Quick Start Guide
Note: 1. When the platform is activated as 'Training and Inference Standard Edition' and the current user's business scope is training, the public and training modules shown in the figure are displayed; 2. When the platform is activated as 'Training and Inference Standard Edition' and the current user's business scope is inference, the public and inference modules shown in the figure are displayed; 3. When the platform is activated as 'Training Standard Edition', the public and training modules shown in the figure are displayed; 4. When the platform is activated as 'Inference Standard…
Overview
The AI platform is customer-centric, leveraging independent R&D and continuous technological innovation. Focusing on industry users in security, finance, energy, automotive, and education, it aims to become a leading, high-performance, scalable, and secure enterprise-grade AI platform. The AI platform provides unified resource management and multi-strategy scheduling for heterogeneous computing clusters, visual AI modeling, AI training jobs, and full lifecycle management for AI service deployment…
Quick Start Operation Guide
The Quick Start Operation Guide helps users quickly begin basic AI algorithm development and training tasks. The platform provides four directories for data storage: personal home directory, sample data directory, global shared directory under the public directory, and group shared directory. Regular users can upload data via the page or using SFTP tools. The following describes the operation of uploading data via SFTP; Open the X… on the PC
Workflow Business Usage Guide
Use the workflow platform to quickly launch training by defining multiple subtasks in workflow resources. After training, data is stored in the platform, forming a complete business flow. The platform supports scheduled execution, with status, detailed information, and runtime displayed for each step, enabling rapid...
Training Job Execution Reference Guide
Note: Currently, training scripts run under the assumption that the user is logged in as tmpUser. If using a different user, modify the relevant paths in the script; for example, change /tmpUser/xxx to the corresponding user path /$user/xxx. 1. Click the "Create" button to start creating a TensorFlow single-machine job. 2. Fill in the job information. Image: Select the TensorFlow image...