AI Cost Reduction the New Chip Approach from Microsoft

Microsoft is developing Athena, a self-developed AI chip, to lessen its dependency on Nvidia and lower the cost of machine learning.

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Starting in 2019, the program seeks to reduce expenses by up to 33%.

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Cutting expenses is essential, as the daily operating costs of platforms such as ChatGPT exceed $700,000.

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The widespread implementation of AI-powered functionality in GitHub, Office, and Bing may be made possible by Microsoft's proprietary hardware.

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Prototypes of the microprocessor are now available for testing, and development is moving quickly.

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AI Cost Reduction the New Chip Approach from Microsoft

Microsoft is developing Athena, a self-developed AI chip, to lessen its dependency on Nvidia and lower the cost of machine learning.

Starting in 2019, the program seeks to reduce expenses by up to 33%.

Cutting expenses is essential, as the daily operating costs of platforms such as ChatGPT exceed $700,000.

The widespread implementation of AI-powered functionality in GitHub, Office, and Bing may be made possible by Microsoft's proprietary hardware.

Prototypes of the microprocessor are now available for testing, and development is moving quickly.

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