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Deep Learning Containers are a set of Docker containers
with key data science frameworks, libraries, and tools pre-installed.
These containers provide you with performance-optimized, consistent
environments that can help you prototype and implement workflows quickly.
You can get started with Deep Learning Containers by walking through
the How-to guides,
which provide instructions on create and work with deep learning containers.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-06-12 UTC."],[[["Deep Learning Containers are Docker containers that come pre-installed with essential data science frameworks, libraries, and tools."],["These containers are designed to offer consistent, performance-optimized environments to accelerate the prototyping and implementation of workflows."],["Pre-installed software includes frameworks like TensorFlow, PyTorch, R, scikit-learn, XGBoost, as well as various Python packages and Nvidia packages."],["Deep Learning Containers also include Hugging Face frameworks and libraries such as the Text Generation Inference toolkit, and the Transformers library."],["Community support is available via Stack Overflow or the google-dl-platform Google group for questions and discussions about Deep Learning Containers."]]],[]]
