异构计算平台

本报告分析全球异构计算平台市场并提供以下信息。

报告好处：

• 了解异构计算平台以及现代工作负载为何需要它们来加速创新。
• 了解如何将主流异构计算应用到您的业务中，以及如何做好准备。
• 了解该技术领域提供的异构计算产品。

分析大纲：

• 异构计算概述和相关数据中心组件的技术概述。

主要问题的回答：

• 异构计算有什么好处？
• 异构计算对于在该领域运营的各种科技公司意味着什么？
• 各公司提供的异构计算产品有哪些？
• 不同产品的差异化因素是什么？

本报告提及的公司

目录

第 1 章执行摘要

第2章建议

第三章异构计算概述

• 背景和历史
• 现代工作负载：对技术的指数需求
• 移动设备上的异构计算
• 数据中心的高性能计算和异构计算

第四章异构计算框架

• 异构计算组件
• 边缘计算的连续体
• 异构计算的特点

第5章引入异构计算的优势和挑战

• 异构计算的好处
• 采用异构计算的挑战

第 6 章异构计算产品/活动/路线图

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

第7章 分析结果

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