GPU Cloud Development Trends and Key Players in the Era of LLM and GenAI

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.

Companies Mentioned
3DS Outscale
Africa Data Centres
Aligned
Amazon
AMD
Aolani Cloud
Aperia
atNorth
AUBix
Bulk
Cerebras
Cirrascale
Clusterpower
Colovore
CoreWeave
Cudo Compute
CyrusOne
Cyxtera
DataCrunch
DataSpace
Digital Realty
DigitalOcean
E2E Networks
Ebb3
EdgeConnex
Equinix
Exaion
Firmus Technologies
Flexential
FPT Smart Cloud
Freyr
Fujitsu
Gcore
GDEP Advance
Genesis Cloud
Google
Green node
GreenNode
GTS
HighRes
IBM
IDC Frontier
Inspur
Intel
Ionos
Kao Data
Lambda
Latitude.sh
Lenovo
Lintasarta
Massed Compute
MegaSpeed.Ai
Meta
Microsoft
Naver
Nebius
Nebul
NEC
NexGen Cloud
NTT DoCoMo
Nvidia
Oblivus Cloud
Oman Data Park
Open AI
Oracle
OVHcloud
OWS
QTS
Qualcomm
RunPod
RunSun Cloud
Rutilea
ScaleMatrix
Scaleway
Serverfarm
SIAM AI
Sify
SMC
SoftBank
Sony
Stack
Supermicro Computer
Taiga cloud
TensorDock
Teraco
Tesla
THG
Vantage
Vast.ai
Verne Global
xAmplify
Xeureka
xFusion
Table of Contents
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

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: CoreWeaves 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 Cirrascales 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

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