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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