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Os contêineres de aprendizado profundo são um conjunto de contêineres do Docker com
os principais frameworks, bibliotecas e ferramentas de ciência de dados pré-instalados.
Esses contêineres oferecem ambientes consistentes e otimizados para desempenho que ajudam a prototipar e implementar fluxos de trabalho rapidamente.
As imagens do Deep Learning Containers podem ser configuradas para incluir o seguinte:
Frameworks:
TensorFlow
PyTorch
R
scikit-learn
XGBoost
Python, incluindo estes pacotes:
numpy
sklearn
scipy
pandas
nltk
pillow
fairness-indicators
para instâncias 2.3 e 2.4 do Deep Learning Containers
do TensorFlow
muitos outros
Pacotes da Nvidia com o driver mais recente dela para instâncias com GPU:
CUDA 10.*, 11.* e 12.* (a versão depende do framework)
CuDNN 7.* e NCCL 2.* (a versão depende da versão CUDA)
JupyterLab
Contêineres do Model Garden
Biblioteca vLLM
Suporte da comunidade
Faça uma pergunta sobre os Deep Learning Containers no Stack
Overflow
ou participe do grupo do Google
google-dl-platform
para falar sobre esse recurso.
Consulte os guias de instruções para dar os primeiros passos com o
Deep Learning Containers.
Eles fornecem instruções sobre como criar e trabalhar com contêineres de aprendizado profundo.
[[["Fácil de entender","easyToUnderstand","thumb-up"],["Meu problema foi resolvido","solvedMyProblem","thumb-up"],["Outro","otherUp","thumb-up"]],[["Difícil de entender","hardToUnderstand","thumb-down"],["Informações incorretas ou exemplo de código","incorrectInformationOrSampleCode","thumb-down"],["Não contém as informações/amostras de que eu preciso","missingTheInformationSamplesINeed","thumb-down"],["Problema na tradução","translationIssue","thumb-down"],["Outro","otherDown","thumb-down"]],["Última atualização 2025-09-04 UTC."],[[["\u003cp\u003eDeep Learning Containers are Docker containers that come pre-installed with essential data science frameworks, libraries, and tools.\u003c/p\u003e\n"],["\u003cp\u003eThese containers are designed to offer consistent, performance-optimized environments to accelerate the prototyping and implementation of workflows.\u003c/p\u003e\n"],["\u003cp\u003ePre-installed software includes frameworks like TensorFlow, PyTorch, R, scikit-learn, XGBoost, as well as various Python packages and Nvidia packages.\u003c/p\u003e\n"],["\u003cp\u003eDeep Learning Containers also include Hugging Face frameworks and libraries such as the Text Generation Inference toolkit, and the Transformers library.\u003c/p\u003e\n"],["\u003cp\u003eCommunity support is available via Stack Overflow or the google-dl-platform Google group for questions and discussions about Deep Learning Containers.\u003c/p\u003e\n"]]],[],null,["# Deep Learning Containers overview\n\nDeep Learning Containers are a set of Docker containers\nwith key data science frameworks, libraries, and tools pre-installed.\nThese containers provide you with performance-optimized, consistent\nenvironments that can help you prototype and implement workflows quickly.\n\nTo learn\nmore about containers, see [Containers at Google](/containers).\n\nPre-installed software\n----------------------\n\nDeep Learning Containers images can be configured to include the following:\n\n- Frameworks:\n\n - TensorFlow\n - PyTorch\n - R\n - scikit-learn\n - XGBoost\n- Python, including these packages:\n\n - numpy\n - sklearn\n - scipy\n - pandas\n - nltk\n - pillow\n - [fairness-indicators](https://www.tensorflow.org/responsible_ai/fairness_indicators/guide) for TensorFlow 2.3 and 2.4 Deep Learning Containers instances\n - many others\n- Nvidia packages with the latest Nvidia driver for GPU-enabled instances:\n\n - CUDA 10.\\*, 11.\\*, and 12.\\* (the version depends on the framework)\n - CuDNN 7.\\* and NCCL 2.\\* (the version depends on the CUDA version)\n- JupyterLab\n\n- Model Garden containers\n\n - vLLM library\n\nCommunity support\n-----------------\n\nAsk a question about Deep Learning Containers on [Stack\nOverflow](https://stackoverflow.com/questions/tagged/google-dl-platform)\nor join the\n[google-dl-platform](https://groups.google.com/forum/#!forum/google-dl-platform)\nGoogle group to discuss Deep Learning Containers.\n\n[Learn more about getting support from the\ncommunity](/deep-learning-containers/docs/getting-support#get_support_from_the_community).\n\nWhat's next\n-----------\n\nYou can get started with Deep Learning Containers by walking through\nthe [How-to guides](/deep-learning-containers/docs#how-to),\nwhich provide instructions on create and work with deep learning containers."]]
