Choose a container image

This page helps you choose which container image to use.

Choose a container image type

Deep Learning Containers supports each framework version based on a schedule to minimize security vulnerabilities. Review the Deep Learning Containers framework support policy to understand the implications of the end-of-support and end-of-availability dates.

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 appropriate container image, see the tables below.

Base versions

ML framework version Current patch version Supported accelerators End of patch and support date End of availability date Image family name
Base-cu121 CUDA 12.1 (Python 3.10) GPU (CUDA 12.1) Feb 28, 2024 Feb 28, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-cu121.py310
Base-cu118 CUDA 11.8 (Python 3.10) GPU (CUDA 11.8) Jul 1, 2024 Jul 1, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-gpu.py310
Base-cu113 (Python 3.10) CUDA 11.3 GPU (CUDA 11.3) Jan 1, 2024 Jan 1, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-cu113.py310
Base-cu113 (Python 3.7) CUDA 11.3 GPU (CUDA 11.3) Sep 1, 2023 Sep 1, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-cu113.py37
Base-cu110 (Python 3.10 / Debian 11) CUDA 11.0 GPU (CUDA 11.0) Jan 1, 2024 Jan 1, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-cu110.py310
Base-cu110 (Python 3.7) CUDA 11.0 GPU (CUDA 11.0) Sep 1, 2023 Sep 1, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/base-cu110.py37

TensorFlow versions

ML framework version Current patch version Supported accelerators End of patch and support date End of availability date Image family name
2.15 (Python 3.10) 2.15.0 CPU only Nov 14, 2024 Nov 14, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-cpu.2-15.py310
2.15 (Python 3.10) 2.15.0 GPU (CUDA 12.1) Nov 14, 2024 Nov 14, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-gpu.2-15.py310
2.14 (Python 3.10) 2.14.0 CPU only Sep 26, 2024 Sep 26, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-cpu.2-14.py310
2.14 (Python 3.10) 2.14.0 GPU (CUDA 11.8) Sep 26, 2024 Sep 26, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-gpu.2-14.py310
2.13 (Python 3.10) 2.13.0 CPU only Jul 5, 2024 Jul 5, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-cpu.2-13.py310
2.13 (Python 3.10) 2.13.0 GPU (CUDA 11.8) Jul 5, 2024 Jul 5, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-gpu.2-13.py310
2.12 (Python 3.10) 2.12.0 CPU only Jun 30, 2024 Jun 30, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-cpu.2-12.py310
2.12 (Python 3.10) 2.12.0 GPU (CUDA 11.8) Jun 30, 2024 Jun 30, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-gpu.2-12.py310
2.11 (Python 3.10) 2.11.0 CPU only Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-cpu.2-11.py310
2.11 (Python 3.10) 2.11.0 GPU (CUDA 11.3) Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-gpu.2-11.py310
2.11 2.11.0 CPU only Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-cpu.2-11.py37
2.11 2.11.0 GPU (CUDA 11.3) Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-gpu.2-11.py37
2.10 (Python 3.10) 2.10.1 CPU only Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-cpu.2-10.py310
2.10 (Python 3.10) 2.10.1 GPU (CUDA 11.3) Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-gpu.2-10.py310
2.10 2.10.1 CPU only Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-cpu.2-10.py37
2.10 2.10.1 GPU (CUDA 11.3) Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-gpu.2-10.py37
2.9 2.9.3 CPU only Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-cpu.2-9.py37
2.9 2.9.3 GPU (CUDA 11.3) Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-gpu.2-9.py37
2.8 2.8.4 CPU only Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-cpu.2-8.py37
2.8 2.8.4 GPU (CUDA 11.3) Nov 15, 2023 Nov 15, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf2-gpu.2-8.py37
2.6 (Python 3.9) 2.6.5 CPU only Aug 10, 2023 Aug 10, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-cpu.2-6.py39
2.6 (Python 3.9) 2.6.5 GPU (CUDA 11.3) Aug 10, 2023 Aug 10, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-gpu.2-6.py39
2.6 (Python 3.7) 2.6.5 CPU only Sep 1, 2023 Sep 1, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-cpu.2-6.py37
2.6 (Python 3.7) 2.6.5 GPU (CUDA 11.3) Sep 1, 2023 Sep 1, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-gpu.2-6.py37
2.3 2.3.4 CPU only Sep 1, 2023 Sep 1, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-cpu.2-3.py37
2.3 2.3.4 GPU (CUDA 11.3) Sep 1, 2023 Sep 1, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/tf-gpu.2-3.py37

PyTorch versions

ML framework version Current patch version Supported accelerators End of patch and support date End of availability date Image family name
2.0 (Python 3.10) 2.0.0 CUDA 11.8 Mar 15, 2024 Mar 15, 2025 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/pytorch-gpu.2-0.py310
1.13 (Python 3.10) 1.13.1 CUDA 11.8 Dec 8, 2023 Dec 8, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/pytorch-gpu.1-13.py310
1.13 1.13.1 CUDA 11.8 Dec 8, 2023 Dec 8, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/pytorch-gpu.1-13.py37
1.12 (Python 3.10) 1.12.1 CUDA 11.3 Dec 8, 2023 Dec 8, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/pytorch-gpu.1-12.py310
1.12 1.12.1 CUDA 11.3 Sep 1, 2023 Sep 1, 2024 us-docker.pkg.dev/deeplearning-platform-release/gcr.io/pytorch-gpu.1-12.py37

TensorFlow Enterprise container images

TensorFlow Enterprise container images provide a Google Cloud optimized distribution of TensorFlow. For more information about TensorFlow Enterprise including which versions are supported, see TensorFlow Enterprise overview.

Experimental images

Some Deep Learning Containers image families are experimental, as indicated by the table of image families. Experimental images are supported on a best-effort basis, and may not receive refreshes on each new release of the framework.

Listing all available versions

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

gcloud container images list --repository="us-docker.pkg.dev/deeplearning-platform-release/gcr.io"

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.