ML Infrastructure. Slothfully Simple.

Deploy production-ready MLOps in minutes, not months.

Tired of tangled configs, YAML jungles, and broken ML pipelines? So were we.

MLOX gives you a calm, streamlined way to deploy, monitor, and maintain production-grade MLOps infrastructure—without rushing.

It’s for engineers who prefer thoughtful systems over chaos. Powered by sloths. Backed by open source.

Get Started View Documentation
Maintainability Code Coverage GitHub Issues GitHub Discussions
MLOX Dashboard Interface

What can you do with MLOX?

🏗️

Infrastructure

  • ✓ Manage servers: add, remove, tag, and name
  • ✓ Choose your runtime: Native, Docker, or Kubernetes
  • ✓ Spin up Kubernetes: single node or multi‑node clusters
🔧

Services

  • ✓ Install, update, and remove services without fuss
  • ✓ Centralized secrets and configuration, ready to use
  • ✓ Secure Docker services: MLflow, Airflow, LiteLLM, Ollama, InfluxDB, Redis, and more
  • ✓ Kubernetes add‑ons: Dashboard, Helm, Headlamp
  • ✓ Import GitHub repositories — public or private — with ease
☁️

GCP Integrations

Use GCP integrations in your code:

  • ✓ BigQuery
  • ✓ Secret Manager
  • ✓ Cloud Storage
  • ✓ Sheets

Why Choose MLOX?

🌐

Open Source & Community Driven

Fully open-source under the MIT license, built by the community for the community. We believe in transparency and collaboration.

💰

Cost-Effective MLOps

Cloud MLOps solutions can cost thousands per month. MLOX runs on your infrastructure, giving you production-grade MLOps without vendor lock-in.

🦥

Sloth-Paced Philosophy

We believe in thoughtful, calm systems over rushed chaos. Move fast by moving deliberately, with sensible defaults and clear documentation.

🚀

Production-Ready

Built for production from day one. Secure by default, scalable by design, and maintainable for the long haul. No prototypes—just solid infrastructure.

See MLOX in Action

Experience the power of MLOX through our intuitive interface and comprehensive tooling

MLOX Infrastructure Control

Infrastructure Control

Manage servers and clusters with ease

MLOX Service Management

Service Management

Deploy and manage ML services effortlessly

MLOX GIT & Cloud Integrations

Git & Cloud Integrations

Seamless integration with Git and Cloud Platforms

MLOX Real-time Monitoring

Real-time Monitoring

Track performance and metrics in real-time

MLOX TUI

Terminal UI

Low bandwidth configuration management

MLOX Dashboard Overview

CLI

Build for automation.

Get Started

Sloth-Friendly Setup

Easing into MLOX should feel like a lazy stretch on a sunny branch

1

Install Task

Install Task — our go-powered task runner

# Visit https://taskfile.dev/installation/ for installation instructions

💡 Note: Task is a modern task runner / build tool that aims to be simpler and easier to use than GNU Make

2

Clone the Repository

Get the MLOX source code

git clone https://github.com/BusySloths/mlox.git
3

Run First Steps

Mosey into the project and run the setup

task first:steps

💡 Note: This unhurried command crafts a conda environment and gathers every dependency for you

4

Want the Big Picture?

Check out our comprehensive guides

💡 Note: For a more detailed guide, check out our Installation Guide. You can also view our MLOX – State of the Union — a short slide overview of what MLOX is, what problem it solves, and where it's heading.

Big Thanks to our Sponsors and Supporters

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