GB/T 43782-2024
Artificial Intelligence Machine Learning System Technical Requirements (English Version)

Standard No.

GB/T 43782-2024

Language

Chinese, Available in English version

Release Date

2024

Published By

General Administration of Quality Supervision, Inspection and Quarantine of the People‘s Republic of China  CN  /  GB

Latest

GB/T 43782-2024

Introduction

GB/T 43782—2024: In-depth analysis of technical requirements for artificial intelligence machine learning systems

1. Background and significance of standard formulation

With the rapid development of artificial intelligence technology, machine learning systems are increasingly used in various industries. The formulation of GB/T 43782—2024 aims to standardize the framework and functional requirements of machine learning systems and provide a unified technical basis for the research and development, evaluation and selection of systems. The standard was proposed by the National Technical Committee for Information Technology Standardization and supported by many leading companies in the industry, ensuring its authority and practicality.

2. System framework analysis

According to GB/T 43782—2024, machine learning systems mainly include the following core components:
- Machine learning runtime component: Responsible for ensuring the execution environment and resource scheduling of applications.
- Machine learning framework: Provides support for model training, reasoning and algorithm libraries.
- Machine Learning Service Component: Supports workflow management and various types of service calls.
- Tools and Operation Management: Includes key functions such as data management, model development, and system operation and maintenance.

Component categories	Core functions	Application scenarios
Runtime components	Device driver and operator library support	Scheduling and execution of machine learning tasks
Machine Learning Framework	Model training and inference functions	Algorithm development and optimization
Service components	Workflow management and service deployment	Industry application integration

3. Detailed explanation of functional requirements

The functional requirements of machine learning systems cover multiple dimensions, including:

• Runtime components: Provide device drivers, resource scheduling, and operator optimization capabilities.
• Framework functions: Support distributed training, automatic hybrid parallelism, and multi-backend execution.
• Service components: Implement unified interfaces and service fault tolerance mechanisms.

4. Reliability and maintainability requirements

The system needs to have:

Fault tolerance mechanism: Detect abnormal inputs and prompt errors.
Fault isolation capability: Support rapid isolation of node faults in cluster training.
Maintainability analysis: Evaluate the impact of data interference on system performance.

5. Implementation recommendations and future prospects

Based on the GB/T 43782-2024 standard, when implementing machine learning systems, enterprises should:

• Choose frameworks and tool chains that meet functional requirements.
• Optimize resource scheduling strategies to improve performance.
• Strengthen the system's fault tolerance and maintenance capabilities.

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Case Study: Practical Application of Model Compiler

An enterprise uses the model compiler to deploy trained deep learning models to edge computing devices. The execution efficiency of the model on specific hardware is improved through custom operator registration and compilation optimization.

GB/T 43782-2024 Referenced Document

• GB/T 17235.1 Information technology--Digital compression and coding of continuous-tone still images--Part 1: Requirements and guidelines
• GB/T 33475.2 Information technology - Efficient multimedia coding - Part 2: Video*， 2024-05-28 Update
• GB/T 33475.3 Information technology—High efficiency media coding—Part 3: Audio
• GB/T 41867-2022 Information technology—Artificial intelligence—Terminology
• GB/T 42018 Information technology—Artificial intelligence—Platform computing resource specification
• ISO/IEC 15948 Information technology - Computer graphics and image processing - Portable Network Graphics (PNG): Functional specification
• ISO/IEC 23008-2 Information technology — High efficiency coding and media delivery in heterogeneous environments — Part 2: High efficiency video coding*， 2025-03-21 Update
• ISO/IEC 23008-3 Information technology — High efficiency coding and media delivery in heterogeneous environments — Part 3: 3D audio*， 2026-02-03 Update

GB/T 43782-2024 history

• 2024 GB/T 43782-2024 Artificial Intelligence Machine Learning System Technical Requirements

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