封面
市場調查報告書
商品編碼
1930300

微軟 Azure - 全球人工智慧、運算、資料和量子處理器部署分析

Microsoft Azure Global AI, Compute, Data, and Quantum Processor Deployment Analysis

出版日期: | 出版商: EJL Wireless Research | 英文 19 Pages, 17 Exhibits, 7 Tables | 商品交期: 最快1-2個工作天內

價格
簡介目錄

本報告全面分析了微軟 Azure 的微軟人工智慧加速器 (MAIA) 半導體專用積體電路 (ASIC) 的部署情況,包括已部署的 Maia 100 和 Maia 200,以及 Cobalt 100、Cobalt 200 CPU、Boost DPU 和 Majorana 1 QPU。

功能

ASIC部署狀態

  • 按地區劃分
    • 北美
    • 拉丁美洲
    • 歐洲
    • 中東
    • 非洲
    • 亞太地區
  • 依各地區內的國家劃分(共24個國家)
  • 依各地理區域內的城市/州劃分(如適用)
  • 依ASIC產品類型和地區劃分
    • Maia 100
    • Cobalt 100
    • Cobalt 200
    • Boost
    • Majorana 1

目錄

  • 研究概述
  • 研究方法
  • 背景
  • 執行長摘要
  • 結論
  • 微軟人工智慧加速器 (MAIA) 處理器分析
  • Maia200(2026 年 2 月發布)
  • 微軟 Azure Cobalt 運算處理器單元 (CPU) 分析
  • 微軟 Azure Boost 資料處理單元 (DPU) 分析
  • 微軟 Azure Majorana 1 量子處理單元 (QPU) 分析
簡介目錄
Product Code: AIxPU-AZUR-S-2026 or AIxPU-AZUR-E-2026

This report provides a comprehensive analysis of deployed and installed Microsoft Azure's Microsoft AI Accelerator (MAIA) semiconductor ASICs for the Maia 100 and Maia 200 as well as the Cobalt 100, Cobalt 200 CPUs, the Boost DPUs, and the Majorana 1 QPUs.

Features

ASIC Deployments

  • By geographic region
    • North America
    • Latin America
    • Europe
    • The Middle East
    • Africa
    • Asia Pacific
  • By Country in each geographic region (24 in total)
  • By City/State within each geographic region where applicable
  • By ASIC Product Type and by geographic region
    • Maia 100
    • Cobalt 100
    • Cobalt 200
    • Boost
    • Majorana 1

TABLE OF CONTENTS

  • RESEARCH BRIEF
  • Methodology
  • Background
  • EXECUTIVE SUMMARY
  • Conclusion
  • MICROSOFT AI ACCELERATOR (MAIA) PROCESSOR ANALYSIS
  • Maia 200 Released in February 2026
  • MICROSOFT AZURE COBALT COMPUTE PROCESSOR UNIT (CPU) ANALYSIS
  • MICROSOFT AZURE BOOST DATA PROCESSOR UNIT (DPU) ANALYSIS
  • MICROSOFT AZURE MAJORANA 1 QUANTUM PROCESSOR UNIT (QPU) ANALYSIS

TABLES

  • Table 1: Microsoft Azure Maia Processor Specifications by Generation
  • Table 2: Microsoft Azure Maia 100 Processors Installed by Geographic Location
  • Table 3: Microsoft Azure Cobalt Processor Specifications by Generation
  • Table 4: Microsoft Azure Cobalt 100 VM Server Deployments by Data Center
  • Table 5: Microsoft Azure Cobalt 200 VM Server Deployments by Data Center
  • Table 6: Microsoft Azure Boost Data Processor Specifications
  • Table 7: Microsoft Azure Majorana 1 QPU Deployments by Country/Region

EXHIBITS

  • Exhibit 1: Global Microsoft Azure Maia Processors Installed by Generation
  • Exhibit 2: Global Microsoft Azure Cobalt CPUs Installed by Generation
  • Exhibit 3: Global Microsoft Azure Majorana 1 QPUs Installed by Region
  • Exhibit 4: Microsoft Azure Maia 100 (Left) and Maia 200 (Right) Package Type
  • Exhibit 5: Global Microsoft Azure Maia 100 Processors Installed by Geographic Location
  • Exhibit 6: Microsoft Azure Cobalt 100 (Left) and Cobalt 200 (Right) Package Type
  • Exhibit 7: Microsoft Azure Quincy Washington Data Center with Cobalt 100 VMs Server Racks
  • Exhibit 8: Microsoft Azure Cobalt 200 Server Tray with Heatsinks
  • Exhibit 9: Microsoft Azure Cobalt 200 Server Tray without Heatsink (on right)
  • Exhibit 10: Microsoft Azure Cobalt 200 Server Tray without Package Lids
  • Exhibit 11: Microsoft Azure Boost DPU Package Type
  • Exhibit 12: Microsoft Azure Boost DPU Capabilities and Power Consumption Comparison
  • Exhibit 13: Microsoft Azure Boost Module
  • Exhibit 14: Microsoft Azure Majorana 1 Quantum Processor Module (Left) and 4x2 Tetron Array (Right)
  • Exhibit 15: Installation of Majorana 1 QPU Module into Dilution Refrigerator
  • Exhibit 16: Microsoft Azure Majorana 1 QPU Deployments by Country
  • Exhibit 17: Microsoft Azure Majorana 1 QPU Deployments in the United States