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What is Substratus?

Substratus is an AI tool that allows you to easily build, train, and serve state-of-the-art models.With a quickstart deployment and open-source support, you can have your models up and running in minutes.

The tool offers prepackaged container images, making it easy to import popular state-of-the-art models.Remote notebooks are available for a seamless coding experience.Fine-tuning is made simple with Substratus - pull an open-source model from the shelf, register your training dataset, and let Substratus handle the heavy-lifting to fine-tune the model on suitable hardware.

Powered by Kubernetes, Substratus provides efficient orchestration of ML operations including importing datasets and serving models.With minimal dependencies, Substratus can run anywhere Kubernetes runs.

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⭐ Substratus Core features

  • ✔️ Build
  • ✔️ Train
  • ✔️ Serve
  • ✔️ Fine-tune

⚙️ Substratus use case ideas

  1. Fine tune open source models on Kubernetes clusters.
  2. Deploy and serve Open source LLMs in minutes.

🙋‍♂️ Users of this tool

Machine learning engineers
Data scientists
Ai developers
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❓ Substratus FAQ

Substratus is an AI tool for building, training, and serving models. It offers prepackaged container images, remote notebooks, and fine-tuning capabilities. Powered by Kubernetes, it provides efficient orchestration of ML operations.
Getting started with Substratus is easy! Simply visit the official website and sign up for an account to start.
Substratus uses a Free pricing model , meaning there is a free tier along with other options.
The typical users of Substratus include:
  • Machine learning engineers
  • Data scientists
  • Ai developers
Follow Substratus on social media to stay updated with the latest news and features:
Substratus enjoys a popularity rating of 4.57/10 on our platform as of today compared to other tools. Specific monthly traffic data may not be available yet on our platform.