Deep Learning VM Images documentation | Google Cloud
Deep Learning VM Images are virtual machine images optimized for data science and machine learning tasks. These images come with key ML frameworks and tools pre-installed, allowing users to utilize them out of the box on instances with GPUs for accelerated data processing tasks. To learn more, you can visit the introduction page.
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Quickstart Guides
- Quickstart: Create an instance by using the Google Cloud console
- Quickstart: Create an instance by using the gcloud CLI
Deep Learning VM Documentation Sections
- Introduction to Deep Learning VM
- Create a TensorFlow Deep Learning VM instance
- Create a PyTorch Deep Learning VM instance
- Choose an image
- Images, image families, and instances
- Connect to JupyterLab
- Pricing
- Release notes
- Getting support
Unless otherwise noted, the content on this page is licensed under the Creative Commons Attribution 4.0 License, while the code samples are licensed under the Apache 2.0 License. For more details, refer to the Google Developers Site Policies. Please note that Java is a registered trademark of Oracle and/or its affiliates. Last updated on 2025-02-28 UTC.
Deep Learning VM Images also provide the capability to work with popular machine learning libraries and frameworks. These pre-installed tools can assist in various data science tasks.
For a comprehensive web interface experience, users can connect to JupyterLab within the Deep Learning VM Images environment. JupyterLab offers a user-friendly interface for working with data and code seamlessly.
