AI Development Environment Without DevOps

What is the Orion AI development environment

The Orion AI development environment is a fully managed workspace for AI and data science teams, designed to remove DevOps overhead and keep the focus on models and data.

Standardized and thoroughly tested software stack

Stable, long-running sessions

Work directly in the browser or through local tools

Full infrastructure power operating seamlessly in the background

Your focus remains exactly where it belongs - on models and data

The problem we solve

AI teams often lose weeks dealing with:

• incompatible CUDA versions
• drivers and libraries
• Docker conflicts
• manual DevOps setup

Our solution:

A Zero-Ops environment. Everything is preconfigured and works immediately - out of the box.

How development works in practice

Within the management console, you can:

• run multiple parallel environments per project
• choose from different AI stacks
• view session status and duration
• pause and resume work without any loss of state

One team. Multiple projects. Full control.

Key features

No setup required

Select a preconfigured template (PyTorch, TensorFlow, RAPIDS) and start working immediately. No manual configuration and no dependency on a DevOps team.

Hybrid approach

• Work directly in the browser (JupyterLab)
• Or connect via SSH from your local VS Code environment

Work the way you're used to - the infrastructure adapts to you.

Persistent data

Your code, models, and Conda environments are stored on NetApp NVMe storage. Pause today, resume tomorrow - with no reconfiguration required.

Supported tools and environments

Who development is designed for

AI and data science teams

Early-stage and growth-stage AI startups

Enterprise teams seeking standardization

Organizations aiming for rapid time-to-first-model

Sovereign storage for AI models and containers

Your AI models, Docker images, and pipelines are critical intellectual property. Orion AI Factory provides a private, sovereign container registry, located directly next to compute and inference resources. Key benefits:

Zero latency access

Local NVMe storage enables model loading in seconds

Security and access control

Registry available only within the AI Factory environment

IP protection

No exposure to public container registries

NVIDIA NGC proxy cache

Faster access to NVIDIA models and frameworks

Built for CI/CD and MLOps

No data ever leaves the infrastructure

Your models remain fully protected, instantly available, and under your complete control.

Start building without delays or complexity.

Launch an environment Move straight to model training

AI development environment without DevOps complexity