Enterprise-ready AI Platform
What can you do with Nebari®?
Nebari runs the AI and data science tools your team needs on infrastructure you control.
Run it on infrastructure you own
AWS, Google Cloud, Azure, Hetzner, or a Kubernetes cluster you already run, all from the same config file, including clusters with no internet access.
Pick a providerInstall only what you need
Notebooks, dashboards, model serving, a chat assistant, a coding agent.
Browse the catalogChange the cluster with a commit
Your team reviews changes the way it reviews code, and the history shows who changed what.
GitOps on NebariServe LLMs on your own hardware
Your prompts and data never leave your network.
LLM serving packKnow where every piece of software came from
The platform checks everything running on the cluster and writes a dated report for compliance.
What you don't have to do
Nebari runs the layer underneath your apps, so your team doesn't have to.
| Task | Without Nebari | With Nebari |
|---|---|---|
| Deploying an internal app | Repeat the same routing, login, and HTTPS setup for every service you deploy. | Everything that makes it a shared app comes with it: an address, HTTPS, the platform login, and a tile on the landing page. How packs work |
| Setting up sign-in for a new app | Ask an admin to add every new app to your company's login system, and wait. | Sign-in comes with the app. What's left for you is deciding who gets in, by group or role, rather than wiring up the login itself. Set up single sign-on |
| Tracking infrastructure config | Keep configuration in sync across environments manually. | Every environment is built from the same git repository, and the platform keeps each cluster's setup matching it. GitOps on Nebari |
| Watching what your apps are doing | Build and run your own pipeline for logs, metrics, and traces. | Your apps send logs, metrics, and traces to the platform, and it passes them to the monitoring system you already use. LGTM monitoring pack |
| Giving your team access to an LLM | Build your own access rules, usage limits, and API keys around the model server. | They come with each model, so two teams can have separate keys and limits. LLM serving pack |
Ecosystem of tools
Pick the pieces you need. Every project is open source and designed to work on its own or together.
Core
The platform, and the tools that manage what runs on it.
- Install NIC
Nebari core
Core infrastructure for deploying the platform on popular cloud providers, with security, authentication, role-based access, and observability built in.
- Nebi on GitHub
Nebi
Manage, share, and collaborate on the AI software lifecycle across your team. SBoM generation and compliance checks are planned.
Software Packs
Capabilities you install on top of the core, one at a time.
- LLM serving pack docs
AI model serving
Serve and monitor AI models for development workflows or production applications.
- Chat pack docs
Chat assistant
A ready-to-use chat interface, wired into platform login and connected to the models you serve.
- Pi coding agent docs
Agentic AI
Frameworks for building, deploying, evaluating, and monitoring agent-based workflows.
- Coming soon
Data orchestration
Data engineering pipelines, plus governance and provenance of data and AI assets.
Interfaces and extensions
How your team works with the platform, and how you extend it.
- Software packs dashboard
Usage-specific UIs
Jupyter and VS Code for developers, chat and dashboards for AI users, and more.
- Build your own pack
Custom integrations
An open, extensible architecture for integrating any library you need.
- Join the community
Community hub
A space for community members to share their custom packs.
Deploy anywhere
Deploy Nebari on your own infrastructure, on your local machine, or on the cloud of your choice. It is designed to be flexible, extensible, and vendor-agnostic.
Deploy on AWS
Deploy on Azure
Deploy on Hetzner
- Coming soon
Not available yet
Development principles
Open source
All projects are developed under an open source license, and built using open source software.
Community-oriented
All projects welcome community contributions and engagement in project spaces and community meetings.
Composable architecture
All projects have a modular design and integrate with each other, while also allowing for independent use and extensibility.
Popular pages
An open source stack for your AI.