異構計算平台

本報告分析全球異構計算平台市場並提供以下信息。

報告好處：

• 了解異構計算平台以及現代工作負載為何需要它們來加速創新。
• 了解如何將主流異構計算應用到您的業務中，以及如何做好準備。
• 了解該技術領域提供的異構計算產品。

分析大綱：

• 異構計算概述和相關數據中心組件的技術概述。

主要問題的回答：

• 異構計算有什麼好處？
• 異構計算對於在該領域運營的各種科技公司意味著什麼？
• 各公司提供的異構計算產品有哪些？
• 不同產品的差異化因素是什麼？

本報告提及的公司

目錄

第 1 章執行摘要

第2章建議

第三章異構計算概述

• 背景和歷史
• 現代工作負載：對技術的指數需求
• 移動設備上的異構計算
• 數據中心的高性能計算和異構計算

第四章異構計算框架

• 異構計算組件
• 邊緣計算的連續體
• 異構計算的特點

第5章引入異構計算的優勢和挑戰

• 異構計算的好處
• 採用異構計算的挑戰

第 6 章異構計算產品/活動/路線圖

• Amazon
• Microsoft Azure
• Google
• Intel
• NVIDIA
• Qualcomm
• Lenovo
• Marvell
• AMD/Xilinx

第7章 分析結果

Actionable Benefits:

• Gain an understanding of Heterogeneous Compute platforms and how modern workloads to need them to enable innovation to continue at pace.

• Gain an appreciation of how mainstream heterogeneous compute applies to your business use cases and how to prepare for adoption.

• Gain an understanding of the Heterogeneous Compute products that are offered in this technical domain.

Research Highlights:

• This paper sets out an overview of the Heterogeneous Computing landscape and provides a technical overview of the data center components that are involved.

Critical Questions Answered:

• What are the benefits of Heterogeneous Computing?

• What does Heterogeneous Computing mean to the different technology verticals that operate in this space?

• What Heterogeneous Computing products are offered by the different players?

• What differentiates the various products on offer?

Who Should Read This?

• CXO's and decision makers from an Enterprise that is planning to do business with modern AI and ML workloads, scientific computing or large scale data center deployments.

Companies Mentioned:

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. RECOMMENDATIONS

3. HETEROGENOUS COMPUTING OVERVIEW

• 3.1. Background and Historical Context
• 3.2. Modern Workloads Place Exponential Demands on Technology
• 3.3. Heterogeneous Computing in Mobile Devices
• 3.4. Heterogeneous Computing in High Performance Computing and Data Centers

4. HETEROGENEOUS COMPUTING FRAMEWORK

• 4.1. Heterogeneous Compute Components
• 4.2. Edge Computing Continuum
• 4.3. Heterogeneous Compute Capabilities

5. BENEFITS AND CHALLENGES OF HETEROGENEOUS COMPUTE ADOPTION

• 5.1. Benefits of Heterogeneous Compute
• 5.2. Challenges Associated with Heterogeneous Compute Adoption

6. HETEROGENEOUS COMPUTE PRODUCTS, ACTIVITIES, AND ROAD MAPS

• 6.1. Amazon
• 6.2. Microsoft Azure
• 6.3. Google
• 6.4. Intel
• 6.5. NVIDIA
• 6.6. Qualcomm
• 6.7. Lenovo
• 6.8. Marvell
• 6.9. AMD/Xilinx

7. CLOSING ANALYSIS