Heterogeneous Computing Platforms

Price: Starting at USD 4,500
Publish Date: 19 Apr 2022
Code: AN-5454
Research Type: Research Report
Heterogeneous Computing Platforms
Actionable Benefits

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.
Critical Questions Answered

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?
Research Highlights

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.
Who Should Read This?

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.

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