Report Details Microsoft’s 100+ CPU DPU QPU Deployments by City

A new market intelligence report details over 100 deployments of Microsoft’s custom silicon across the globe, offering a granular view of the company’s expanding processor footprint. The research analyzes the geographic distribution of Microsoft’s Maia 100 and 200 AI accelerators, alongside Cobalt 100 and 200 CPUs, Boost DPUs, and the Majorana 1 quantum processing unit. Covering 24 countries, the report assesses Microsoft Azure’s infrastructure strategy as demand surges for artificial intelligence, cloud-native processing, and quantum computing. Designed for stakeholders in the semiconductor industry, the analysis examines Microsoft’s hardware investments.

This is about building a vertically integrated hardware stack to optimize performance and potentially reduce reliance on third-party semiconductor vendors. The report highlights the February 2026 release of the Maia 200, suggesting a rapid iteration cycle for Microsoft’s accelerator designs. The analysis is granular, covering 24 countries and, where possible, pinpointing deployments to the city or state level. This geographic detail allows for a more nuanced understanding of where Microsoft is prioritizing investment in compute capacity and how it’s distributing resources to meet regional demand for AI services.

Data is segmented by processor type and geographic region, enabling comparisons of adoption rates for each platform; tables within the report detail Microsoft Azure Maia 100 processors installed by geographic location, alongside specifications for both Maia generations and the Cobalt CPUs. The report states that “by combining global, national and selected city- or state-level data, the research presents a concise but comprehensive account of Microsoft’s semiconductor deployment landscape,” emphasizing the value of this detailed mapping for stakeholders. The inclusion of data on the Majorana 1 QPU, while currently limited in scale, signals Microsoft’s long-term commitment to quantum computing and its integration into the Azure ecosystem. The report’s value extends beyond cataloging hardware; it provides information for those tracking hyperscale data center expansion and custom cloud processors. Analysis of the Boost DPUs, for example, reveals details of their capabilities and power consumption, offering insights into Microsoft’s approach to accelerated networking.

Visual exhibits showcase package types and server rack configurations, providing a tangible view of the deployed hardware. According to the report, “the product-level assessment supports comparative analysis across AI acceleration, cloud computing, networking infrastructure and quantum processing,” suggesting a holistic view of Microsoft’s silicon strategy. Ultimately, the analysis provides a clearer perspective on the scale and composition of Azure’s processor ecosystem as Microsoft continues to invest in proprietary technologies.