![]() Here are a few step-by-step guides on getting started with NGC’s Jupyter Notebooks: image segmentation, recommender system, medical imaging. Upload the Jupyter Notebook inside the JupyterLab.Make sure that your system has the requirements mentioned in the NGC resource.Download the Jupyter Notebook from NGC.This page has links to interactive demos that allow you to try some our tools for free online, thanks to, a free public service provided by the Jupyter community. Project Jupyter builds tools, standards, and services for many different use cases. Jupyter Notebooks from the NGC catalog can run on GPU-powered on-prem systems, including NVIDIA DGX™, as well as on cloud instances. Use our tools without installing anything. This will launch the JupyterLab instance on the selected infrastructure with optimal configuration, preload the software dependencies as a kernel, and download the Jupyter Notebook from the NGC catalog in essentially one click. Identify the deep learning framework, SDK, or AI model to deploy from the catalog, and open the product page. ![]() Instructions for running a Jupyter Notebook from the NGC catalog. The NGC catalog provides a one-click deploy approach for setting up a Jupyter environment on Google Cloud Vertex AI, simplifying deployment so data scientists can focus on AI development.
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