Frontiers of Data and Computing ›› 2019, Vol. 1 ›› Issue (2): 86-97.

doi: 10.11871/jfdc.issn.2096-742X.2019.02.008

Special Issue: “人工智能”专刊

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Research and Application of A Platform for Artificial Intelligence Computing and Data Services

Wang Yangang1,2,Wang Jue1,2,Cao Rongqiang1,2,*()   

  1. 1. Department of Artificial Intelligence Technology and Application Development, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-09-20 Online:2019-12-20 Published:2020-01-15
  • Contact: Cao Rongqiang


[Background] The rapid development of artificial intelligence technology depends on large-scale computing and data resources. Massive computing capacity is an effective guarantee for fast training of deep learning models. Standardized data is an important basis for artificial intelligence algorithms to carry out training processes and accuracy improvements. [Objective]The artificial intelligence computing and data service platform can effectively integrate computing, data and software resources into a unified virtual infrastructure. The platform can provide an integrated working environment for researchers. Besides, it also supports full life-cycle of model design, training and inference. [Methods] Under the circumstance of the convergence of artificial intelligence and high performance computing, we discuss typical usage scenarios, key features, and non-functional requirements related to artificial intelligence platforms. The platform for Artificial Intelligence Computing and Data Application Services at the Chinese Academy of Sciences is introduced. Then the architecture and services of the platform are discussed to address the issues in design and implement of the platform. [Results] By means of Web Services, command lines and online debug tools, the platform can support the rapid creation of artificial intelligence models in an easy-to-use way, process massive training jobs, and enable data access and transfer. [Conclusions] The platform for artificial intelligence and data services can provide an easy-to-use integrated work environment, and further advance the development of artificial intelligence in multiple research areas and disciplines.

Key words: artificial Intelligence platform, computing service, resource service, application service