Microsoft has constructed a 285,000 Processor Super Computer

OpenAI’s goal with Microsoft in this initiative is not just to pursue research breakthroughs but also to engineer and develop powerful AI technologies that other people can use.

Microsoft has constructed a 285,000 Processor Super Computer
Microsoft made an announcement last night during a keynote at 2020 Build Conference on an enormous OpenAI supercomputer that they have recently launched designed for the future of Artificial Intelligence according to Mr. Gab Villanueva
 
OpenAI’s goal with Microsoft in this initiative is not just to pursue research breakthroughs but also to engineer and develop powerful AI technologies that other people can use
 

Microsoft announces new supercomputer, lays out vision for future AI work

Tech giant Microsoft has built one of the top five publicly disclosed supercomputers in the world, making new infrastructure available in Azure to train extremely large artificial intelligence models, the company is announcing at its Build developers conference according to Jennifer Langston of the Ai Blog.

Built in collaboration with and exclusively for OpenAI, the supercomputer hosted in Azure was designed specifically to train that company’s AI models. It represents a key milestone in a partnership announced last year to jointly create new supercomputing technologies in Azure.

It’s also a first step toward making the next generation of very large AI models and the infrastructure needed to train them available as a platform for other organizations and developers to build upon.

A new class of multitasking AI models

Machine learning experts have historically built separate, smaller AI models that use many labeled examples to learn a single task such as translating between languages, recognizing objects, reading text to identify key points in an email or recognizing speech well enough to deliver today’s weather report when asked.

A new class of models developed by the AI research community has proven that some of those tasks can be performed better by a single massive model — one that learns from examining billions of pages of publicly available text, for example. This type of model can so deeply absorb the nuances of language, grammar, knowledge, concepts and context that it can excel at multiple tasks: summarizing a lengthy speech, moderating content in live gaming chats, finding relevant passages across thousands of legal files or even generating code from scouring GitHub.

As part of a companywide AI at Scale initiative, Microsoft has developed its own family of large AI models, the Microsoft Turing models, which it has used to improve many different language understanding tasks across Bing, Office, Dynamics and other productivity products.  Earlier this year, it also released to researchers the largest publicly available AI language model in the world, the Microsoft Turing model for natural language generation.

The goal, Microsoft says, is to make its large AI models, training optimization tools and supercomputing resources available through Azure AI services and GitHub so developers, data scientists and business customers can easily leverage the power of AI at Scale added Jennifer Langston of the Ai Blog from Microsoft.

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https://blogs.microsoft.com/ai/openai-azure-supercomputer/