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Data Center GPU Market size was valued at USD 13.1 billion in 2023 and is anticipated to register a CAGR of over 28.5% between 2024 and 2032. The escalating need for processing large datasets and complex algorithms in artificial intelligence (AI) and machine learning (ML) applications has driven the demand for high-performance computing solutions. GPUs are well-suited for parallel processing tasks, making them essential for accelerating AI and ML workloads in data centers.
In a recent turn of events, Yotta Data Services unveiled its plan to deploy over 20,400 NVIDIA GPU-based supercomputers by June 2024. In partnership with NVIDIA, the company is set to deliver cutting-edge GPU computing infrastructure for its Shakti Cloud platform, making it the nation's fastest supercomputer with 16 Exaflops of AI computing power. Having already ordered a substantial quantity of NVIDIA H100 Tensor Core GPUs, Yotta plans to initiate operations with 4,096 GPUs by January 2024, scaling up to 16,384 GPUs by June 2024.
Report Attribute | Details |
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Base Year: | 2023 |
Data Center GPU Market Size in 2023: | USD 13.1 Billion |
Forecast Period: | 2024 to 2032 |
Forecast Period 2024 to 2032 CAGR: | 28.5% |
2032 Value Projection: | USD 120.5 Billion |
Historical Data for: | 2018 - 2023 |
No. of Pages: | 220 |
Tables, Charts & Figures: | 266 |
Segments covered: | Deployment Model, Function, and End User |
Growth Drivers: |
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Pitfalls & Challenges: |
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GPUs, especially high-performance ones, tend to have high power consumption, resulting in increased electricity costs for data centers. Additionally, the heat generated by GPUs needs to be efficiently dissipated to prevent overheating and ensure optimal performance. Addressing power consumption and heat dissipation challenges can be a complex and costly task, potentially limiting the scalability of GPU deployments in data centers.