Nvcr.io/nvidia/tensorrt:25.12-py3-igpu container is not running on Cuda 13

AI & Data Science Deep Learning (Training & Inference) TensorRT
1

Description

When I run nvcc –version inside tensorrt:25.12-py3-igpu container I get nvcc version 12.9 and Tensorrt Version 10.11.0.33.
I also tested from 25.12 to 25.08. The Nvcc and Tensorrt Version stayslike mentioned above.

On x64 everything works like it should.

When i go below 25.08 the cuda and Tensorrt version changes.
Is there a problem i dont get?

Environment

TensorRT Version:10.14.1.48
GPU Type: Jetson Thor
Nvidia Driver Version: 13
CUDA Version: 13
CUDNN Version:
Operating System + Version: Arm
Python Version (if applicable):
TensorFlow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if container which image + tag):

Steps To Reproduce

docker run --rm --gpus all nvcr.io/nvidia/tensorrt:25.12-py3
bash -c “nvcc --version”

4

Hi @user73856, I see that the 25.12 release is supposed to include CUDA 13, but generally Jetson and Edge systems follow older, stable versions of CUDA (often tied to the JetPack version).

Meanwhile, can you try the latest release: nvcr.io/nvidia/tensorrt:26.01-py3-igpu?

I’ll check with internal teams about the specific CUDA version in the -igpu containers.

Thank You,
Atharva