May 23, 2025

Introducing AimHub — Aim now available for Teams!

Author:Gev Soghomonian
 Introducing AimHub  —  Aim now available for Teams!

Aim - the Inception

We have built Aim with the goal to become the best open-source ML experiment, evaluation tracker. Aim has been downloaded over 10 million times by teams and individuals across the whole ML spectrum. However,

Aim is designed for one person who runs only one project.

With growing adoption, its clear that the teams need much more than an open-source project.

AimHub - for Teams

The fundamental use-cases of experiment trackers are:

  • Keep track of all the moving pieces of the experiments
  • Enable comparison between the experiments
  • Organize the experiments across contributors and environments.

This is especially true if we are dealing with more than one user, more than one project.

Existing solutions, however

  • Are designed to lock you in forever.
  • No data-compatibility or an open-source fallback,
  • Cost a lot for on-premise installations.

That’s exactly what AimHub IS NOT!

AimHub: Easy and collaborative ML experiment tracking for teams.

We're excited to announce AimHub, the new platform built to help teams easily track and manage their machine learning experiments. 🚀

  • On your premises
  • Compatible with Aim
  • Full team, organization, multi-project support

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How AimHub works

AimHub is a wrapper around Aim and enables collaboration on Aim projects. AimHub allows to spin up a new Aim project with a click of a button.

Here are some basic characteristics of AimHub.

  • Easy Deployment:

AimHub can be deployed via Kubernetes or Docker Compose, making it simple to get started in most environments.

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  • Integrated & Straightforward:

Designed for seamless integration with your existing infrastructure, AimHub is fast to deploy, and fits naturally into your workflow.

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  • Team-Centric Project Management:

After creating your organization, you can build teams, invite members, and manage both public and private projects, offering flexible collaboration across groups.

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Use Cases

Here are two examples of using AimHub and its benefits.

Faster Model Development

A Fintech company running hyperparameter sweeps for their internal models.

Before AimHub:

  • Engineers used local CSVs or logs
  • It was nearly impossible to reproduce past experiments
  • Cross-team alignment was slow and painful

After AimHub:

  • Team tracks every experiment centrally
  • Auto-logging from multiple GPUs with zero config
  • Weekly syncs now start with a live dashboard instead of Excel hell

Better Teamwork

Biotech startup training models on medical datasets.

Before AimHub:

  • Sensitive data made using closed SaaS tools risky
  • Team had to build internal logging tools from scratch

After AimHub:

  • On-prem deployment with full control
  • All model runs securely logged and visualized
  • Reduced custom infra maintenance by 80%

How to Set up and Use AimHub

Using AimHub is simple and streamlined,

1. Visit the Docs:

Head over to the AimHub Documentation to review setup options and system requirements.

2. Install AimHub:

Choose your preferred deployment method:

- Kubernetes: For scalable, production-grade environments.

- Docker Compose: Ideal for quick local or small-team setups.

3. Acquire Seat Keys:

Once installed, choose your plan and get your license key for seats via the email.

4. Enable and Configure:

Activate your license, set up your organization, and configure your teams and project structure as needed.

5. Start Using AimHub:

Create team, add collaborators, and begin tracking experiments and managing projects—public or private, all within an intuitive and secure interface.

Our Vision

We didn’t just build a product. We’re building a movement:

Open, accessible, and powerful tools for ML teams everywhere.

We believe that:

  • Experiment tracking should be simple.
  • Teams should own their data and infra.
  • ML infrastructure should never be a bottleneck.

Get Started with AimHub today!

AimHub is now available with flexible plans:

  • Free (Open Source): Great for individuals and personal projects.
  • Team: Best for growing teams needing better collaboration and analytics.
  • Enterprise: Custom plans designed for organizations needing extensive integrations, strong security, and dedicated support.

For more information, check out the Pricing.

We can't wait to see how AimHub helps your team succeed with your ML projects.

Ready to see it in action? Book a demo or join our Discord to chat with the team.