Ngc config set: Successfully saved & docker login nvcr.io: Login Succeeded

Hi,

Regarding Setup for pulling Nvidia images and spinning up containers, I can successfully run the “ngc config set: Successfully saved & docker login nvcr.io: Login Succeeded” Copy of CLI below.

PS C:\users\optim> ngc config set
Enter API key [****Iz0E]. Choices: [<VALID_APIKEY>, ‘no-apikey’]: 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
Enter CLI output format type [ascii]. Choices: [‘ascii’, ‘csv’, ‘json’]:
Enter org [0501156891508593]. Choices: [‘0501156891508593’]: 0501156891508593
Enter team [no-team]. Choices: [‘no-team’]:
Enter ace [no-ace]. Choices: [‘no-ace’]:
Validating configuration…
Successfully validated configuration.
Saving configuration…
Successfully saved NGC configuration to C:\Users\optim.ngc\config
PS C:\users\optim> docker login nvcr.io
Authenticating with existing credentials…
Login Succeeded
PS C:\users\optim>

And if I run “ngc registry image list” The following populates, an entire list pages long.

PS C:\users\optim> ngc registry image list
±---------------------±---------------------±---------------------±-----------±-------------±-----------±------------±------------±--------------------+
| Name | Repository | Latest Tag | Image Size | Updated Date | Permission | Signed Tag? | Access Type | Associated Products |
±---------------------±---------------------±---------------------±-----------±-------------±-----------±------------±------------±--------------------+
| TensorFlow | nvidia/tensorflow | 25.01-tf2-py3-igpu | 3.95 GB | Jan 27, 2025 | unlocked | True | | |
| rapidsai/rapidsai | nvidia/rapidsai/rapi | cuda11.4-runtime- | 8.08 GB | Jan 05, 2024 | unlocked | False | | |
| | dsai | ubuntu20.04-py3.10 | | | | | | |
| DLI NLP Course - | nvidia/dli/dli-nlp- | v3-nemo1.0.1 | 6.67 GB | Apr 04, 2023 | unlocked | False | | |
| Base Environment | nemo | | | | | | | |
| with NeMo | | | | | | | | |
| Merlin PyTorch | nvidia/merlin/merlin | latest | 6.84 GB | Apr 04, 2023 | unlocked | False | | |
| Training | -pytorch-training | | | | | | | |
| Helm Dashboard | nvidia/holoscan-for- | 0.3.0 | 329.96 MB | Dec 11, 2024 | unlocked | True | | |
| | media/helm-dashboard | | | | | | | |

However I am not able to pull an image.

Any direction on where to check the process, how to do this would be much appreciated.

Many thanks.

Kind regards,

Andrew