<aside> 💡 Setup time: 2 minutes

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What is AIM?

Aim is an open-source, self-hosted ML experiment tracking tool.

It offers a beautiful and performant UI to track 1000s of training runs and compare them under a single dashboard.

AIM UI also offers an SDK to query your runs' metadata programmatically.

https://i.imgur.com/CcMurpQ.mp4

More info available at AIM’s GitHub Repo

AIM also outperforms Tensorboard in the following ways:

1. TensorBoard becomes really slow and hard to use when a few hundred training runs are queried / compared whereas AIM is built to handle 1000s of training runs.
2. TensorBoard doesn't have features to group, aggregate the metrics whereas with AIM you can search, group, aggregate via params - deeply explore all the tracked data (metrics, params, images) on the UI.

Why use AIM in your Q Blocks GPU instances?

Q Blocks GPU powered instances are designed to make your work as an ML engineer much easier by offering pre-configured instances with different ML environments and thus help you quickly get started with your ML model training runs and swiftly perform 1000s of experiments.

With AIM, you can now track 1000s of experiments under one roof. Thus, making your job even more easier and efficient.