1. Introduction
2. GPU cloud deployment landscape of cloud service providers
2.1 Cloud Service Providers Accelerate High-End GPU Procurement to Build AI Supercomputing Clusters
2.2 Major Cloud Service Providers Launch High-End GPU Instances to Meet Customer AI Computing Demands
3.Development of emerging gpu cloud providers
3.1 Regional Cloud Service Providers Collaborate with Nvidia to Develop GPU Cloud Applications
3.1.1 CoreWeave Partners with Nvidia to Deliver Enterprise GPU Accelerated Computing
3.1.2 Lambda Develops Both Public and Private Cloud Services, Offering Diverse GPU Cloud Solutions to Customers
3.1.3 Cirrascale Transitions from Blade Server Solutions Provider to Offering GPU Cloud for Deep Learning
3.1.4 Emergence of GPU Cloud Providers in Europe and Asia-Pacific, Delivering Regional AI Computing Services
3.2 Emerging GPU Cloud Providers Meet SMB Needs Through Service Models
4. Current Landscape of Data Center Hosting Providers and Server Brands
4.1 Nvidia Launches DGX-Ready Data Center Program to Facilitate Connections Between Enterprises and Hosting Providers
4.2 Server Brands Assist Clients in Deploying AI Server Clusters with Usage-Based Compute-as-a-Service Model
4.3 Nvidia Forms a Comprehensive GPU Cloud Service Ecosystem Through Partnerships at Various Stages
5. MIC Perspective
Appendix
List of Companies