Server subjected to optimization design and maintenance method

Abstract

The invention discloses a server subjected to optimization design and a maintenance method. According to the server subjected to the optimization design, a traditional server system and a GPU serversystem are arranged in a layered mode according to function modules, and the number of layers is more than one, so that the whole server can be stretched freely under the condition of continuous operation; a tank chain used for pulling the traditional server system or the GPU server system is arranged on one side of each layer except the top layer, so that the arrangement continuity between the layers is guaranteed, and the loss of parts is avoided during layer pulling; and a fixing buckle is arranged on the other side of each layer, so that the structure firmness of the server subjected to the optimization design is enhanced.

Description

technical field [0001] The invention relates to the field of artificial intelligence servers, in particular to an optimized design server and a maintenance method. Background technique [0002] Artificial intelligence is playing an increasingly important role in the online services of the current world. Within companies such as Google, Facebook, Microsoft, and Baidu, GPUs play a huge role in the field of "deep learning". GPU is a large-scale SIMD collection with a large number of vector computing systems. When performing stream computing with repetitive functions, it can process a large amount of trivial information in parallel. It only needs to set the function data and keep entering it. The power of the CPU is that it is excellent in the face of control-intensive operations, but for data-intensive operations, such as what color should be displayed by each pixel on the screen, it is relatively limited by the operating mechanism of the CPU and the pressure will be great. . ...

AI Technical Summary

Problems solved by technology

The power of the CPU is that it is excellent in the face of control-intensive calculations, but for data-intensive calculations, such as what color should be displayed for each pixel on the screen, it is relatively limited by the operating mechanism of the CPU, and the pressure will be great.

[0003] With the vigorous development of artificial intelligence, GPUs are widely used in large numbers. For large-scale data centers, a large number of pooled servers have begun to be deployed. This type of traditional server structure does not support the thermal operation and maintenance of GPUs. Once the server needs to be repaired or To upgrade the GPU, it is necessary to power off the server as a whole for related operations, which is not as convenient as replacing the hard disk, fan, and power supply. This will cause the entire service to stop operating and bring great challenges to the entire system. Therefore, design and development are urgently needed A server with thermal operation and maintenance and easy upgrade of GPU can meet the market demand and satisfy the whole service

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