Neu.ro Documentation
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Introduction
First Steps
FAQ
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Neu.ro Core
Platform Overview
Clusters and Roles
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Working with the Platform
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Neu.ro Web UI
Terminal
Working with Jupyter
Working With the Storage and Registry
Neu.ro Toolbox
Accessing Remote Storage
Remote Debugging
Experiment Tracking
Hyperparameter Tuning
Serving and Deploying
Working With the Sandbox
Distributed Training in PyTorch
CI with GitHub Actions
ADMINISTRATION
Overview and Installation
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Introduction

The basics

​Neu.ro is a flexible and robust machine learning platform. It consists of two parts:
  • Neu.ro Core is a resource orchestrator. It can be installed in a cloud or on-premise and combines computation capabilities, storage, and environments (Docker images) in one system with single sign-on authentication (SSO) and advanced permission management system. This frees teams working with Neu.ro from DevOps.
  • Neu.ro Toolbox is a toolset integrator. It contains integrations with various open-source and commercial tools required for modern ML/AI development. This addresses the majority of MLOps issues a team may have.
If you're new to Neu.ro, here are two simple steps to get started:

Digging deeper

For detailed information on specific use cases, feel free to refer to our ML development guides. For example:
Also, take a look at our CLI reference and Python API reference.
To get more help, refer to the FAQ or contact us at [email protected].
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First Steps
Last modified 6mo ago
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Contents
The basics
Digging deeper