Welcome to Datalayer
Welcome to the documentation for Datalayer, a platform for data practitioners leveraging Jupyter supercharged with AI capabilities, rich editing, and scalable GPU/CPU runtimes. You can access these features directly from your favorite local IDEs like JupyterLab, VS Code, and CLI. Prefer a client-free experience? No problem—explore the full power of Datalayer through our online SaaS platform.
Datalayer adds AI, Rich Editing and scalable Runtimes to your Jupyter. We helps you scale your AI and Machine Learning workflows without the need to change your existing code. Our platform is designed to seamlessly integrate into your workflows and supercharge your computations with the processing power you need.
Go to the Login Page and create your account to get started with Datalayer. You will receive Free Credits to explore the platform and its features! 🚀
Whether you're an AI Engineer, Machine Learning Engineer, Data Scientist or Researcher, Datalayer enhances your productivity and performance by providing powerful Runtimes, AI and Authoring capabilities.
The capabilities can be accessed from the SaaS, JupyterLab, VS Code and CLI interfaces.
Effortless Scaling with Remote Runtimes
RuntimesScale your notebooks to cloud GPUs or CPUs instantly with Remote Runtimes. Run complex computations in the cloud from your local IDE without changing your code or moving data—just connect and go.
AI-Powered Coding
AILet AI assist in writing, refining, and optimizing your code. Save time and enhance your workflows with intelligent suggestions.
Rich Editing Experience
StudioWork in a innovative Notion-like editor that enhances your Notebook's readability. Effortlessly blend code, notes, and visual elements to create polished, easy-to-share data-driven documents.