Artificial intelligence platform resource metering management method and system, medium and processor

By detecting the resource surplus and performance indicators of computing power points and storage points on the artificial intelligence platform, and selecting the appropriate resource combination in combination with business scenario requirements, the problem of low resource utilization of existing platforms is solved, and the resource utilization and efficiency optimization is achieved. By integrating computing power and network resources, an efficient ubiquitous computing power network is formed.

CN119690639AActive Publication Date: 2025-03-25CHINA SOUTHERN POWER GRID COMPANY
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Patent Information

Application Number
CN202411525218.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-30
Publication Date
2025-03-25
Estimated Expiration
2044-10-30

AI Technical Summary

Technical Problem

There are few researches on resource measurement management in existing artificial intelligence platforms, resulting in low resource utilization, and existing research focuses on small-scale optimization of single systems.

Method used

A resource measurement management method for artificial intelligence platform is proposed. By detecting the resource surplus and performance indicators of computing power points and storage points, and combining business scenario requirements, selecting appropriate computing power points, storage points, algorithm models and business data to form a task combination to achieve the optimization of resource utilization and efficiency.

Benefits of technology

It achieves the optimal utilization rate and efficiency of IT resources and atomic capabilities. By integrating computing power and network resources, an efficient and scalable ubiquitous computing power network is formed, breaking through the performance limit of single-point computing power, and meeting the business's demand for computing power on demand.

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Abstract

The invention provides an artificial intelligence platform resource metering management method which specifically comprises the following steps: S1, detecting and metering the computing power surplus of each position computing power point in a platform system, and dividing the computing power points into training points and reasoning points according to the idle computing power surplus and computing power point types; s2, detecting and metering the storage performance index of each position storage point in the platform system to obtain the parameter of each storage point; s3, evaluating an algorithm model in the platform system; s4, detecting and evaluating the service data in the platform system; and S5, selecting a computing power point, a storage point, an algorithm model and business data to form a task combination, so that the utilization rate and benefit of various resources are optimal. According to the scheme, the computing power and the network resources are integrated into a whole, an efficient, extensible and flexible ubiquitous computing power network is formed, the cluster advantage of the computing power is exerted, the scale efficiency of the computing power is improved, and global intelligent scheduling and optimization are carried out on the computing network resources.
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