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A method and device for deploying a deep learning system

A deep learning and node technology, applied in the field of deep learning system deployment, can solve the problems of difficult deployment, time-consuming, and failure of AIStation clusters, and achieve the effect of improving usability and ease of use

Active Publication Date: 2021-10-12
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Installing the operating system is a very time-consuming operation, especially when the number of cluster nodes is large, it takes a lot of manpower just to install the operating system, and even a little carelessness in modifying the configuration and executing the installation will cause failure
[0004] There is currently no effective solution to the problem that AIStation clusters are difficult to deploy in the prior art

Method used

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  • A method and device for deploying a deep learning system
  • A method and device for deploying a deep learning system

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Embodiment Construction

[0035] In order to make the object, technical solution and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0036] It should be noted that all expressions using "first" and "second" in the embodiments of the present invention are to distinguish two entities with the same name but different parameters or parameters that are not the same, see "first" and "second" It is only for the convenience of expression, and should not be construed as a limitation on the embodiments of the present invention, which will not be described one by one in the subsequent embodiments.

[0037] Based on the above purpose, the first aspect of the embodiment of the present invention proposes an embodiment of a method for deploying a deep learning system that automatically executes the deployment of the AIStation cluster and improves th...

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Abstract

The invention discloses a method and device for deploying a deep learning system. The method includes: defining a node group template for a first node group and a second node group, and the node group template includes components indicating that the first node group is installed and the second node Components installed by the group; defining a cluster template for the device group based on the node group template, the cluster template including indicating the number of first nodes in the device group on which the component is installed according to the first node group and the second number of nodes in the device group on which the component is installed according to the second node group The number of nodes; check the rationality of the configuration of the cluster template, and create multiple virtual machines with artificial intelligence frameworks corresponding to multiple first nodes and multiple second nodes based on the cluster template; configure multiple virtual machines Communication benchmarks, and import deep learning images into artificial intelligence frameworks of multiple virtual machines. The invention can automatically execute the deployment work of the cluster, and improve the usability and ease of use of the cluster.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, and more specifically, to a method and device for deploying a deep learning system. Background technique [0002] Artificial intelligence, abbreviated as AI in English, is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. In the prior art, AIStation provides full-process training services from data upload, model development, model training, and training visualization to deep learning computing clusters. AIStation supports a variety of deep learning systems, can quickly deploy deep learning training environments, comprehensively manage deep learning training tasks, and provide deep learning users with an efficient and easy-to-use platform; CPU (central processing unit) and GPU (graphics processing unit) of computing clusters ) resources for unified management, scheduli...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/455H04L12/24H04L29/08
CPCG06F9/45558H04L41/08H04L41/0893H04L67/10G06F2009/45595G06F2009/45562G06F8/60G06F8/63G06F9/44505G06F9/5077
Inventor 芮法玲
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD