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Data Center News > Blog > Global Market > Microsoft launches its second generation AI inference chip, Maia 200
Global Market

Microsoft launches its second generation AI inference chip, Maia 200

Last updated: January 27, 2026 7:14 am
Published January 27, 2026
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“In sensible phrases, Maia 200 can effortlessly run right this moment’s largest fashions, with loads of headroom for even larger fashions sooner or later,” Microsoft says.

Maia feeds information to fashions otherwise, too, by way of what Microsoft refers to as a redesigned reminiscence subsystem which encompasses a specialised direct reminiscence entry (DMA) engine and on-die static random-access reminiscence (SRAM), in addition to specialised network-on-chip (NoC) cloth. This all permits for high-bandwidth information motion whereas rising token throughput.

Designed for heterogeneity, multi-modal AI

Microsoft says it particularly designed Maia 200 with fashionable LLMs in thoughts; forward-thinking prospects, it says, are wanting not only for textual content prompts, however entry to multimodal capabilities (sound, photographs, video) that help deeper reasoning capabilities, multi-step brokers, and, finally, autonomous AI duties.

As a part of its heterogeneous AI infrastructure, Microsoft says that Maia 200 will serve a number of fashions, together with OpenAI’s newest GPT-5.2 household. It integrates seamlessly with Microsoft Azure, and Microsoft Foundry and Microsoft 365 Copilot may also profit from the chip. The corporate’s superintelligence staff additionally plans to make use of Maia 200 for reinforcement studying (RL) and artificial information era to enhance in-house fashions.

From a specification perspective, Maia 200 exceeds Amazon’s Trainium and Inferentia and Google’s TPU v4i and v5i, famous Scott Bickley, advisory fellow at Data-Tech Analysis Group. It’s produced on a 3nm node, versus the 7nm or 5nm nodes for the Amazon and Google chips, and it additionally shows superior efficiency in compute, interconnect, and reminiscence capabilities, he stated. 

Nonetheless, he famous, “whereas these numbers are spectacular, prospects ought to confirm precise efficiency inside the Azure stack previous to scaling out workloads away from Nvidia, for example.” They need to additionally be sure that a part of the 30% saving being realized by Microsoft is being handed by way of to the shopper through their Azure subscription costs, he added.

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TAGGED: Chip, generation, Inference, launches, Maia, Microsoft
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