Jupyter Notebooks with Google (Vertex AI vs. Colab) скачать в хорошем качестве

Jupyter Notebooks with Google (Vertex AI vs. Colab)

Welcome to our in-depth comparison of two powerful Google Cloud-based platforms for running data science notebooks like Jupyter: Google Colab and Vertex AI Workbench. This video is designed to give you an understanding of their unique features, use-cases, and differences, to help you make an informed decision on which one to use for your projects. In this video, we delve into: The general understanding of Google Colab within academia and researchers, and Vertex AI Workbench within enterprise business environments. A step-by-step guide to setting up Vertex AI Workbench: enabling APIs, creating a user-managed notebook, and exploring the range of pre-configured notebooks. A comparison of the cost and configurability of Vertex AI Workbench and Google Colab. How to set up a Google Colab environment: creating a new notebook, changing the runtime type, and attaching a GPU. A look into the integration capabilities of both platforms with the Google Cloud Platform, Google Workspace, and Google Drive. The differences in multi-user access and execution between the two platforms. The process of getting started with both Google Colab and Vertex AI Workbench. Vertex AI Workbench Setup:    • Setting Up Jupyter Notebooks on Googl...   Free Trial - Our New Diagram Tool: https://softwaresim.com/pricing/ ("YOUTUBE24" for 25% Off) If you are a cloud, DevOps, or software engineer you’ll probably find our wide range of YouTube tutorials, demonstrations, and walkthroughs useful - please consider subscribing to support the channel. 0:00 Conceptual overview 0:55 Vertex AI Workbench notebook creation 3:45 Colab notebook creation 4:55 Machine and terminal access 5:52 Integration concepts 8:23 Multi-user considerations 9:25 Getting started