Podman Desktop 1.12 Release
Podman Desktop 1.12 Release! π
Podman Desktop 1.12 is now available. Click here to download it!
This release includes:
- Podman remote: We now support remote Podman setups! Manage your remote Podman machines all within the UI.
- macOS GPU support: Container GPU access on macOS is now available.
libkrun
is now a selectable provider type to allow GPU passthrough enablement. - Windows GPU support: Want to try out Windows GPU support too? Podman already supports it, but we are now showcasing it in our AI Lab extension
- Podman 5.2.0: This new version of Podman provides GPU access for macOS, as well as a host of new features.
- Light mode out of experimental: Our light mode has been well-received, and we have now marked it as non-experimental! Enjoy the new theme.
- Kubernetes features: ConfigMaps, Secrets and multi-file Kubernetes YAML applying have now been added to our Kubernetes dashboard.
- Improved font consistency: You'll notice a big difference in consistency this release, as we updated all font sizes throughout Podman Desktop.
Release Detailsβ
Podman remoteβ
We now support remote Podman sessions! Use Podman Desktop to interact with remote instances over SSH. This allows both container and image management.
You can enable this in the Preferences section of Podman Desktop:
To set up access to a remote machine, follow the official Podman remote-client tutorial.
macOS GPU supportβ
GPU support is now available for macOS users!
This seamless setup can be enabled during Podman Machine creation by selecting the provider type:
After enablement, you can test that the GPU has been supported by running a custom container with --device /dev/dri
passed through:
$ podman run --rm -it --device /dev/dri --name gpu-info quay.io/slopezpa/fedora-vgpu vulkaninfo | grep "GPU"
Which will output information regarding your GPU:
GPU id = 0 (Virtio-GPU Venus (Apple M1 Pro))
GPU id = 1 (llvmpipe (LLVM 17.0.6, 128 bits))
GPU0:
deviceType = PHYSICAL_DEVICE_TYPE_INTEGRATED_GPU
deviceName = Virtio-GPU Venus (Apple M1 Pro)
GPU1:
Stay tuned as we continue to improve and write documentation on GPU support.
The most practical way to try these new features out is by installing AI Lab (>1.2.3) and seeing the improved speed.
This can be done by following the below steps:
- Update to the latest Podman AI Lab extension (v1.2.3) from the Extensions Catalog on Podman Desktop.
- Create a new Podman Machine with
libkrun
enabled (see above instructions). - Enable GPU support within Podman AI Lab extension:
- Start an inference server / playground environment and enjoy the benefits of accelerated GPU support!
Windows GPU supportβ
Windows GPU support has been integrated into Podman for a while, however our associated extensions have now been utilizing this great feature! Such as in AI Lab.
To showcase this awesome feature, this can be done by following the below steps:
- Update to the latest Podman AI Lab extension from the Extensions Catalog on Podman Desktop.
- Create a Podman Machine with WSL enabled.
- Enable GPU support within the Podman AI Lab Extension:
- Start an inference server / playground environment and enjoy the benefits of accelerated GPU support!