Server power consumption management method and equipment, and medium

Abstract

The invention discloses a server power consumption management method. The method comprises the following steps: establishing connection between a first BMC in a computing node and a second BMC in a GPU case; collecting the power consumption of the computing node and the temperature of the CPU by using the first BMC, and collecting the power consumption of the GPU chassis by using the second BMC; enabling the second BMC to upload the collected power consumption of the GPU case to the first BMC; and enabling the first BMC to generate a corresponding control signal according to the temperature ofthe CPU, the power consumption of the computing node and the power consumption of the GPU case so as to adjust the power consumption of the computing node and / or the GPU case. The invention further discloses computer equipment and a readable storage medium. According to the scheme provided by the invention, integrated dynamic power consumption management between the computing node and the GPUBOXcan be realized, and meanwhile, the optimal performance power consumption ratio between the computing node and the GPUBOX can be realized.

Description

technical field [0001] The present invention relates to the field of servers, in particular to a server power consumption management method, device and storage medium. Background technique [0002] The rapid development of artificial intelligence has made the industry's demand for computing power higher and higher. For applications such as deep learning, the improvement of computing power benefits from the application of GPU and NNP (dedicated neural network processor). Currently, the mainstream of the industry The form is computing node + JBOG. In this case, one computing node can be paired with one or more JBOGs. At present, mainstream GPUs are all high-power components. The power consumption of a single GPU can generally reach more than 350W, and the GPUs of some manufacturers still have EDPP, that is, the power consumption of the GPU will reach twice or even higher than the power consumption of the TDP in an instant. The increase in power consumption makes the power con...

AI Technical Summary

Problems solved by technology

[0004] For an AI server, the power consumption of the CPU and memory only accounts for a small part of its power consumption. Only dynamic adjustment of the power consumption of the CPU and memory cannot effectively reduce the dynamic power consumption of the AI ​​server.

Especially for GPUBOX, when a single computing node is paired with multiple GPUBOXs, the actual effect of existing solutions is greatly reduced

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