Choosing a container image

This page helps you to choose which container image you want to use.

Choose a container image type

Each container image provides a Python 3 environment and includes the selected data science framework (such as PyTorch or TensorFlow), Conda, the NVIDIA stack for GPU images (CUDA, cuDNN, NCCL2), and many other supporting packages and tools. To find the container image that you want, see the table below.

The following list of AI Platform Deep Learning Containers image types is organized by framework type.

Framework Processor Container Image Name(s)
Base GPU gcr.io/deeplearning-platform-release/base-cu100
gcr.io/deeplearning-platform-release/base-cu101
CPU gcr.io/deeplearning-platform-release/base-cpu
TensorFlow Enterprise 2.x GPU gcr.io/deeplearning-platform-release/tf2-gpu
gcr.io/deeplearning-platform-release/tf2-gpu.2-1
CPU gcr.io/deeplearning-platform-release/tf2-cpu
gcr.io/deeplearning-platform-release/tf2-cpu.2-1
TensorFlow Enterprise 1.x GPU gcr.io/deeplearning-platform-release/tf-gpu
gcr.io/deeplearning-platform-release/tf-gpu.1-15
CPU gcr.io/deeplearning-platform-release/tf-cpu
gcr.io/deeplearning-platform-release/tf-cpu.1-15
TensorFlow 2.x GPU gcr.io/deeplearning-platform-release/tf2-gpu.2-0
CPU gcr.io/deeplearning-platform-release/tf2-cpu.2-0
TensorFlow 1.x GPU gcr.io/deeplearning-platform-release/tf-gpu.1-13
gcr.io/deeplearning-platform-release/tf-gpu.1-14
CPU gcr.io/deeplearning-platform-release/tf-cpu.1-13
gcr.io/deeplearning-platform-release/tf-cpu.1-14
PyTorch GPU gcr.io/deeplearning-platform-release/pytorch-gpu
gcr.io/deeplearning-platform-release/pytorch-gpu.1-0
gcr.io/deeplearning-platform-release/pytorch-gpu.1-1
gcr.io/deeplearning-platform-release/pytorch-gpu.1-2
gcr.io/deeplearning-platform-release/pytorch-gpu.1-3
gcr.io/deeplearning-platform-release/pytorch-gpu.1-4
CPU gcr.io/deeplearning-platform-release/pytorch-cpu
gcr.io/deeplearning-platform-release/pytorch-cpu.1-0
gcr.io/deeplearning-platform-release/pytorch-cpu.1-1
gcr.io/deeplearning-platform-release/pytorch-cpu.1-2
gcr.io/deeplearning-platform-release/pytorch-cpu.1-3
gcr.io/deeplearning-platform-release/pytorch-cpu.1-4
R CPU gcr.io/deeplearning-platform-release/r-cpu
gcr.io/deeplearning-platform-release/r-cpu.3-6

TensorFlow Enterprise container images

TensorFlow Enterprise container images provide you with a Google Cloud optimized distribution of TensorFlow with Long Term Version Support. To learn more about TensorFlow Enterprise, read the TensorFlow Enterprise overview.

Listing all available versions

If you need a specific framework or CUDA version, you can search the complete list of available container images. To list all available Deep Learning Containers images, use the following command in the gcloud command-line tool with your preferred terminal or in Cloud Shell.

gcloud container images list --repository="gcr.io/deeplearning-platform-release"

Using locally

Deep Learning Containers can be pulled and used locally. To do so, see Getting started with a local deep learning container.

What's next

  • Read the Deep Learning Containers overview to learn more about what is pre-installed on container images.
  • Get started with Deep Learning Containers by walking through the How-to guides, which provide instructions on how to build and push deep learning container images.