Nearly five years ago, a little-known company approached Microsoft with a special request to put together computing horsepower to the scale it had never done before. Find out more at 🚀 engineering interestingengineering
Nearly five years ago, a little-known company approached Microsoft with a special request to put together computing horsepower to the scale it had never done before. Microsoft then spent millions of dollars in putting together tens of thousands of powerful chips to build a supercomputer. OpenAI used this to train its large language model, GPT, and the rest, as they say, is history.that help users work more efficiently.
When training AI models, work is divided between the thousands of processing units that fire up at once, requiring meticulous power management. Beyond that, the processors also need to talk to one another to share the work done for which Microsoft had to write special software. Now that OpenAI has trained its model, the more significant hurdle lies in making it available to many users. Microsoft had also launched its
, an advanced version of the language model from OpenAI, and put users on a waitlist so that it can scale its servers before rolling out its service.Not just that, through its Azure AI services, Microsoft is also making the computing infrastructure available for other users to build their own AI models, requiring it to scale its resources even faster.
What Microsoft put together for OpenAI a few years ago has blown away users. What the company is building now is even bigger and more sophisticated than before. One can only imagine what exciting models it will bring out.
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