Deep Learning ContainersBeta
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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.
Consistent environment
Deep Learning Containers provides the portability and consistency to move from on-premises to cloud scale.
Fast prototyping
Get started quickly with all the required frameworks, libraries, and drivers pre-installed and tested for compatibility.
Performance optimized
Accelerate your model training and deployment with the latest framework versions and NVIDIA® CUDA-X AI libraries.
Popular framework support
Deep Learning Containers support the most popular machine learning frameworks, like TensorFlow, PyTorch, and scikit learn, with more coming soon.
Resources
Introducing Deep Learning Containers: Consistent and Portable Environments
Deep Learning Containers
AI Platform
Google Kubernetes Engine
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This product is in beta. For more information on our product launch stages, see here.