JupyterLab® in Standalone Applications
Ready-to-use PyTorch® environment and instant access to NVIDIA GPUs.
Start building in minutes.
Reduced complexity
Benefit from a simplified approach to using JupyterLab in a fully managed cloud environment. No need to deploy or provision compute resources or launch a Kubernetes® cluster — just start using your notebook instantly.
GPU-enabled notebook
Start working on AI tasks immediately after launching your notebook. JupyterLab in Standalone Applications runs on cloud servers powered by NVIDIA GPUs, eliminating the need for infrastructure management.
AI-ready interactive computing
Leverage the interactive computing capabilities of the latest JupyterLab, combined with persistent storage and a pre-installed PyTorch framework for seamless AI development.
Use cases
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AI prototyping
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Prototype model training pipelines and batch inference workflows.
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Develop and validate model training scenarios for large-scale training.
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Run lightweight model training and fine-tuning.
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Prototype AI applications including RAG system and agentic AI.
Data preparation
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Clean and preprocess raw data for your datasets.
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Explore new datasets to quickly validate hypotheses.
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Analyze and visualize data directly in the notebook.
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Perform feature engineering and data transformation.
How to launch JupyterLab notebook on Nebius AI Cloud
How to launch JupyterLab notebook on Nebius AI Cloud
Learn how to quickly set up and launch JupyterLab notebooks in Standalone Applications in our cloud.
PyTorch framework
JupyterLab on Nebius AI Cloud comes with the pre-installed PyTorch framework.
Persistent storage
Persistent storage saves your progress, allowing you to resume work seamlessly when you reopen the application.
Easy package management
Easily tune and customize your environment with the simple package management.
Various server configurations
Choose 1x GPU, 8x GPUs and non-GPU hosts to run JupyterLab application.
Convenient budget control
The ‘Stop’ and ‘Start’ buttons in the UI let you pause and resume the application to control costs.
Competitive pricing
Power-efficient infrastructure and streamlined operations keep NVIDIA GPU compute costs low.
Easy access via cloud console
Easy access via cloud console
JupyterLab is available via Nebius cloud console ensuring the intuitive and smooth user experience.
Ready to get started?
Sign up for the console and navigate to the Application section.
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