Microsoft Builds Massive Supercomputer For Elon Musk's Company: 285,000 CPU Cores And 10,000 GPUs
Anil - May 22, 2020
Microsoft decided to put a lot of money into OpenAI, now they come up with a supercomputer that comprises of 285,000 CPU cores and 10,000 CPUs!
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Microsoft last year announced that it has put $1 billion into Open AI - an Elon Musk-backed company - for the purpose of making artificial intelligence become more human-friendly. And now, right at the Build 2020 developer conference, their very first results are being witnessed. According to Microsoft’s announcement, its Azure-hosted supercomputer has been developed for OpenAI’s large-scale artificial intelligence model testing.
For quite some time, people have seen AI technology being applied in plenty of everyday single tasks, such as object recognition, language translation. But now, a new trend of research has started, focusing on enormous models to enable simultaneous multi-tasks performances. Microsoft added that the supercomputer can be able to moderate game streams and even have the potential of generating code right after GitHub is discovered. In reality, it is confirmed that these massive models show practical effectiveness for both customers and developers.
One feature of the OpenAI supercomputer that grabs public attention is it’s being powered by 285,000 CPU cores and 10,000 CPUs, each of which allows up to "400 gigabits per second" connections. Although the owner of this innovation has not provided any further information about the speed capability, it claims that OpenAI is listed in the top 500 publicly disclosed supercomputers.
It is too soon now to make any conclusion about the advantages that OpenAI can get from its pre-installed powerful system. However, at least, hope in the glorious results still exists. In fact, this non-profit supercomputer is famous for having developed an algorithm that could generate convincing junk news and prove that even bots were learning to cheat while playing hide-and-seek.
Additionally, Microsoft said that it was studying the Turing models open source. Thanks to this potential research, developers are likely to use it for their language processing needs in the near future.
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