Skip to content

Update nvcr.io/nvidia/cuda Docker tag to v13 #14431

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
renovate-bot wants to merge 1 commit into
base: main
Choose a base branch
from
+3 −3
Open

Update nvcr.io/nvidia/cuda Docker tag to v13 #14431

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion dataflow/gpu-examples/tensorflow-landsat-prime/Dockerfile
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@
# NVIDIA CUDA container: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda
# Supported NVIDIA images: https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/supported-tags.md
# TensorFlow/CUDA compatibility: https://www.tensorflow.org/install/source#gpu
FROM nvcr.io/nvidia/cuda:12.5.1-cudnn-runtime-ubuntu22.04
FROM nvcr.io/nvidia/cuda:13.3.0-cudnn-runtime-ubuntu22.04

@gemini-code-assist gemini-code-assist Bot Jul 17, 2026

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

critical

Upgrading to CUDA 13.3.0 is incompatible with TensorFlow 2.21.0 (specified in requirements.txt). TensorFlow 2.21.0 is built against CUDA 12.x. Upgrading to CUDA 13 will prevent TensorFlow from detecting or utilizing the GPU, causing the pipeline's GPU check to fail at runtime. Keep the CUDA version at 12.x to maintain compatibility.

FROM nvcr.io/nvidia/cuda:12.5.1-cudnn-runtime-ubuntu22.04


WORKDIR /pipeline

Expand Down
2 changes: 1 addition & 1 deletion dataflow/gpu-examples/tensorflow-landsat/Dockerfile
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@
# NVIDIA CUDA container: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda
# Supported NVIDIA images: https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/supported-tags.md
# TensorFlow/CUDA compatibility: https://www.tensorflow.org/install/source#gpu
FROM nvcr.io/nvidia/cuda:12.5.1-cudnn-runtime-ubuntu22.04
FROM nvcr.io/nvidia/cuda:13.3.0-cudnn-runtime-ubuntu22.04

@gemini-code-assist gemini-code-assist Bot Jul 17, 2026

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

critical

Upgrading to CUDA 13.3.0 is incompatible with TensorFlow 2.21.0 (specified in requirements.txt). TensorFlow 2.21.0 is built against CUDA 12.x. Upgrading to CUDA 13 will prevent TensorFlow from detecting or utilizing the GPU, causing the pipeline's GPU check to fail at runtime. Keep the CUDA version at 12.x to maintain compatibility.

FROM nvcr.io/nvidia/cuda:12.5.1-cudnn-runtime-ubuntu22.04


WORKDIR /pipeline

Expand Down
2 changes: 1 addition & 1 deletion dataflow/gpu-examples/tensorflow-minimal/Dockerfile
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@
# NVIDIA CUDA container: https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda
# Supported NVIDIA images: https://gitlab.com/nvidia/container-images/cuda/blob/master/doc/supported-tags.md
# TensorFlow/CUDA compatibility: https://www.tensorflow.org/install/source#gpu
FROM nvcr.io/nvidia/cuda:12.5.1-cudnn-runtime-ubuntu22.04
FROM nvcr.io/nvidia/cuda:13.3.0-cudnn-runtime-ubuntu22.04

@gemini-code-assist gemini-code-assist Bot Jul 17, 2026

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

critical

Upgrading to CUDA 13.3.0 is incompatible with TensorFlow 2.21.0 (specified in requirements.txt). TensorFlow 2.21.0 is built against CUDA 12.x. Upgrading to CUDA 13 will prevent TensorFlow from detecting or utilizing the GPU, causing the pipeline's GPU check to fail at runtime. Keep the CUDA version at 12.x to maintain compatibility.

FROM nvcr.io/nvidia/cuda:12.5.1-cudnn-runtime-ubuntu22.04


WORKDIR /pipeline

Expand Down