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artificial intelligence unified interfaces heterogeneous artificial intelligence artificial intelligence accelerator interfaces heterogeneous artificial intelligence accelerators artificial intelligence accelerator applications various sound calibrators bentonite inorganic gels high-energy solid propellants
GB/T 45280-2025 in English

GB/T 45280-2025 in English

VALID

Artificial intelligence—Unified interfaces for heterogeneous artificial intelligence accelerating units

  • Issued on:2025-02-28
  • Implemented on:2025-02-28
  • File Format:PDF
  • Delivery:Via email within 10 business days
Price(USD): $1,425.00
$1,383.00
Standard No: GB/T 45280-2025
Document status: VALID
Title in English: Artificial intelligence—Unified interfaces for heterogeneous artificial intelligence accelerating units
Title in Chinese: 人工智能 异构人工智能加速器统一接口
Language: English
File Format: Electronic (PDF)
Delivery: Via email within 10 business days
Issued on: 2025-02-28
Implemented on: 2025-02-28
ICS Classification: 35.020-Information technology (IT) in general
Chinese Classification: L70-Information processing technology in general
Professional Classification: GB-National Standard
Related Keywords: artificial intelligence unified interfaces
heterogeneous artificial intelligence
artificial intelligence accelerator interfaces
heterogeneous artificial intelligence accelerators
artificial intelligence accelerator applications
Related Topics: Domestic artificial intelligence technology
Baidu artificial intelligence
Baidu and AI
Data human-like intelligence
First-class accelerator 1
artificial intelligence experiment
Seongdong Artificial Intelligence
a lifetime
Domestic high energy accelerator

《GB/T 45280-2025人工智能 异构人工智能加速器统一接口》由TC28(全国信息技术标准化技术委员会)归口,TC28SC42(全国信息技术标准化技术委员会人工智能分会)执行,主管部门为国家标准委。


Scope

This document defines the unified interface of heterogeneous artificial intelligence accelerators, its semantics and usage, and describes the access methods and test methods required for each accelerator to implement this interface. This document is applicable to the design and implementation of artificial intelligence accelerator interfaces, and can also provide a reference for artificial intelligence accelerator applications.

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