According to the company, the Maia 200 is designed as an inference processor and promises up to 30% more performance per dollar than current Microsoft hardware. In addition, it is already being deployed in Azure data centers in the United States to power services such as Microsoft 365 Copilot, Foundry, and the latest GPT models from OpenAI.“It’s the most efficient inference system Microsoft has ever deployed,” said Scott Guthrie, Microsoft’s executive vice president of cloud and AI, in a blog post.
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These chips are also being integrated into data centers in the central region of the US and will subsequently reach those in the west and other locations. The chips use Taiwan Semiconductor Manufacturing Co.’s three-nanometer process. The tech company’s announcement comes amid a race to lead generative AI. The major cloud providers are struggling to develop their own microchips that do not depend exclusively on Nvidia, which leads the market. Amazon, Google, and now Microsoft’s releases increase competition in a booming market.

