AI Stack Docs
GETTING STARTED
Introduction
Welcome to the AI-Stack User Manual. This guide introduces the features and standard operations of AI-Stack, a Machine Learning Management Platform designed for flexible, scalable AI development.
Browser Requirements
To ensure full platform functionality:
Use Chrome v60+ or Firefox v60+
Older browsers may result in unexpected behavior or limited features.
Self-Service AI Environment
AI-Stack provides a self-service environment where users can:
Configure container resources on demand
Mount CPUs, GPUs, memory, and network drives
Select AI/ML frameworks like TensorFlow
View and manage system resources relevant to your workload
Project-Based Resource Allocation
The platform operates on a project-based structure, allowing users to create and manage resources tailored to:
Specific objectives or experiments
Departmental research
Internal competitions or training
Event demonstrations
Each project is provisioned with dedicated resources, and users may participate in multiple projects simultaneously — helping improve resource efficiency and budget control.
💡 Tip: Projects must be approved before you can create containers or jobs.
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