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Limina is distributed via a single container image. No further downloads are required, as everything is packaged into the image, including the ML models. Updates are released on a monthly cadence via new container images.

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Image Types

There are 6 different flavours of the Limina container:
  • cpu, which contains all features except for GPU support.
  • cpu-text, a cut down CPU image that contains only text functionality.
  • gpu, which contains all features except for synthetic entity functionality.
  • gpu-text, a GPU-accelerated version of cpu-text.
  • gpu-synthetic, a GPU-accelerated version that includes synthetic entity functionality.
  • gpu-synthetic-enhanced (new in 4.5), a GPU-accelerated version that includes the enhanced synthetic entity generation system in addition to the existing synthetic entity functionality.
It is recommended to use the text-only containers where possible, as they require less RAM and start quicker due to the smaller image size. The supported feature matrix is below:
Enhanced synthetic entity generation is a Beta feature and is only available in the gpu-synthetic-enhanced image. The other images, including gpu-synthetic, keep the existing synthetic entity generation behaviour. See Enhanced synthetic entity generation for the supported entity types and accuracy modes, and Enhanced Synthetic Container for its hardware and deployment requirements.

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Versioning Scheme

Images are tagged with the release version followed by the image type. For example, the 4.0.3 release features the following images: 4.0.3-cpu, 4.0.3-cpu-text, 4.0.3-gpu, 4.0.3-gpu-text and 4.0.3-gpu-synthetic. The container repository also contains cpu, cpu-text, gpu, gpu-text and gpu-synthetic tags which point to the latest release version. The gpu-synthetic-enhanced image is published starting with the 4.5 release, so it is only available for 4.5 and later versions.

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Getting the Image

The container image is distributed via an Azure Container Registry. Your customer portal account will have a login command pre-filled with your credentials that will look like this:
Docker Command
Once you’ve logged in, the image can be pulled with this command:
Docker Command