Cloud GPU Service is a fast, stable and elastic GPU-based computing service. It's applicable to training or reasoning of deep learning, graphics and image processing, and scientific computing, etc. Cloud GPU Service is easily managed in the same way as the CVMs. With the powerful computing performance of processing massive data, it can effectively relieve the computing pressure of users and improve the efficiency and competitiveness of business processing.
Why Cloud GPU Service?
Comparison between Cloud GPU Service and Self-built GPU Computing:
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Advantages
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Cloud GPU Service
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Self-built GPU Computing
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Elastic
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Fixed configuration makes it hard to satisfy the ever-changing requirements.
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High-performance
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Easy-to-use
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Secure
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Low-cost
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Comparison between Cloud GPU Service and CPU Cloud Computing:
| Dimension | GPU | CPU |
|---|---|---|
| Number of Kernels | Thousands of accelerated kernels (dual ENI, M40, and up to 6,144 accelerated kernels) | Dozens of kernels |
| Product Features | 1. Numerous efficient arithmetic logic units (ALU) support parallel processing 2. Massively parallel throughput can be achieved using multiple threads 3. Simple logic control |
1. Complex logic control unit 2. Powerful ALUs 3. Simple logic control |
| Application Scenario | Compute-intensive applications that support parallel processing | Applications with logic control and serial arithmetic |
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