What is GPU Server?

GPU server is a fast, stable and flexible computing service based on GPU, which is applied to video encoding and decoding, deep learning, scientific computing and other scenarios.

What is the function of GPU servers?

GPU accelerated computing can provide exceptional application performance. It can transfer the workload of the computing intensive part of the application to the GPU. While the CPU still runs the rest of the program code. From the user's perspective, the running speed of the application is significantly faster.

The CPU consists of several cores optimized for sequential serial processing. The GPU, on the other hand, has a large-scale parallel computing architecture composed of thousands of smaller and more efficient cores (designed to handle multiple tasks at the same time).

Main application scenarios of GPU servers

Massive computing processing

The powerful computing function of it can be applied to massive data processing operations, such as search, big data recommendation, intelligent input method, etc.:

• The amount of data that originally needed to be completed in a few days can be calculated in a few hours using a GPU server.
• Originally, dozens of CPU servers were required to work together on the cluster, which can be completed by a single GPU server.

Deep learning model

It can be used as a platform for in-depth learning training:

• The GPU server can directly accelerate computing services, and can also directly connect with the outside world.
• GPU server and ECS are used together, and ECS provides a computing platform for GPU ECS.
• Object storage COS can provide cloud storage services with large amounts of data for GPU servers.

Conclusion

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