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Microsoft Launches Maia 200 AI Chip on 3-nm, Deployed in US Data Centres
Microsoft launches its second-generation in-house AI chip, Maia 200, along with a new software stack. The chip goes live in a Microsoft data centre in Iowa and is deployed in US data centres to compete with Nvidia’s AI chips and CUDA platform.
Maia 200 AI Chip (Microsoft):
| Dimension | Key Details |
|---|---|
| Developer | Maia 200 is developed by Microsoft as an in-house AI chip. |
| Generation | Maia 200 is Microsoft’s second-generation custom-built AI chip; original Maia is introduced in 2023. |
| Manufacturing | Taiwan Semiconductor Manufacturing Company (TSMC). |
| Process Technology | Built using 3-nanometer chipmaking technology. |
| Deployment | Live in a Microsoft data centre in Iowa; deployed in US data centres. |
| Deployment-Future | Deployment provides for rollout in Arizona. |
| Target Workloads | Designed for large-scale AI workloads such as chatbots and generative AI systems. |
| Rationale | Launch provides for reduced reliance on Nvidia and direct competition with Nvidia’s AI hardware and software ecosystem. |
| Memory Features | High-bandwidth memory (HBM) from an older generation than Nvidia’s latest designs and a large SRAM (Static Random Access Memory) capacity. |
| Software Stack | Microsoft bundles open-source software tools with Maia 200, including Triton; Triton is a programming framework with significant contributions from OpenAI and is designed to perform similar tasks to Nvidia’s CUDA. |
| Industry Trend | In-house AI chips are developed by major cloud players including Google and Amazon Web Services to compete with Nvidia. |
| Collaboration | Google has attracted interest from Meta Platforms, which is collaborating to narrow the software gap with Nvidia. |