments for its Tesla GPUs, including high performance computing, deep learning training, inference, and putting it all together in the public cloud.

You can take a look at NVIDIA’s financial results here.

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