Container Deployment
RLC Pro AI is distributed as an OCI container image through the CIQ Depot registry, alongside the ISO and cloud image formats. The container image carries the same validated AI userspace as the full operating system: the CIQ-built PyTorch and TorchVision packages, the CUDA runtime libraries, and the RLC Pro AI package set, all signed and tracked by RPM.
Containers are a natural fit when you want the validated stack inside an existing orchestration platform, on a workstation, or as the base image for your own application images.
Guides
- Podman - Pull and run the image with the native container runtime on RLC Pro AI.
- Docker - Pull and run the image on Docker hosts.
- Apptainer - Pull the image as a SIF file for HPC and multi-user environments.
The image
| Property | Value |
|---|---|
| Registry | depot.ciq.com |
| Image | rlc-ai-9/rlc-9-ai-oci-images/rlc-pro-ai |
| Tag | 9 |
| Size | approximately 6.8 GB |
The image path follows the Depot product/repository layout: product rlc-ai-9, OCI repository rlc-9-ai-oci-images. Authentication uses your CIQ Portal credentials, the same ones used for Depot enrollment.
For general information about CIQ's container registry, see Working with Container Images in the CIQ Depot documentation.