GPU As a Service Market Updates

Skyquest Technology's expert advisors continuously track and analyze the latest developments and updates related to gpu as a service market. Our team of analysts stay abreast of all the recent news stories shaping the industry including new product launches by major companies, strategic partnerships, M&As, Patent filings and industry and regulatory developments.

GPU As a Service Market News

  • In May 2024, IBM Turbonomic, an AI-powered performance optimization platform developed by IBM, delivered GPU optimization capabilities for public clouds, on-premises, and containers. This increases efficiency without compromising performance, especially debt management and supply chain problems. 
  • In March 2024, Microsoft announced the availability of Azure NC H100 v5 virtual machines, which provide robust computing power for AI and HPC projects, including generative AI applications and scientific simulations like computational fluid dynamics and quantum chemistry.  
  • In March 2024, Amazon Web Services, Inc. is expected to become the largest company in the world. This partnership aims to provide customers with secure and advanced solutions to unlock new AI capabilities, including real-time prediction of large language systems. 

REQUEST FOR SAMPLE

Want to customize this report? REQUEST FREE CUSTOMIZATION

FAQs

GPU As a Service Market size was valued at USD 3.49 Billion in 2023 and is poised to grow from USD 4.82 Billion in 2024 to USD 64.18 Billion by 2032, growing at a CAGR of 0.382 during the forecast period (2025-2032).

The market is characterized by strong competition, with a few major worldwide competitors owning a significant market share. The major focus is developing new products and collaborating among the key players. For instance, in March 2023, NVIDIA Corporation, a U.S.-based software company, partnered with Oracle Cloud, Google Cloud, and Microsoft Azure to unveil NVIDIA DGX Cloud, an advanced computing platform. This service gives enterprises swift and direct access to the essential infrastructure and software required to train advanced models in generative AI and other advanced applications.  'NVIDIA (US)', 'Amazon Web Services (US)', 'Microsoft (US)', 'Google Cloud (US)', 'IBM (US)', 'Alibaba Cloud (China)', 'Tencent Cloud (China)', 'Baidu (China)', 'ATOS (France)', 'Fujitsu (Japan)', 'Dell EMC (US)', 'Penguin Computing (US)', 'Nimbix (US)', 'ScaleMatrix (US)', 'Paperspace (US)', 'G-Core Labs (Germany)', 'Sheepdog Computing (US)', 'Anyscale (US)', 'Cerebras Systems (US)', 'Rescale (US)'

Generative Artificial Intelligence (AI) is a revolutionary technology that presents significant computing challenges. Generative AI models are often complex and involve the processing of huge volumes of datasets. For instance, many inference calculations are executed every time a user uses DALL-E, an image generation model. This, in turn, increases the demand for powerful computing resources for efficient processing.

Growing Demand for Games: There are about 3 billion gamers who are active worldwide. Approximately, 4 billion gamers are projected to exist worldwide in 2024. Not only on laptops or PC, also the games are also extensively played on mobile phones. Current smartphones have cutting-edge embedded chipsets that, depending on their programming, are capable of performing a wide range of functions. The performance of the GPUs, which are a crucial component of those chipsets as mobile games push the limits of their capabilities, is becoming more and more significant. Hence, growing demand for games from all around the world is estimated to boost the growth of the market.  

As per the GPU as a service market outlook, North America region dominated in 2024. The North America region has been experiencing significant growth and prominence as cloud computing, artificial intelligence (AI), and high-performance computing (HPC) have become integral to various industries. The increasing demand for AI and ML applications that require substantial computational power has fueled the adoption of GPU as a Service (GPUaaS). The GPU as a service market in the U.S. is anticipated to grow at a significant CAGR during the forecast period. There is a strong emphasis on innovation and technological advancements, especially in emerging technologies, such as AI, IoT, and robotics, in the U.S.   The GPU as a service market in Asia Pacific is anticipated to grow at a significant CAGR during the forecast period. The convergence of increasing computational demands and the proliferation of GPU-intensive applications have contributed to the remarkable growth of GPUaaS in Asia-Pacific. Major cloud service providers in the region, including Alibaba Cloud and Tencent Cloud, have been at the forefront of offering GPU instances as part of their cloud computing services, making GPUaaS readily accessible to businesses and developers. The rise of cloud gaming platforms and the ever-expanding applications of AI further propel the growth of GPUaaS in the region.   

Request Free Customization

Want to customize this report? This report can be personalized according to your needs. Our analysts and industry experts will work directly with you to understand your requirements and provide you with customized data in a short amount of time. We offer $1000 worth of FREE customization at the time of purchase.

logo-images

Feedback From Our Clients

Global GPU As A Service Market
GPU As a Service Market

Report ID: SQMIG45E2159

[email protected]
USA +1 351-333-4748

BUY NOW GET FREE SAMPLE