The global market for GPU Computing Power Rental was valued at US$ 5912 million in the year 2024 and is projected to reach a revised size of US$ 23620 million by 2031, growing at a CAGR of 21.4% during the forecast period.
GPU Computing Power Rental refers to the service of leasing graphics processing unit (GPU) resources from cloud providers or data centers to perform high-performance computing (HPC) tasks. Instead of purchasing expensive GPU hardware, users can rent GPU power on-demand for tasks requiring massive parallel processing capabilities.
North American market for GPU Computing Power Rental is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for GPU Computing Power Rental is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for GPU Computing Power Rental in Medium and Large Companies is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of GPU Computing Power Rental include AWS, Oracle, Lepton AI, JarvisLabs.ai, Xesktop, Levita, GPU Mart, Leadergpu, Aethir, Runpod, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for GPU Computing Power Rental, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding GPU Computing Power Rental.
The GPU Computing Power Rental market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global GPU Computing Power Rental market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the GPU Computing Power Rental companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
AWS
Oracle
Lepton AI
JarvisLabs.ai
Xesktop
Levita
GPU Mart
Leadergpu
Aethir
Runpod
Aricoma
Ionet
Deep Learning Rental LLC (DLR)
Alibaba Cloud
Dr.peng Telecom & Media Group
Shanghai Gencong Information Technology
Suzhou Super Cluster Information Technologies
China Bester Group Telecom
OpenBayes
Chengdu Jiyun Tianxia Technology
Hangzhou Houde Cloud Computing
AutoDL
AnyGPU
OneThingAI
GMI Cloud
Beijing Yuanjie Cloud Computing Technology
DAMODEL
Guizhou Suojia Computing Services
Guangzhou Xinglin Information Technology
9gpu
Shenzhen Jiezhi Computing Technology
Segment by Type
Billing by Duration
Monthly/Annual
Segment by Application
Medium and Large Companies
Small Companies
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of GPU Computing Power Rental company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global GPU Computing Power Rental Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Billing by Duration
1.2.3 Monthly/Annual
1.3 Market by Application
1.3.1 Global GPU Computing Power Rental Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Medium and Large Companies
1.3.3 Small Companies
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global GPU Computing Power Rental Market Perspective (2020-2031)
2.2 Global GPU Computing Power Rental Growth Trends by Region
2.2.1 Global GPU Computing Power Rental Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 GPU Computing Power Rental Historic Market Size by Region (2020-2025)
2.2.3 GPU Computing Power Rental Forecasted Market Size by Region (2026-2031)
2.3 GPU Computing Power Rental Market Dynamics
2.3.1 GPU Computing Power Rental Industry Trends
2.3.2 GPU Computing Power Rental Market Drivers
2.3.3 GPU Computing Power Rental Market Challenges
2.3.4 GPU Computing Power Rental Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top GPU Computing Power Rental Players by Revenue
3.1.1 Global Top GPU Computing Power Rental Players by Revenue (2020-2025)
3.1.2 Global GPU Computing Power Rental Revenue Market Share by Players (2020-2025)
3.2 Global Top GPU Computing Power Rental Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by GPU Computing Power Rental Revenue
3.4 Global GPU Computing Power Rental Market Concentration Ratio
3.4.1 Global GPU Computing Power Rental Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by GPU Computing Power Rental Revenue in 2024
3.5 Global Key Players of GPU Computing Power Rental Head office and Area Served
3.6 Global Key Players of GPU Computing Power Rental, Product and Application
3.7 Global Key Players of GPU Computing Power Rental, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 GPU Computing Power Rental Breakdown Data by Type
4.1 Global GPU Computing Power Rental Historic Market Size by Type (2020-2025)
4.2 Global GPU Computing Power Rental Forecasted Market Size by Type (2026-2031)
5 GPU Computing Power Rental Breakdown Data by Application
5.1 Global GPU Computing Power Rental Historic Market Size by Application (2020-2025)
5.2 Global GPU Computing Power Rental Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America GPU Computing Power Rental Market Size (2020-2031)
6.2 North America GPU Computing Power Rental Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America GPU Computing Power Rental Market Size by Country (2020-2025)
6.4 North America GPU Computing Power Rental Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe GPU Computing Power Rental Market Size (2020-2031)
7.2 Europe GPU Computing Power Rental Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe GPU Computing Power Rental Market Size by Country (2020-2025)
7.4 Europe GPU Computing Power Rental Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific GPU Computing Power Rental Market Size (2020-2031)
8.2 Asia-Pacific GPU Computing Power Rental Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific GPU Computing Power Rental Market Size by Region (2020-2025)
8.4 Asia-Pacific GPU Computing Power Rental Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America GPU Computing Power Rental Market Size (2020-2031)
9.2 Latin America GPU Computing Power Rental Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America GPU Computing Power Rental Market Size by Country (2020-2025)
9.4 Latin America GPU Computing Power Rental Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa GPU Computing Power Rental Market Size (2020-2031)
10.2 Middle East & Africa GPU Computing Power Rental Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa GPU Computing Power Rental Market Size by Country (2020-2025)
10.4 Middle East & Africa GPU Computing Power Rental Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 AWS
11.1.1 AWS Company Details
11.1.2 AWS Business Overview
11.1.3 AWS GPU Computing Power Rental Introduction
11.1.4 AWS Revenue in GPU Computing Power Rental Business (2020-2025)
11.1.5 AWS Recent Development
11.2 Oracle
11.2.1 Oracle Company Details
11.2.2 Oracle Business Overview
11.2.3 Oracle GPU Computing Power Rental Introduction
11.2.4 Oracle Revenue in GPU Computing Power Rental Business (2020-2025)
11.2.5 Oracle Recent Development
11.3 Lepton AI
11.3.1 Lepton AI Company Details
11.3.2 Lepton AI Business Overview
11.3.3 Lepton AI GPU Computing Power Rental Introduction
11.3.4 Lepton AI Revenue in GPU Computing Power Rental Business (2020-2025)
11.3.5 Lepton AI Recent Development
11.4 JarvisLabs.ai
11.4.1 JarvisLabs.ai Company Details
11.4.2 JarvisLabs.ai Business Overview
11.4.3 JarvisLabs.ai GPU Computing Power Rental Introduction
11.4.4 JarvisLabs.ai Revenue in GPU Computing Power Rental Business (2020-2025)
11.4.5 JarvisLabs.ai Recent Development
11.5 Xesktop
11.5.1 Xesktop Company Details
11.5.2 Xesktop Business Overview
11.5.3 Xesktop GPU Computing Power Rental Introduction
11.5.4 Xesktop Revenue in GPU Computing Power Rental Business (2020-2025)
11.5.5 Xesktop Recent Development
11.6 Levita
11.6.1 Levita Company Details
11.6.2 Levita Business Overview
11.6.3 Levita GPU Computing Power Rental Introduction
11.6.4 Levita Revenue in GPU Computing Power Rental Business (2020-2025)
11.6.5 Levita Recent Development
11.7 GPU Mart
11.7.1 GPU Mart Company Details
11.7.2 GPU Mart Business Overview
11.7.3 GPU Mart GPU Computing Power Rental Introduction
11.7.4 GPU Mart Revenue in GPU Computing Power Rental Business (2020-2025)
11.7.5 GPU Mart Recent Development
11.8 Leadergpu
11.8.1 Leadergpu Company Details
11.8.2 Leadergpu Business Overview
11.8.3 Leadergpu GPU Computing Power Rental Introduction
11.8.4 Leadergpu Revenue in GPU Computing Power Rental Business (2020-2025)
11.8.5 Leadergpu Recent Development
11.9 Aethir
11.9.1 Aethir Company Details
11.9.2 Aethir Business Overview
11.9.3 Aethir GPU Computing Power Rental Introduction
11.9.4 Aethir Revenue in GPU Computing Power Rental Business (2020-2025)
11.9.5 Aethir Recent Development
11.10 Runpod
11.10.1 Runpod Company Details
11.10.2 Runpod Business Overview
11.10.3 Runpod GPU Computing Power Rental Introduction
11.10.4 Runpod Revenue in GPU Computing Power Rental Business (2020-2025)
11.10.5 Runpod Recent Development
11.11 Aricoma
11.11.1 Aricoma Company Details
11.11.2 Aricoma Business Overview
11.11.3 Aricoma GPU Computing Power Rental Introduction
11.11.4 Aricoma Revenue in GPU Computing Power Rental Business (2020-2025)
11.11.5 Aricoma Recent Development
11.12 Ionet
11.12.1 Ionet Company Details
11.12.2 Ionet Business Overview
11.12.3 Ionet GPU Computing Power Rental Introduction
11.12.4 Ionet Revenue in GPU Computing Power Rental Business (2020-2025)
11.12.5 Ionet Recent Development
11.13 Deep Learning Rental LLC (DLR)
11.13.1 Deep Learning Rental LLC (DLR) Company Details
11.13.2 Deep Learning Rental LLC (DLR) Business Overview
11.13.3 Deep Learning Rental LLC (DLR) GPU Computing Power Rental Introduction
11.13.4 Deep Learning Rental LLC (DLR) Revenue in GPU Computing Power Rental Business (2020-2025)
11.13.5 Deep Learning Rental LLC (DLR) Recent Development
11.14 Alibaba Cloud
11.14.1 Alibaba Cloud Company Details
11.14.2 Alibaba Cloud Business Overview
11.14.3 Alibaba Cloud GPU Computing Power Rental Introduction
11.14.4 Alibaba Cloud Revenue in GPU Computing Power Rental Business (2020-2025)
11.14.5 Alibaba Cloud Recent Development
11.15 Dr.peng Telecom & Media Group
11.15.1 Dr.peng Telecom & Media Group Company Details
11.15.2 Dr.peng Telecom & Media Group Business Overview
11.15.3 Dr.peng Telecom & Media Group GPU Computing Power Rental Introduction
11.15.4 Dr.peng Telecom & Media Group Revenue in GPU Computing Power Rental Business (2020-2025)
11.15.5 Dr.peng Telecom & Media Group Recent Development
11.16 Shanghai Gencong Information Technology
11.16.1 Shanghai Gencong Information Technology Company Details
11.16.2 Shanghai Gencong Information Technology Business Overview
11.16.3 Shanghai Gencong Information Technology GPU Computing Power Rental Introduction
11.16.4 Shanghai Gencong Information Technology Revenue in GPU Computing Power Rental Business (2020-2025)
11.16.5 Shanghai Gencong Information Technology Recent Development
11.17 Suzhou Super Cluster Information Technologies
11.17.1 Suzhou Super Cluster Information Technologies Company Details
11.17.2 Suzhou Super Cluster Information Technologies Business Overview
11.17.3 Suzhou Super Cluster Information Technologies GPU Computing Power Rental Introduction
11.17.4 Suzhou Super Cluster Information Technologies Revenue in GPU Computing Power Rental Business (2020-2025)
11.17.5 Suzhou Super Cluster Information Technologies Recent Development
11.18 China Bester Group Telecom
11.18.1 China Bester Group Telecom Company Details
11.18.2 China Bester Group Telecom Business Overview
11.18.3 China Bester Group Telecom GPU Computing Power Rental Introduction
11.18.4 China Bester Group Telecom Revenue in GPU Computing Power Rental Business (2020-2025)
11.18.5 China Bester Group Telecom Recent Development
11.19 OpenBayes
11.19.1 OpenBayes Company Details
11.19.2 OpenBayes Business Overview
11.19.3 OpenBayes GPU Computing Power Rental Introduction
11.19.4 OpenBayes Revenue in GPU Computing Power Rental Business (2020-2025)
11.19.5 OpenBayes Recent Development
11.20 Chengdu Jiyun Tianxia Technology
11.20.1 Chengdu Jiyun Tianxia Technology Company Details
11.20.2 Chengdu Jiyun Tianxia Technology Business Overview
11.20.3 Chengdu Jiyun Tianxia Technology GPU Computing Power Rental Introduction
11.20.4 Chengdu Jiyun Tianxia Technology Revenue in GPU Computing Power Rental Business (2020-2025)
11.20.5 Chengdu Jiyun Tianxia Technology Recent Development
11.21 Hangzhou Houde Cloud Computing
11.21.1 Hangzhou Houde Cloud Computing Company Details
11.21.2 Hangzhou Houde Cloud Computing Business Overview
11.21.3 Hangzhou Houde Cloud Computing GPU Computing Power Rental Introduction
11.21.4 Hangzhou Houde Cloud Computing Revenue in GPU Computing Power Rental Business (2020-2025)
11.21.5 Hangzhou Houde Cloud Computing Recent Development
11.22 AutoDL
11.22.1 AutoDL Company Details
11.22.2 AutoDL Business Overview
11.22.3 AutoDL GPU Computing Power Rental Introduction
11.22.4 AutoDL Revenue in GPU Computing Power Rental Business (2020-2025)
11.22.5 AutoDL Recent Development
11.23 AnyGPU
11.23.1 AnyGPU Company Details
11.23.2 AnyGPU Business Overview
11.23.3 AnyGPU GPU Computing Power Rental Introduction
11.23.4 AnyGPU Revenue in GPU Computing Power Rental Business (2020-2025)
11.23.5 AnyGPU Recent Development
11.24 OneThingAI
11.24.1 OneThingAI Company Details
11.24.2 OneThingAI Business Overview
11.24.3 OneThingAI GPU Computing Power Rental Introduction
11.24.4 OneThingAI Revenue in GPU Computing Power Rental Business (2020-2025)
11.24.5 OneThingAI Recent Development
11.25 GMI Cloud
11.25.1 GMI Cloud Company Details
11.25.2 GMI Cloud Business Overview
11.25.3 GMI Cloud GPU Computing Power Rental Introduction
11.25.4 GMI Cloud Revenue in GPU Computing Power Rental Business (2020-2025)
11.25.5 GMI Cloud Recent Development
11.26 Beijing Yuanjie Cloud Computing Technology
11.26.1 Beijing Yuanjie Cloud Computing Technology Company Details
11.26.2 Beijing Yuanjie Cloud Computing Technology Business Overview
11.26.3 Beijing Yuanjie Cloud Computing Technology GPU Computing Power Rental Introduction
11.26.4 Beijing Yuanjie Cloud Computing Technology Revenue in GPU Computing Power Rental Business (2020-2025)
11.26.5 Beijing Yuanjie Cloud Computing Technology Recent Development
11.27 DAMODEL
11.27.1 DAMODEL Company Details
11.27.2 DAMODEL Business Overview
11.27.3 DAMODEL GPU Computing Power Rental Introduction
11.27.4 DAMODEL Revenue in GPU Computing Power Rental Business (2020-2025)
11.27.5 DAMODEL Recent Development
11.28 Guizhou Suojia Computing Services
11.28.1 Guizhou Suojia Computing Services Company Details
11.28.2 Guizhou Suojia Computing Services Business Overview
11.28.3 Guizhou Suojia Computing Services GPU Computing Power Rental Introduction
11.28.4 Guizhou Suojia Computing Services Revenue in GPU Computing Power Rental Business (2020-2025)
11.28.5 Guizhou Suojia Computing Services Recent Development
11.29 Guangzhou Xinglin Information Technology
11.29.1 Guangzhou Xinglin Information Technology Company Details
11.29.2 Guangzhou Xinglin Information Technology Business Overview
11.29.3 Guangzhou Xinglin Information Technology GPU Computing Power Rental Introduction
11.29.4 Guangzhou Xinglin Information Technology Revenue in GPU Computing Power Rental Business (2020-2025)
11.29.5 Guangzhou Xinglin Information Technology Recent Development
11.30 9gpu
11.30.1 9gpu Company Details
11.30.2 9gpu Business Overview
11.30.3 9gpu GPU Computing Power Rental Introduction
11.30.4 9gpu Revenue in GPU Computing Power Rental Business (2020-2025)
11.30.5 9gpu Recent Development
11.31 Shenzhen Jiezhi Computing Technology
11.31.1 Shenzhen Jiezhi Computing Technology Company Details
11.31.2 Shenzhen Jiezhi Computing Technology Business Overview
11.31.3 Shenzhen Jiezhi Computing Technology GPU Computing Power Rental Introduction
11.31.4 Shenzhen Jiezhi Computing Technology Revenue in GPU Computing Power Rental Business (2020-2025)
11.31.5 Shenzhen Jiezhi Computing Technology Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
AWS
Oracle
Lepton AI
JarvisLabs.ai
Xesktop
Levita
GPU Mart
Leadergpu
Aethir
Runpod
Aricoma
Ionet
Deep Learning Rental LLC (DLR)
Alibaba Cloud
Dr.peng Telecom & Media Group
Shanghai Gencong Information Technology
Suzhou Super Cluster Information Technologies
China Bester Group Telecom
OpenBayes
Chengdu Jiyun Tianxia Technology
Hangzhou Houde Cloud Computing
AutoDL
AnyGPU
OneThingAI
GMI Cloud
Beijing Yuanjie Cloud Computing Technology
DAMODEL
Guizhou Suojia Computing Services
Guangzhou Xinglin Information Technology
9gpu
Shenzhen Jiezhi Computing Technology
听
听
*If Applicable.
