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GPU as a Service Market Size, Share & Industry Trends Analysis Report By Enterprise Type (Large Enterprises and Small & Medium Enterprises), By Deployment Type (Private, Public, and Hybrid), By Application, By Regional Outlook and Forecast, 2023 - 2030

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    Report

  • 257 Pages
  • August 2023
  • Region: Global
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5886903
The Global GPU as a Service Market size is expected to reach $22.4 billion by 2030, rising at a market growth of 34.9% CAGR during the forecast period.

GPUaaS providers allow automotive manufacturers to boost their research, development, and testing procedures. The demand for GPUaaS in computer vision and pattern recognition, signal processing, infotainment graphics, and automobile networking applications will rise as autonomous technology advances. Hence, the automotive segment would generate approximately 1/4thshare of the market by 2030. It has encouraged market participants to create new GPU products for automotive applications. Without making significant investments in specialized hardware, GPUaaS providers give automotive manufacturers scalable, on-demand access to high-performance GPUs. By utilizing GPUaaS, automakers could transform the automobile industry by improving vehicle design, enhancing safety features, maximizing fuel efficiency, and rapidly bringing cutting-edge autonomous technology to consumers.



The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In May, 2023, Vultr teamed up with Console Connect to provide organizations and developers from all over the world with a secure, direct connection to our cloud servers. In September, 2019, Alibaba Cloud joined hands with Ubitus to offer a quick solution to turn games into video streaming, promote the greatest gaming environment, and greatly increase global multi-screen revenue by integrating Alibaba Cloud with Ubitus GPU public cloud gaming solutions.

The Cardinal Matrix - Market Competition Analysis

Based on the analysis presented in the The Cardinal Matrix; Google LLC is the forerunner in the Market. In February, 2023, Google entered into a partnership with Anthropic to utilize Anthropic capabilities in providing cloud-driven solutions. Companies such as Alibaba Cloud, IBM Corporation, Linode LLC are some of the key innovators in the Market.



Market Growth Factors

Growth In the Number of Applications

Recent years have experienced the rising popularity of GPU high-performance computing, self-driving cars, and other superior AI applications. GPUs are used with server CPUs to accelerate applications and enhance performance while cloud computing usage grows. Growth potential has been produced by the GPUaaS's operational features and ability to be customized. The expanding need for more powerful computing drives research and development for enhanced and efficient GPUs. Additionally, it is anticipated that the growing acceptance of virtualization and remote work will encourage market expansion further.

Expanding Gaming Industries

Market players in the gaming sector have been prompted to emphasize device compatibility and efficiency as they shift their attention from physical to online gaming. The development of 5G technology has reduced the current challenges with online gaming, such as lag, by providing a better cloud streaming experience, as 5G latency is much lower than that of 4G. A significant factor in the expansion of the video game industry has been the growing popularity of video games among young adults worldwide. Thus, in the coming years, the market expansion will be accelerated by an increase in disposable income and significant spending on gaming applications.

Market Restraining Factors

Existing Concerns About Vendor Lock-In

Due to the lack of standards, vendor lock-in is a significant obstacle to adopting GPUaaS. The vendor lock-in issue has been tackled primarily through advances in technology. Numerous studies don't analyze and demonstrate the complexity of the vendor lock-in issue in the cloud context. The majority of consumers thus remain unaware of the proprietary standards that limit the portability and interoperability of applications when they purchase services from suppliers. The concerns regarding the existing vendor-lock-in may constrain the expansion of the market.



The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.

Enterprise Type Outlook

Based on enterprise type, the market is fragmented into small & medium-sized enterprises and large enterprises. In 2022, the large enterprises segment held the highest revenue share in the market. The virtual desktop infrastructure of large enterprises may be improved by GPU as a service, giving employees better graphics performance and support for employment opportunities requiring a visual-intensive application. A GPU infrastructure requires a lot of resources to manage and maintain. GPUaaS solutions relieve companies from the administrative tasks of controlling, preserving, and upgrading their hardware.

Deployment Type Outlook

On the basis of deployment type, the market is segmented into private, public, and hybrid. The hybrid segment acquired a substantial revenue share in the market in 2022. The benefits of both delivery models are provided to users via this solution, which combines private cloud and on-premise GPU technology. Organizations like Intel, AMD, and NVIDIA offer computing systems with GPU support to scale data-intensive computation. Customers have the alternative of maintaining some systems and data internally while utilizing external services via a hybrid cloud.



Application Type Outlook

By application, the market is classified into healthcare, BFSI, manufacturing, telecom & IT, automotive, and others. In 2022, the telecom and IT segment registered the highest revenue share in the market. IT and telecom firms produce large amounts of data that companies utilize to learn more and enhance their offerings. GPUaaS provides the computational capacity needed for sophisticated data analytics and machine learning. GPUaaS can be utilized in the telecommunications industry for network optimization activities.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2022, the North America region witnessed the largest revenue share in the market. The industrial sector in North America is extremely susceptible to integrating AI, IoT, and robotics technology because this region is one of the earliest to accept new technologies. By designing and simulating advanced technology goods, including IoT devices, AI chipsets, and industrial robots employing GPU technology, market participants in the region are encouraging market growth.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon Web Services, Inc. (Amazon.com, Inc.), Google LLC (Alphabet Inc.), IBM Corporation, Alibaba Cloud (Alibaba Group Holding Limited), Lambda Inc., Hewlett Packard Enterprise Company (HP Development Company L.P.), Linode LLC (Akamai Technologies, Inc.), CoreWeave, Inc., Vultr (The Constant Company, LLC), and OVH Groupe S.A

Strategies Deployed in the Market

Partnerships, Collaborations and Agreements:

  • May-2023: Vultr teamed up with Console Connect, a leading Network-as-a-Service (NaaS) platform. Businesses can connect directly to Vultr servers from more than 900 data center locations across more than 50 nations thanks to Vultr's integration with the Console Connect platform in several geographic areas. Through this partnership, the company would be able to provide organizations and developers from all over the world with a secure, direct connection to our cloud servers, as well as the fastest connectivity and quality of service.
  • Feb-2023: Vultr formed a partnership with Bharti Airtel, India’s leading communications solutions provider. With 30 cloud data center locations worldwide, including three in Airtel data centers in India, Vultr offers unmatched price-to-performance and a global footprint. Vultr is the perfect platform for driving corporate transformation and digital success when combined with Airtel's unrivaled connectivity and managed services capabilities.
  • Feb-2023: Google entered into a partnership with Anthropic, an AI-based startup to develop reliable and Credible AI systems. This partnership would enable Google to utilize Anthropic capabilities in providing cloud-driven solutions and integrate with Google's expertise in the training and deployment of AI systems, to build AI-enabled systems.

Product Launches and Product Expansions:

  • Feb-2023: Vultr released Cloud GPU availability of the NVIDIA A16, the premier graphics processing unit (GPU) for virtual desktop infrastructure (VDI). The NVIDIA A16 delivers a user experience for remote employees that is almost identical to that of a native PC because it is specifically designed for high-density, graphics-rich VDI. The NVIDIA A16 expands the company's efforts to democratize access to accelerated computing by joining the NVIDIA A100 Tensor Core GPU and NVIDIA A40 in the Vultr portfolio.
  • May-2022: Vultr today announced that Vultr Talon, powered by NVIDIA GPUs and NVIDIA AI Enterprise software, is now available in beta. A breakthrough cloud-based platform, Vultr Talon offers affordable accelerated computing by enabling GPU sharing, so multiple workloads can efficiently run on a single NVIDIA GPU.

Acquisitions and Mergers:

  • Aug-2023: IBM took over Apptio Inc., a technology business management (TBM) software as a service (SaaS) application. The combination of Apptio products and IBM's IT automation portfolio will give businesses a 360-degree technology management platform they can use to optimize and automate decisions across their IT landscapes.
  • May-2023: IBM Corporation took over Polar Security, a cloud security solutions provider. The acquisition strengthens IBM's AI and hybrid cloud capabilities.
  • Jan-2023: CoreWeave Inc. completed the acquisition of Conductor Technologies Inc., a provider of rendering software, to expand its product portfolio. With this acquisition, the company would enhance its portfolio by integrating Conductor's offering with CoreWeave’s GPU-optimized cloud platform.

Geographical Expansions:

  • May-2023: Vultr expanded its footprint by opening a data center in Tel Aviv, Israel. This expansion would offer democratized access to cloud infrastructure for the nation's expanding tech sector. With the addition of Tel Aviv and its brand-new location in Manchester, England, the company would boost its pace of international growth.
  • Sep-2022: With the launch of two new data centers in Bangalore and Delhi NCR, Vultr expanded its presence in India. In comparison to AWS, Google, or any other global independent cloud, Vultr now offers service in more Indian regions. With this expansion, the company aimed to provide easy-to-use, high-performance, and efficient cloud computing to businesses and developers worldwide.

Scope of the Study

By Enterprise Type

  • Large Enterprises
  • Small & Medium Enterprises

By Deployment Type

  • Private
  • Public
  • Hybrid

By Application

  • Telecom & IT
  • Manufacturing
  • BFSI
  • Healthcare
  • Automotive
  • Others

By Geography

  • North America
  • US
  • Canada
  • Mexico
  • Rest of North America
  • Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific
  • LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Key Market Players

List of Companies Profiled in the Report:

  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC (Alphabet Inc.)
  • IBM Corporation
  • Alibaba Cloud (Alibaba Group Holding Limited)
  • Lambda Inc.
  • Hewlett Packard Enterprise Company (HP Development Company L.P.)
  • Linode LLC (Akamai Technologies, Inc.)
  • CoreWeave, Inc.
  • Vultr (The Constant Company, LLC)
  • OVH Groupe S.A

Unique Offerings

  • Exhaustive coverage
  • The highest number of Market tables and figures
  • Subscription-based model available
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  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global GPU as a Service Market, by Enterprise Type
1.4.2 Global GPU as a Service Market, by Deployment Type
1.4.3 Global GPU as a Service Market, by Application
1.4.4 Global GPU as a Service Market, by Geography
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.2.4 Geographical Expansions
4.3 Market Share Analysis, 2022
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
4.5 Porter’s Five Force Analysis
Chapter 5. Global GPU as a Service Market by Enterprise Type
5.1 Global Large Enterprises Market by Region
5.2 Global Small & Medium Enterprises Market by Region
Chapter 6. Global GPU as a Service Market by Deployment Type
6.1 Global Private Market by Region
6.2 Global Public Market by Region
6.3 Global Hybrid Market by Region
Chapter 7. Global GPU as a Service Market by Application
7.1 Global Telecom & IT Market by Region
7.2 Global Manufacturing Market by Region
7.3 Global BFSI Market by Region
7.4 Global Healthcare Market by Region
7.5 Global Automotive Market by Region
7.6 Global Others Market by Region
Chapter 8. Global GPU as a Service Market by Region
8.1 North America GPU as a Service Market
8.1.1 North America GPU as a Service Market by Enterprise Type
8.1.1.1 North America Large Enterprises Market by Country
8.1.1.2 North America Small & Medium Enterprises Market by Country
8.1.2 North America GPU as a Service Market by Deployment Type
8.1.2.1 North America Private Market by Country
8.1.2.2 North America Public Market by Country
8.1.2.3 North America Hybrid Market by Country
8.1.3 North America GPU as a Service Market by Application
8.1.3.1 North America Telecom & IT Market by Country
8.1.3.2 North America Manufacturing Market by Country
8.1.3.3 North America BFSI Market by Country
8.1.3.4 North America Healthcare Market by Country
8.1.3.5 North America Automotive Market by Country
8.1.3.6 North America Others Market by Country
8.1.4 North America GPU as a Service Market by Country
8.1.4.1 US GPU as a Service Market
8.1.4.1.1 US GPU as a Service Market by Enterprise Type
8.1.4.1.2 US GPU as a Service Market by Deployment Type
8.1.4.1.3 US GPU as a Service Market by Application
8.1.4.2 Canada GPU as a Service Market
8.1.4.2.1 Canada GPU as a Service Market by Enterprise Type
8.1.4.2.2 Canada GPU as a Service Market by Deployment Type
8.1.4.2.3 Canada GPU as a Service Market by Application
8.1.4.3 Mexico GPU as a Service Market
8.1.4.3.1 Mexico GPU as a Service Market by Enterprise Type
8.1.4.3.2 Mexico GPU as a Service Market by Deployment Type
8.1.4.3.3 Mexico GPU as a Service Market by Application
8.1.4.4 Rest of North America GPU as a Service Market
8.1.4.4.1 Rest of North America GPU as a Service Market by Enterprise Type
8.1.4.4.2 Rest of North America GPU as a Service Market by Deployment Type
8.1.4.4.3 Rest of North America GPU as a Service Market by Application
8.2 Europe GPU as a Service Market
8.2.1 Europe GPU as a Service Market by Enterprise Type
8.2.1.1 Europe Large Enterprises Market by Country
8.2.1.2 Europe Small & Medium Enterprises Market by Country
8.2.2 Europe GPU as a Service Market by Deployment Type
8.2.2.1 Europe Private Market by Country
8.2.2.2 Europe Public Market by Country
8.2.2.3 Europe Hybrid Market by Country
8.2.3 Europe GPU as a Service Market by Application
8.2.3.1 Europe Telecom & IT Market by Country
8.2.3.2 Europe Manufacturing Market by Country
8.2.3.3 Europe BFSI Market by Country
8.2.3.4 Europe Healthcare Market by Country
8.2.3.5 Europe Automotive Market by Country
8.2.3.6 Europe Others Market by Country
8.2.4 Europe GPU as a Service Market by Country
8.2.4.1 Germany GPU as a Service Market
8.2.4.1.1 Germany GPU as a Service Market by Enterprise Type
8.2.4.1.2 Germany GPU as a Service Market by Deployment Type
8.2.4.1.3 Germany GPU as a Service Market by Application
8.2.4.2 UK GPU as a Service Market
8.2.4.2.1 UK GPU as a Service Market by Enterprise Type
8.2.4.2.2 UK GPU as a Service Market by Deployment Type
8.2.4.2.3 UK GPU as a Service Market by Application
8.2.4.3 France GPU as a Service Market
8.2.4.3.1 France GPU as a Service Market by Enterprise Type
8.2.4.3.2 France GPU as a Service Market by Deployment Type
8.2.4.3.3 France GPU as a Service Market by Application
8.2.4.4 Russia GPU as a Service Market
8.2.4.4.1 Russia GPU as a Service Market by Enterprise Type
8.2.4.4.2 Russia GPU as a Service Market by Deployment Type
8.2.4.4.3 Russia GPU as a Service Market by Application
8.2.4.5 Spain GPU as a Service Market
8.2.4.5.1 Spain GPU as a Service Market by Enterprise Type
8.2.4.5.2 Spain GPU as a Service Market by Deployment Type
8.2.4.5.3 Spain GPU as a Service Market by Application
8.2.4.6 Italy GPU as a Service Market
8.2.4.6.1 Italy GPU as a Service Market by Enterprise Type
8.2.4.6.2 Italy GPU as a Service Market by Deployment Type
8.2.4.6.3 Italy GPU as a Service Market by Application
8.2.4.7 Rest of Europe GPU as a Service Market
8.2.4.7.1 Rest of Europe GPU as a Service Market by Enterprise Type
8.2.4.7.2 Rest of Europe GPU as a Service Market by Deployment Type
8.2.4.7.3 Rest of Europe GPU as a Service Market by Application
8.3 Asia Pacific GPU as a Service Market
8.3.1 Asia Pacific GPU as a Service Market by Enterprise Type
8.3.1.1 Asia Pacific Large Enterprises Market by Country
8.3.1.2 Asia Pacific Small & Medium Enterprises Market by Country
8.3.2 Asia Pacific GPU as a Service Market by Deployment Type
8.3.2.1 Asia Pacific Private Market by Country
8.3.2.2 Asia Pacific Public Market by Country
8.3.2.3 Asia Pacific Hybrid Market by Country
8.3.3 Asia Pacific GPU as a Service Market by Application
8.3.3.1 Asia Pacific Telecom & IT Market by Country
8.3.3.2 Asia Pacific Manufacturing Market by Country
8.3.3.3 Asia Pacific BFSI Market by Country
8.3.3.4 Asia Pacific Healthcare Market by Country
8.3.3.5 Asia Pacific Automotive Market by Country
8.3.3.6 Asia Pacific Others Market by Country
8.3.4 Asia Pacific GPU as a Service Market by Country
8.3.4.1 China GPU as a Service Market
8.3.4.1.1 China GPU as a Service Market by Enterprise Type
8.3.4.1.2 China GPU as a Service Market by Deployment Type
8.3.4.1.3 China GPU as a Service Market by Application
8.3.4.2 Japan GPU as a Service Market
8.3.4.2.1 Japan GPU as a Service Market by Enterprise Type
8.3.4.2.2 Japan GPU as a Service Market by Deployment Type
8.3.4.2.3 Japan GPU as a Service Market by Application
8.3.4.3 India GPU as a Service Market
8.3.4.3.1 India GPU as a Service Market by Enterprise Type
8.3.4.3.2 India GPU as a Service Market by Deployment Type
8.3.4.3.3 India GPU as a Service Market by Application
8.3.4.4 South Korea GPU as a Service Market
8.3.4.4.1 South Korea GPU as a Service Market by Enterprise Type
8.3.4.4.2 South Korea GPU as a Service Market by Deployment Type
8.3.4.4.3 South Korea GPU as a Service Market by Application
8.3.4.5 Singapore GPU as a Service Market
8.3.4.5.1 Singapore GPU as a Service Market by Enterprise Type
8.3.4.5.2 Singapore GPU as a Service Market by Deployment Type
8.3.4.5.3 Singapore GPU as a Service Market by Application
8.3.4.6 Malaysia GPU as a Service Market
8.3.4.6.1 Malaysia GPU as a Service Market by Enterprise Type
8.3.4.6.2 Malaysia GPU as a Service Market by Deployment Type
8.3.4.6.3 Malaysia GPU as a Service Market by Application
8.3.4.7 Rest of Asia Pacific GPU as a Service Market
8.3.4.7.1 Rest of Asia Pacific GPU as a Service Market by Enterprise Type
8.3.4.7.2 Rest of Asia Pacific GPU as a Service Market by Deployment Type
8.3.4.7.3 Rest of Asia Pacific GPU as a Service Market by Application
8.4 LAMEA GPU as a Service Market
8.4.1 LAMEA GPU as a Service Market by Enterprise Type
8.4.1.1 LAMEA Large Enterprises Market by Country
8.4.1.2 LAMEA Small & Medium Enterprises Market by Country
8.4.2 LAMEA GPU as a Service Market by Deployment Type
8.4.2.1 LAMEA Private Market by Country
8.4.2.2 LAMEA Public Market by Country
8.4.2.3 LAMEA Hybrid Market by Country
8.4.3 LAMEA GPU as a Service Market by Application
8.4.3.1 LAMEA Telecom & IT Market by Country
8.4.3.2 LAMEA Manufacturing Market by Country
8.4.3.3 LAMEA BFSI Market by Country
8.4.3.4 LAMEA Healthcare Market by Country
8.4.3.5 LAMEA Automotive Market by Country
8.4.3.6 LAMEA Others Market by Country
8.4.4 LAMEA GPU as a Service Market by Country
8.4.4.1 Brazil GPU as a Service Market
8.4.4.1.1 Brazil GPU as a Service Market by Enterprise Type
8.4.4.1.2 Brazil GPU as a Service Market by Deployment Type
8.4.4.1.3 Brazil GPU as a Service Market by Application
8.4.4.2 Argentina GPU as a Service Market
8.4.4.2.1 Argentina GPU as a Service Market by Enterprise Type
8.4.4.2.2 Argentina GPU as a Service Market by Deployment Type
8.4.4.2.3 Argentina GPU as a Service Market by Application
8.4.4.3 UAE GPU as a Service Market
8.4.4.3.1 UAE GPU as a Service Market by Enterprise Type
8.4.4.3.2 UAE GPU as a Service Market by Deployment Type
8.4.4.3.3 UAE GPU as a Service Market by Application
8.4.4.4 Saudi Arabia GPU as a Service Market
8.4.4.4.1 Saudi Arabia GPU as a Service Market by Enterprise Type
8.4.4.4.2 Saudi Arabia GPU as a Service Market by Deployment Type
8.4.4.4.3 Saudi Arabia GPU as a Service Market by Application
8.4.4.5 South Africa GPU as a Service Market
8.4.4.5.1 South Africa GPU as a Service Market by Enterprise Type
8.4.4.5.2 South Africa GPU as a Service Market by Deployment Type
8.4.4.5.3 South Africa GPU as a Service Market by Application
8.4.4.6 Nigeria GPU as a Service Market
8.4.4.6.1 Nigeria GPU as a Service Market by Enterprise Type
8.4.4.6.2 Nigeria GPU as a Service Market by Deployment Type
8.4.4.6.3 Nigeria GPU as a Service Market by Application
8.4.4.7 Rest of LAMEA GPU as a Service Market
8.4.4.7.1 Rest of LAMEA GPU as a Service Market by Enterprise Type
8.4.4.7.2 Rest of LAMEA GPU as a Service Market by Deployment Type
8.4.4.7.3 Rest of LAMEA GPU as a Service Market by Application
Chapter 9. Company Profiles
9.1 Amazon Web Services, Inc. (Amazon.com, Inc.)
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental Analysis
9.1.4 Recent strategies and developments:
9.1.4.1 Partnerships, Collaborations, and Agreements:
9.1.5 SWOT Analysis
9.2 Google LLC (Alphabet Inc.)
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Segmental and Regional Analysis
9.2.4 Research & Development Expense
9.2.5 Recent strategies and developments:
9.2.5.1 Partnerships, Collaborations, and Agreements:
9.2.6 SWOT Analysis
9.3 IBM Corporation
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expenses
9.3.5 Recent strategies and developments:
9.3.5.1 Acquisition and Mergers:
9.3.6 SWOT Analysis
9.4 Alibaba Cloud (Alibaba Group Holding Limited)
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental Analysis
9.4.4 Recent strategies and developments:
9.4.4.1 Partnerships, Collaborations, and Agreements:
9.4.5 SWOT Analysis
9.5 Hewlett Packard Enterprise Company (HP Development Company L.P.)
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expense
9.5.5 SWOT Analysis
9.6 Lambda Inc.
9.6.1 Company Overview
9.6.2 SWOT Analysis
9.7 Linode LLC (Akamai Technologies, Inc.)
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Regional Analysis
9.7.4 Research & Development Expenses
9.7.5 Recent strategies and developments:
9.7.5.1 Product Launches and Product Expansions:
9.7.6 SWOT Analysis
9.8 CoreWeave, Inc.
9.8.1 Company Overview
9.8.2 Recent strategies and developments:
9.8.2.1 Acquisition and Mergers:
9.8.3 SWOT Analysis
9.9 Vultr (The Constant Company, LLC)
9.9.1 Company Overview
9.9.2 Recent strategies and developments:
9.9.2.1 Partnerships, Collaborations, and Agreements:
9.9.2.2 Product Launches and Product Expansions:
9.9.2.3 Geographical Expansions:
9.9.3 SWOT Analysis
9.10. OVH Groupe S.A
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 SWOT Analysis
Chapter 10. Winning Imperative for GPU as a Service Market

Companies Mentioned

  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC (Alphabet Inc.)
  • IBM Corporation
  • Alibaba Cloud (Alibaba Group Holding Limited)
  • Lambda Inc.
  • Hewlett Packard Enterprise Company (HP Development Company L.P.)
  • Linode LLC (Akamai Technologies, Inc.)
  • CoreWeave, Inc.
  • Vultr (The Constant Company, LLC)
  • OVH Groupe S.A

Methodology

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