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Silicon Showcase

Silicon Showcase™ is the global directory of semiconductor technologies, platforms and innovations from around the world.

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© 2026 Silicon Showcase™. All rights reserved.

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  1. Home
  2. /Technologies
  3. /Azure Maia 100

FIRST-GENERATION AZURE AI

First-generation Azure AI accelerator

105 BILLION TRANSISTORS

105 billion transistors on 5 nm, as described by Microsoft

APPLICATIONS

AI & HPC · Data Center

Silicon Showcase illustrative visual
Illustrative representation based on publicly available technical information.

FIRST-GENERATION AZURE AI

First-generation Azure AI accelerator

105 BILLION TRANSISTORS

105 billion transistors on 5 nm, as described by Microsoft

APPLICATIONS

AI & HPC · Data Center

Public source

Azure Maia 100

Compute & Accelerators

Azure Maia 100 is the first-generation accelerator described in Microsoft's Azure silicon posts: 105 billion transistors on 5 nm with advanced packaging, co-designed with Azure servers, networking and software for cloud AI workloads.

  • AI & HPC
  • Data Center
United StatesView Official Source (opens in a new tab)

Silicon Showcase illustrative visual
Illustrative representation based on publicly available technical information.

Overview

Azure Maia 100 is Microsoft's first in-house cloud AI accelerator: 105 billion transistors on 5 nm, for Azure training and inference.

This listing records Maia 100. Microsoft later announced Maia 200 as a separate inference accelerator; that chip is not this record.

Capabilities

Key characteristics associated with this technology.

  • First-generation Azure AI accelerator

  • 105 billion transistors on 5 nm, as described by Microsoft

  • Maia 100 only; Maia 200 is a later chip and is not this record

Organization

Microsoft

United States

View organization

Official resources

  • Azure Maia 100, from silicon to systemsazure.microsoft.com (opens in a new tab)

Source & disclosure

Independent discovery listing. This profile was prepared from publicly available information published by the organization. For the latest and complete technical information, refer to the official company source.

Official source

azure.microsoft.com (opens in a new tab)

Last source check

Sep 22, 2026

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