GPU Cloud Development Trends and Key Players in the Era of LLM and GenAI (pre-order)

Description

List of Tables

As Generative AI (GenAI) and Large Language Models (LLMs) continue to evolve, global demand for GPU computing power is surging, propelling the growth of the GPU cloud market. This report explores four key players in the GPU Cloud service market: cloud service providers, emerging GPU Cloud providers, data center hosting providers, and server brands. It also examines their current developments, GPU power deployment strategies, and the competitive dynamics among stakeholders.

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

Product Code: NARPT24102301

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

Product Code: NARPT24102301

List of Tables

Table 1: Comparison of Offerings from Major Cloud Service Providers
Table 2: Price Comparison of Emerging GPU Cloud Providers

List of Figures

Figure 1: Nvidia GPU Cloud Partners By Region and Service Type
Figure 2: CoreWeave's GPU Cloud Services Utilizing Container Technology
Figure 3: Lambda’s GPU Cloud Services Powered by AI Server Clusters
Figure 4: Four AI Computing Rental Services Offered by Cirrascale's AI Innovation Cloud
Figure 5: Distribution Map of Nvidia Cloud Partners in Europe
Figure 6: Distribution Map of Nvidia Cloud Partners in Asia-Pacific
Figure 7: Nvidia DGX-Ready Data Center Hosting Partners
Figure 8: GPU Cloud Market Service Workflow

GPU Cloud Development Trends and Key Players in the Era of LLM and GenAI (pre-order)

Description

Table of Contents

List of Tables

Table of Contents

1. Introduction

2. GPU cloud deployment landscape of cloud service providers

3.Development of emerging gpu cloud providers

4. Current Landscape of Data Center Hosting Providers and Server Brands

5. MIC Perspective

Appendix

Table of Contents

1. Introduction

2. GPU cloud deployment landscape of cloud service providers

3.Development of emerging gpu cloud providers

4. Current Landscape of Data Center Hosting Providers and Server Brands

5. MIC Perspective

Appendix

List of Tables

List of Figures