Description
Substratus is an AI tool that enables users to create, train, and deploy advanced machine learning models across various cloud platforms. It facilitates the swift and straightforward deployment of state-of-the-art open-source LLMs (Large Language Models) in mere minutes, eliminating intricate setup or infrastructure management. The tool provides pre-built container images that support importing widely-used, cutting-edge models.
Once imported, users have the ability to initiate remote notebooks for seamless code exploration. Substratus streamlines the fine-tuning process by managing the complex task of refining models on appropriate hardware resources.
Users can simply pick a ready-made model, register a training dataset, and let Substratus handle the rest. At its core, Substratus integrates with Kubernetes, utilizing its controllers to manage all machine learning processes.
From dataset import to model training and deployment, Kubernetes guarantees smooth execution across diverse environments with minimal dependencies. Substratus offers deployment versatility and scalability, running wherever Kubernetes is supported. To help users begin, Substratus offers comprehensive documentation, including both an introduction and a quickstart guide.
Furthermore, a supportive community is readily available on platforms like Stack Overflow and Discord. Substratus aims to expedite the creation and deployment of AI models, enabling users to concentrate more on their data and less on infrastructure and the complexities of machine learning.
