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Edge AI Cloud Platforms

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Traditionally, artificial Intelligence (AI) training and inference workload has been focused in the cloud. However, the competition among cloud AI service providers has been extremely fierce and this has led to commodization of cloud AI services. In response, cloud service providers have chosen to focus on edge AI cloud platform to differentiate their capabilities. The last 12 months have seen an explosion in activities around edge AI cloud products and services. 

Eight major cloud service providers, namely Amazon Web Services (AWS), Azure, Google, Huawei, Baidu, Alibaba, IBM, and Tencent, now have significant edge AI cloud platform offerings. Through edge AI cloud platforms, cloud service providers can support the implementation of AI applications at the edge, while at the same time encouraging customers to use complementary data center services for data management, training, and storage of AI models. These eight AI cloud platforms are compared based on their respective innovation and implementation. In terms of innovation, ABI Research looks at portfolio comprehensiveness, edge AI cloud platform features, AI development platform, edge hardware capabilities and unique innovations, while on implementation, the platforms are ranked based on market share, partnership, research spending and focus, customer support and price competitiveness. Key benefits and best practices of edge AI cloud platforms are also being discussed.

Table of Contents

Table of Contents

  • 1. EXECUTIVE SUMMARY
    • 1.1. List of Vendors and Ranking Methodology
  • 2. INTRODUCTION TO EDGE AI CLOUD PLATFORM
    • 2.1. Edge AI Cloud Platform Architecture
    • 2.2. Future Evolution
    • 2.3. Key Benefits of Edge AI Cloud Platform
  • 3. BEST PRACTICES FOR A SUCCESSFUL EDGE AI CLOUD PLATFORM OFFERING
  • 4. METHODOLOGY
  • 5. OVERVIEW
    • 5.1. Implementation
    • 5.2. Innovation
  • 6. VENDOR PROFILES
    • 6.1. LEADERS
    • 6.2. LAGGARDS
    • 6.3. FOLLOWERS