Deep Learning Containers

Preconfigured and optimized containers for deep learning environments.

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Description of what the video is about.

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), Vertex AI, 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.

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

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