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Work item:
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F.AICP-GA
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Subject/title:
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Technical specification for artificial intelligence cloud platform: General architecture
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Status:
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[Carried to next study period]
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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-
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Liaison:
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ISO/IEC SC42
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Supporting members:
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Alibaba, Tencent Cloud Computing, Baidu Netcom Science Technology, Zhejiang Lab
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Summary:
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With the continuous development and integration of artificial intelligence and cloud computing, the processing of big data and the training of deep learning models have become core issues. Cloud service providers have launched various artificial intelligence cloud platforms, integrating the underlying resources with the upper-level deep learning framework, and providing users with common services such as training and inference. There are many artificial intelligence platforms currently on the market, their functions are not uniform, and their quality is uneven, and their functions cannot fully meet the urgent needs of users. This proposal regulates the artificial intelligence cloud platforms capabilities provided by service providers from the following six aspects: resource management, model development, model deployment, high availability, performance, platform security. This proposal provides a reference for manufacturers to build artificial intelligence cloud platforms and user selection by regulating the capabilities of artificial intelligence cloud platforms, so as to promote the orderly development of industry standards.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2021-01-04 09:57:02
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Last update:
2021-11-12 10:52:19
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