Deep Learning Containersbeta

Preconfigured and optimized containers for deep learning environments.

Develope, test, and deploy your AI applications with Deep Learning Containers.

Build your deep learning project quickly on Google Cloud

Quickly prototype with a portable and consistent environment for developing, testing, and deploying your AI applications with Deep Learning Containers. These Docker images use popular frameworks and are performance optimized, compatibility tested, and ready to deploy. Deep Learning Containers provide a consistent environment across Google Cloud services, making it easy to scale in the cloud or shift from on-premises. You have the flexibility to deploy on Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm.

Popular framework support

Deep Learning Containers support the most popular machine learning frameworks, like TensorFlow, PyTorch, and scikit learn, with more coming soon.

TensorFlow logo PyTorch logo Scikit Learn logo


Consistency to move from on-premises

Consistent environment

Deep Learning Containers provide the portability and consistency to move from on-premises to cloud scale.

Quickly start with required frameworks libraries, etc.

Fast prototyping

Get started quickly with all the required frameworks, libraries, and drivers pre-installed and tested for compatibility.

Accelerate your training with latest frameworks

Performance optimized

Accelerate your model training and deployment with the latest framework versions and NVIDIA® CUDA-X AI libraries.


This product is in beta. For more information on our product launch stages, see here.

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Deep Learning Containers