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31IDC Hong Kong GPU Server Review: V100 GPU Performance Test and Network Optimization Analysis

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31IDC is a professional hosting provider offering VPS cloud servers and dedicated servers, with data centers across Hong Kong, the United States, South Korea, Japan, and other regions. It provides advantages such as CN2 optimized routes, DDoS protection, and high-bandwidth connectivity. Recently, 31IDC launched GPU servers, which are particularly suitable for running large AI models such as DeepSeek. Compared with similar services, its pricing is highly competitive. This article provides a detailed review of its Hong Kong GPU server, focusing on network performance, hardware configuration, and applicable use cases. 31IDC Official Website: 31IDC – Professional Hong Kong Cloud Servers, VPS & Dedicated Hosting Provider

31IDC Hong Kong GPU Server Hardware Configuration and Plans

31IDC offers multiple GPU options including GT 740, 1050 Ti, and the high-performance V100 GPU. Bandwidth options range from 10Mbps to 30Mbps, with CN2 GIA routing. Each server includes 3 IPs by default (expandable up to 21 IPs). The entry-level GT 740 GPU server starts at 1299 CNY/month, making it highly competitive in the GPU server market. Detailed plan information is as follows:
Specification Plan 1 Plan 2 Plan 3 Plan 4
GPU GT 740 GT 740 1050 Ti V100
Memory 16GB 32GB 64GB 64GB
CPU E5-2660 2 × E5-2660 2 × E5-2660 AMD EPYC 7302 ×2
Storage 1TB HDD / 240GB SSD 1TB HDD / 240GB SSD 480GB SSD 800GB SSD
Bandwidth 10Mbps 10Mbps 10Mbps 10Mbps
Traffic Unlimited Unlimited Unlimited Unlimited
IPs 3 3 3 3
Price 1299 CNY/month 1499 CNY/month 1899 CNY/month 5800 CNY/month
The V100 GPU plan is ideal for AI training and deep learning tasks. With AMD EPYC 7302 ×2 CPUs, 64GB memory, and 800GB SSD storage, it ensures strong computing and storage performance.

Network Performance Test: Local and Global Latency

In local network tests, the average ping latency to the Hong Kong GPU server is 51ms, with stable connectivity and no packet loss. Across China’s three major ISPs, the average ping latency is 47ms:
  • China Telecom: 45ms
  • China Unicom: 50ms
  • China Mobile: 47ms
Overall, the network performance of 31IDC’s Hong Kong data center is excellent, making it suitable for both domestic and international users.

Global Network Stability and Routing Analysis

In global stability tests, no significant packet loss was observed across multiple regions. Both domestic and international users experience smooth connectivity. Outbound routing analysis:
  • China Telecom: Direct backbone connection to Hong Kong data center
  • China Unicom: AS4837 route
  • China Mobile: CMI backbone network
Thanks to optimized BGP routing, 31IDC Hong Kong GPU servers ensure low latency and high stability for global users.

How to Purchase a 31IDC Hong Kong GPU Server

  1. Visit the 31IDC official website and navigate to the “DeepSeek Servers” category.
  2. Select the GPU plan that fits your needs.
  3. Click “Order Now” and complete payment (supports Alipay, WeChat Pay, PayPal, etc.).
  4. The server will be activated within 30 minutes after payment.

FAQ

1. What are 31IDC Hong Kong GPU servers used for? They are suitable for AI deep learning training (e.g., DeepSeek), rendering, high-performance computing, and video encoding tasks. 2. Is the CN2 GIA route friendly for international users? Yes, CN2 GIA optimizes global connectivity with particularly low latency and packet loss for users in mainland China. 3. Can the number of IP addresses be increased? Yes, the default is 3 IPs, expandable up to 21 IPs for multi-IP requirements. 4. What AI models can the V100 GPU run? It is suitable for large-scale AI workloads such as DeepSeek, Stable Diffusion, TensorFlow, and PyTorch training. 5. How long does server delivery take? Typically within 30 minutes after successful payment.

Conclusion

31IDC’s Hong Kong GPU servers offer strong hardware performance, low-latency network optimization, and competitive pricing. The V100 GPU plan in particular provides excellent value for AI training, deep learning, and computational workloads, making 31IDC a highly recommended option.
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