Latest news with #GPUaaS
Korea Herald
a day ago
- Business
- Korea Herald
Coupang's GPU bid signals new ambition
Coupang has made a surprise entry into a government-led bid to secure and operate high-performance graphics processing units, signaling potential ambitions beyond its current e-commerce focus. The e-commerce giant is among four companies — including Naver Cloud, Kakao Enterprise and NHN Cloud — that have submitted bids for the Ministry of Science and ICT's 1.46 trillion won ($1.07 billion) GPU infrastructure support project, according to industry sources Monday. Under the initiative, the government plans to purchase 10,000 high-performance GPUs through its first supplementary budget and provide GPU services to companies and researchers over five years. The final operator will be selected next month. While Coupang declined to comment on its participation, sources view the move as a strategic attempt to gain operational experience in GPU-as-a-service, potentially laying the groundwork for a future pivot into the cloud services market. "This marks Coupang's first known foray into a government tech infrastructure project of this scale,' said an industry source who requested anonymity. 'Although it has not publicly operated GPUaaS, its internal services like Coupang Play and Coupang Eats have long leveraged GPU resources, possibly helping it meet the eligibility requirements.' 'Coupang, emerging as a dark horse in the recent GPU acquisition initiative, may be strategically aiming to solidify its identity as a competitive cloud service provider through this move. … Otherwise, it's difficult to justify the company's participation in the project, especially considering the massive costs associated with data center space rentals,' the source added. The unexpected bid has drawn considerable attention, with speculation mounting that Coupang aims to evolve into a cloud service provider, much like Amazon's trajectory from e-commerce to dominance in Amazon Web Services. Industry watchers have observed that Coupang is stepping up its infrastructure push. The company is reportedly working with Singapore-based Empyrion DC to lease space at the KR1 data center in Seoul's Yangjae area, while accelerating talent acquisition in cloud and GPU operations. 'Coupang has consistently benchmarked Amazon's business model,' said a source familiar with the matter. 'It now appears to be eyeing the next frontier -- emulating AWS.' Despite the ambitions, skepticism remains. Unlike its competitors, Coupang lacks a track record of large-scale GPU service deployment. Naver Cloud, Kakao Enterprise and NHN Cloud already operate substantial GPU clusters and have established GPUaaS platforms. This could put Coupang at a disadvantage when it comes to technical evaluations. 'Coupang is not disqualified by regulation,' the anonymous source said. 'But its limited hands-on experience with GPU infrastructure could be a critical shortfall.' Stability remains a priority for the government's GPU project, the official added: 'The ability to quickly recover from system failures is key, and Coupang's capabilities in this area have yet to be publicly proven.' Industry observers are now watching to see whether Coupang can leverage this opportunity to transform into a next-generation cloud provider and challenge South Korea's established cloud service players. 'Coupang has been heavily investing in infrastructure talent,' another anonymous industry source said. 'If it can gain practical experience through a project of this scale, it could rapidly internalize GPU technology and accelerate its pivot into cloud computing.'
Korea Herald
2 days ago
- Business
- Korea Herald
Coupang makes GPU contract bid, hinting at cloud market entry
Coupang has made a surprise entry into a government-led bid to secure and operate high-performance graphics processing units, signaling potential ambitions beyond its current e-commerce focus. The e-commerce giant is among four companies — including Naver Cloud, Kakao Enterprise and NHN Cloud — that have submitted bids for the Ministry of Science and ICT's 1.46 trillion won ($1.07 billion) GPU infrastructure support project, according to industry sources Monday. Under the initiative, the government plans to purchase 10,000 high-performance GPUs through its first supplementary budget and provide GPU services to companies and researchers over five years. The final operator will be selected next month. While Coupang declined to comment on its participation, sources view the move as a strategic attempt to gain operational experience in GPU-as-a-service, potentially laying the groundwork for a future pivot into the cloud services market. "This marks Coupang's first known foray into a government tech infrastructure project of this scale,' said an industry source who requested anonymity. 'Although it has not publicly operated GPUaaS, its internal services like Coupang Play and Coupang Eats have long leveraged GPU resources, possibly helping it meet the eligibility requirements.' 'Coupang, emerging as a dark horse in the recent GPU acquisition initiative, may be strategically aiming to solidify its identity as a competitive cloud service provider through this move. … Otherwise, it's difficult to justify the company's participation in the project, especially considering the massive costs associated with data center space rentals,' the source added. The unexpected bid has drawn considerable attention, with speculation mounting that Coupang aims to evolve into a cloud service provider, much like Amazon's trajectory from e-commerce to dominance in Amazon Web Services. Industry watchers have observed that Coupang is stepping up its infrastructure push. The company is reportedly working with Singapore-based Empyrion DC to lease space at the KR1 data center in Seoul's Yangjae area, while accelerating talent acquisition in cloud and GPU operations. 'Coupang has consistently benchmarked Amazon's business model,' said a source familiar with the matter. 'It now appears to be eyeing the next frontier -- emulating AWS.' Despite the ambitions, skepticism remains. Unlike its competitors, Coupang lacks a track record of large-scale GPU service deployment. Naver Cloud, Kakao Enterprise and NHN Cloud already operate substantial GPU clusters and have established GPUaaS platforms. This could put Coupang at a disadvantage when it comes to technical evaluations. 'Coupang is not disqualified by regulation,' the anonymous source said. 'But its limited hands-on experience with GPU infrastructure could be a critical shortfall.' Stability remains a priority for the government's GPU project, the official added: 'The ability to quickly recover from system failures is key, and Coupang's capabilities in this area have yet to be publicly proven.' Industry observers are now watching to see whether Coupang can leverage this opportunity to transform into a next-generation cloud provider and challenge South Korea's established cloud service players. 'Coupang has been heavily investing in infrastructure talent,' another anonymous industry source said. 'If it can gain practical experience through a project of this scale, it could rapidly internalize GPU technology and accelerate its pivot into cloud computing.'
Yahoo
20-05-2025
- Business
- Yahoo
GPU as a Service Market Analysis by Service Model, GPU Type, Deployment, Enterprise Type - Global Forecast to 2030
The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall GPU as a Service market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities. GPU as a Service Market Dublin, May 13, 2025 (GLOBE NEWSWIRE) -- The "GPU as a Service Market by Service Model (IaaS, PaaS), GPU Type (High-End GPUs, Mid-Range GPUs, Low-End GPUs), Deployment (Public Cloud, Private Cloud, Hybrid Cloud), Enterprise Type (Large Enterprises, SMEs) - Global Forecast to 2030" report has been added to GPU as a Service market is expected to be worth USD 8.21 billion in 2025 and is estimated to reach USD 26.62 billion by 2030, growing at a CAGR of 26.5% between 2025 and 2030 The growth of the GPU as a Service market is driven by increasing demand for high-performance GPUs in video rendering, 3D content creation, and real-time applications. Industries like gaming, film production, and architecture require scalable and cost-effective GPU solutions for complex visual effects (VFX) and simulations. GPUaaS eliminates the need for expensive on-premises GPU clusters, providing on-demand access to cloud resources. Additionally, the rise of real-time rendering engines like Unreal Engine 5 and AI-driven content generation further accelerates market growth, enabling immersive virtual experiences and reducing production timelines for studios, developers, and content GPU segment to have highest CAGR in the forecasted high-end GPU segment will witness a rapid growth in the GPU as a Service market driven by increasing requirement for accelerated computation in AI, ML, and complicated simulations. High-end GPUs like NVIDIA's H100 Tensor Core GPUs and AMD's Instinct MI300X provide immense computing capabilities making them suitable to train large language models (LLMs) and generative AI applications. For example, Amazon Web Services (AWS) provides EC2 UltraClusters with NVIDIA H100 GPUs to support trillion-parameter AI Microsoft Azure and Google Cloud integrate high-end GPUs to provide scalable AI infrastructure for enterprises. The film and gaming industries are also contributing to this growth, using high-end GPUs for real-time rendering, special effects (VFX), and immersive virtual experiences. Platforms such as Epic Games' Unreal Engine 5 utilize GPUaaS for photorealistic virtual productions. Also, sectors such as healthcare and scientific research utilize GPUaaS for drug discovery and medical imaging analysis. With increased adoption of AI across industries, businesses opt for high-end GPUs to address growing computational needs. The flexible pay-as-you-go cloud model provides greater access to such powerful assets, further increasing the growth of the high-end GPU Enterprise Type- Large Enterprises segment will hold largest market share of GPU as a Service market in 2030The large enterprise segment will hold the highest market share within the GPU as a Service market given their high computing requirements and widespread AI deployment. Multinational conglomerates, Fortune 500 firms and industry titans from sectors such as healthcare, finance, automotive, and media utilize GPUaaS for AI applications such as medical imaging, drug discovery, fraud detection, and real-time analytics to a large extent. The need for scalable GPU resources to manage complex workloads, including large language model (LLM) training and algorithmic trading, drives this service providers offer tailored solutions with dedicated GPU clusters, high-bandwidth networking, and enterprise-grade security to meet the customization needs of large enterprises. In addition, the scalability of multi-cloud and hybrid cloud deployments allows companies to optimize costs while ensuring low latency and high availability. Enterprises benefit from long-term contracts, constructing predictable GPU usage costs and gaining access to the latest GPU technology. Industries with mission-critical applications often allocate dedicated GPU resources for activities such as autonomous car development and financial modeling. With increasing AI adoption and rising dependence on data-driven decisions, the large corporations will continue to rule the GPUaaS market, leveraging its flexibility and cost-effectiveness for scalable Pacific is expected to hold high CAGR in during the forecast Pacific is expected to grow significantly in the GPU as a Service market as a result of accelerating growth in cloud computing, rising adoption of AI, and heavy investments in data center infrastructure. The growth is being led by China, Japan, South Korea, and India through government initiatives, private investment, and technological innovations. For instance, In May 2023, the Chinese government made plans to construct AI industrial bases, driving AI research. Moreover, policies such as the Shenzhen AI Regulation support AI adoption by pushing public data sharing and corporate innovation. Japan is seeing huge investments in AI invested USD 2.9 billion in Japan's cloud and AI infrastructure in April 2024, and Oracle pledged USD 8 billion to build cloud data centers. These projects give businesses access to scalable GPU capacity for AI applications. India is also moving ahead with GPUaaS adoption with its IndiaAI initiative. In March 2024, the Indian government sanctioned USD 124 billion in investments to deploy more than 10,000 GPUs, enabling AI research and startups. These strategic investments and efforts make Asia Pacific a high-growth region in the GPUaaS landscape The report profiles key players in the GPU as a Service market with their respective market ranking analysis. Prominent players profiled in this report are Amazon web Servies, Inc. (US), Microsoft (US), Google (US), Oracle (US), IBM (US), Coreweave (US), Alibaba Cloud (China), Lambda (US), Tencent Cloud (China), (India), among from this, Fluidstack (UK), OVH SAS (France), E2E Networks Limited (India), RunPod (US), ScaleMatrix Holdings, Inc. (US), (US), AceCloud (India), Snowcell (Norway), Linode LLC. (US), Yotta Infrastructure (India), VULTR (US), DigitalOcean, LLC. (US), Rackspace Technology (US), Gcore (Luxembourg), and Nebius B.V. (Amsterdam), are among a few emerging companies in the GPU as a Service Attributes: Report Attribute Details No. of Pages 282 Forecast Period 2025 - 2030 Estimated Market Value (USD) in 2025 $8.21 Billion Forecasted Market Value (USD) by 2030 $26.62 Billion Compound Annual Growth Rate 26.5% Regions Covered Global Market Dynamics Drivers Surging Use of Cloud-Powered AI, ML, and Dl Frameworks Increasing Need for Budget-Friendly Yet High-Performance GPU Solutions from Enterprises Growing Deployment of GPU as a Service Model in Gaming and Virtualization Applications Restraints Supply Chain Bottlenecks and AI Demand Dynamics Opportunities Revolutionizing Media Production Workflows Increasing Investments in AI Infrastructure by Cloud Service Providers Rise of Pure-Play GPU Companies Challenges Managing High Power Consumption and Cooling Needs in Cloud Gpus Confronting Security, Performance, and Scalability Challenges in Multi-Tenant Environments Case Study Analysis Nearmap Reduces Computing Cost and Increases Data Processing Capacity Using Amazon Ec2 G4 Instances Soluna Deploys GPU Cloud Management Software to Boost Its Marketplace Reach Computer Vision Technology Company Increases GPU Utilization to Improve Productivity and Reduce Dl Training Time Epfl Optimizes AI Infrastructure to Prioritize Workload Demands Using Run:AI's GPU Orchestration Platform For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachment GPU as a Service Market CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900
CairoScene
15-05-2025
- Business
- CairoScene
du Launches GPU-as-a-Service to Boost Enterprise AI in the UAE
du's new GPU-as-a-Service platform aims to support AI development across sectors by offering high-performance, scalable compute infrastructure to enterprises and developers in the UAE. May 15, 2025 UAE telecom operator du, part of Emirates Integrated Telecommunications Company (EITC), has launched a new GPU-as-a-Service (GPUaaS) offering designed to meet the rising demand for high-performance compute infrastructure required for enterprise artificial intelligence (AI) and machine learning workloads. The service provides access to NVIDIA GPUs on-demand through a subscription model, allowing businesses to scale AI development without the need for significant upfront investment in hardware. du's platform will be hosted in its Tier III data centres, with enterprise-grade SLAs and secure, low-latency access, tailored for AI model training, inferencing, and large-scale data processing. By launching GPUaaS, du positions itself as a critical enabler of AI adoption in the UAE's public and private sectors. The initiative aligns with the country's broader digital transformation goals, particularly the UAE's National Artificial Intelligence Strategy 2031. du's enterprise clients—including those in finance, healthcare, energy, and smart city planning—can now accelerate AI development pipelines while managing costs and resource allocation more efficiently. The service is expected to appeal to startups and research institutions as well, offering flexible compute access without the traditional capital expenditure hurdles.
Arabian Business
13-05-2025
- Business
- Arabian Business
UAE's du launches AI-powered GPU cloud service for government, enterprises
UAE telecom major du announced the launch of GPU-as-a-Service (GPUaaS) for government entities and large enterprises in the UAE, enabling AI computing power to drive greater efficiencies to accelerate growth and innovation. The company will provide public and private entities with the required digital infrastructure for their advanced computing and AI needs. du Tech's new GPU-as-a-Service will provide enterprises and government entities access to high-powered GPU computing, facilitating a transformation in how they operate, innovate, and serve their constituencies. Through the utilisation of GPUs, businesses can expect to see significant improvements in processing speeds, cost efficiency, scalability, and accuracy, among other benefits. Chief ICT Officer Jasim Al Awadi, said the company's GPU-as-a-Service is designed to meet the expanding needs of AI, offering businesses tailored solutions for high-intensity computing environments. 'This service provides the flexibility to deploy AI technologies without the hefty investment or management of an expensive digital infrastructure,' he said. The benefits of leveraging GPU technology include accelerated processing speeds which enable quicker training of AI models, leading to rapid deployment of AI solutions, while cost efficiency is achieved through reduced operational expenses and lower energy consumption over time. Additionally, scalability allows for the expansion of GPU clusters to accommodate larger datasets and more complex AI models, ensuring that performance is not compromised.
