Microsoft plans to unveil its new Maia 300 AI chip this fall: The Information

Microsoft ​is ​planning to publicly unveil ‌its ⁠new ⁠Maia ​300 chip this ​fall, potentially ​as ⁠soon as ‌next ​month, ​The ⁠Information reported on ​Monday, citing ​people with direct ‌knowledge of ​the ​plans.

Agencies
Microsoft is planning to unveil its new Maia 300 AI chip this fall, potentially as soon as next month, The Information reported on Monday, citing people with direct knowledge of the plans.

The company introduced its Maia AI chip in November 2023 but has ‌lagged rivals ⁠such as ⁠Alphabet and Amazon in scaling up its in-house chip efforts as it seeks ​to reduce its reliance on Nvidia's costly processors.

Google began recognizing revenue from direct ​sales of its custom AI chips, called Tensor Processing Units, in the quarter ended June, while Amazon has also seen growing adoption ​of its processors, including its Trainium chips.


Microsoft has ⁠been in ‌talks with chipmaker TSMC to secure manufacturing capacity ​for more ​than 300,000 units of the chip for delivery ⁠in 2027, according to the report. It is also looking ​to significantly ramp up production and persuade ​major cloud customers such as Anthropic to adopt the chip.

"Microsoft continues to invest in custom silicon as part of our long-term AI infrastructure strategy. While we don't share production volumes, the figures reported don't reflect the scale of our program," said Andrew Wall, ‌general manager for Microsoft's Azure Maia.

TSMC could not be reached for comment outside regular business hours.
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Microsoft ultimately aims to ​secure capacity ​for more than ⁠1 million Maia 300 chips, though component supplies and ongoing capacity negotiations with TSMC could constrain its plans, according to the report.

It unveiled its ​second-generation Maia 200 in January, built by TSMC using 3-nanometer technology.

Microsoft packed the chip with a significant amount of SRAM, a type of memory that can provide speed advantages for AI systems handling large numbers of user requests.
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