Updates and Experiences of VenusAI Platform

[Objective] This paper presents an overview introduction of the VenusAI platform, focusing on its technical updates and sharing the experiences gained since its deployment. The objective is to highlight the platform's advancements, challenges, and valuable insights for other researcher and engineer in the field of AI platform. [Coverage] This paper uses keywords search and citation secondary search to collect papers and information from international computer journals, conferences and open source code warehouse. [Methods] The workflow engine tailored to different processes is designed for streamlining the AI development and enhancing operational efficiency. Then the phased optimization strategy is proposed to address unexpected events and ensure smooth resource allocation operations. Additionally, the disk repair mechanism is utilized to handle disk errors and maintain data integrity. [Experience] We provide detail of the challenges and experiences encountered on the VenusAI platform, aiming to share valuable insights and best practices for AI development. VenusAI's user-friendly toolsets, advanced functionalities, and up-to-date datasets and models make it a leading platform for AI research and development, catering to the diverse needs of both non-IT professionals and advanced researchers. [Conclusion] In conclusion, the VenusAI platform has undergone significant technical updates to improve its performance, efficiency, and stability. The implementation of the workflow engine, operation optimization strategies, and disk repair mechanism has enhanced the platform's capabilities and user experience. The experiences gained from managing VenusAI provide valuable insights for the operation of high-performance computing cluster-based AI platforms. The experience learned and challenges overcome contribute to the continuous improvement and innovation of VenusAI and similar platforms in the future.