Global GPU As A Service Market

GPU As a Service Market Size, Share, Growth Analysis, By Product(Software, CAD/CAM, Simulation, Imaging), By Service Model(SaaS, PaaS, IaaS), By Delivery Model(Public Cloud, Private Cloud, Hybrid Cloud), By Region - Industry Forecast 2024-2031


Report ID: SQMIG45E2159 | Region: Global | Published Date: March, 2024
Pages: 197 | Tables: 99 | Figures: 76

GPU As a Service Market News

  • Amazon Web Services will introduce their high-performance EC2 P4d instances, which are powered by NVIDIA A100 GPUs, in 2023. In the meanwhile, the business declared that it will be working with SageMaker Studio Lab to streamline GPU-based services.

     

  • Spanner for AI, a real-time machine learning tool powered by GPUs, was introduced by Google Cloud Platform in 2023. Additionally, the business revealed that Vertex AI Workbench with GPU integration is now available.

     

  • New NVv4 instances with NVIDIA A100 GPUs for HPC and AI workloads were announced by Microsoft Azure in 2023. Additionally, the business collaborated with Open AI to make its most recent language model accessible.

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FAQs

Global GPU as a Service Market size was valued at USD 5 billion in 2022 and is poised to grow from USD 6,60 billion in 2023 to USD 60.83 billion by 2031, growing at a CAGR of 32% in the forecast period (2024-2031).

The competitive landscape of the global GPU as a Service (GPUaaS) market is characterized by dynamic innovation and fierce rivalry among key players. As of my last knowledge update in September 2021, prominent technology companies, cloud service providers, and specialized startups are vying for market dominance, continually enhancing their offerings to meet the evolving demands of industries. '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)'

The escalating demand for high-performance computing to support AI and machine learning applications is a significant driver for the GPU as a Service (GPUaaS) market. GPUs' parallel processing capabilities enhance the speed and efficiency of AI model training and inference, compelling businesses to adopt GPUaaS to access this computational power.

Edge GPUaaS: The trend of extending GPUaaS capabilities to the edge is gaining momentum. Edge GPUaaS enables real-time processing for applications like edge AI, IoT, and remote monitoring, reducing latency and enhancing responsiveness.

North America, particularly the United States, has established itself as a prominent technological epicenter and a key player in the realm of GPU as a Service (GPUaaS). The landscape is enriched by the formidable presence of major tech conglomerates, proficient cloud service providers, and enterprising startups, all of which have collaboratively propelled the adoption of GPUaaS solutions. The regional spotlight on cutting-edge domains such as artificial intelligence (AI), machine learning, gaming, and data analytics has substantiated an intensified demand for GPUaaS. The heightened awareness and proactive integration of nascent technologies consistently position North America as an influential stronghold within the expansive realm of GPUaaS offerings

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Global GPU As A Service Market

Report ID: SQMIG45E2159

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