Substratus is an AI tool empowering users to construct, train, and implement cutting-edge machine learning models across various cloud providers. With Substratus, users can swiftly deploy state-of-the-art open-source LLMs (Large Language Models) in minutes, sans the intricacies of complex setup or infrastructure management.
The tool offers prepackaged container images facilitating the integration of popular state-of-the-art models. Once integrated, users can launch remote notebooks effortlessly to delve into the code. Substratus streamlines the fine-tuning process by managing the heavy lifting of model refinement on suitable hardware.
Users can simply select a pre-existing model, register a training dataset, and delegate the rest to Substratus. At its core, Substratus seamlessly integrates with Kubernetes, utilizing its controllers to orchestrate all machine learning operations. From importing datasets to model training and serving, Kubernetes ensures smooth execution across diverse environments with minimal dependencies. Substratus can be deployed wherever Kubernetes operates, offering both flexibility and scalability.
To facilitate user onboarding, Substratus provides comprehensive documentation, including an introduction and quickstart guide. Additionally, a vibrant community offers support through platforms like Stack Overflow and Discord.
Substratus is engineered to expedite the development and deployment of AI models, empowering users to concentrate on their data while alleviating the burdens of infrastructure and the complexities of machine learning operations.
