查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1930300

微软 Azure - 全球人工智慧、运算、资料和量子处理器部署分析

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个工作天内

价格
简介目录

本报告全面分析了微软 Azure 的微软人工智慧加速器 (MAIA) 半导体专用积体电路 (ASIC) 的部署情况，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部署状态

  • 按地区划分
    • 北美
    • 拉丁美洲
    • 欧洲
    • 中东
    • 非洲
    • 亚太地区
  • 依各地区内的国家划分（共24个国家）
  • 依各地理区域内的城市/州划分（如适用）
  • 依ASIC产品类型和地区划分
    • Maia 100
    • Cobalt 100
    • Cobalt 200
    • Boost
    • Majorana 1

目录

  • 研究概述
  • 研究方法
  • 背景
  • 执行长摘要
  • 结论
  • 微软人工智慧加速器 (MAIA) 处理器分析
  • Maia200（2026 年 2 月发布）
  • 微软 Azure Cobalt 运算处理器单元 (CPU) 分析
  • 微软 Azure Boost 资料处理单元 (DPU) 分析
  • 微软 Azure Majorana 1 量子处理单元 (QPU) 分析
简介目录
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