Feat/forecast inference dataset creation from superjuice#18
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khintz merged 32 commits intodmidk:mainfrom Jan 27, 2026
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- expose container build program with env var so we can use docker on DGX Spark - use nvidia docker registry for ARM nvidia image on ARM platforms - install with pip directly into system python site-packages (with overwrite) while setting torch version constraint (otherwise dependencies install overwrites the pytorch install) - optionally use pip directly inside container (rather than via uv) to ensure we use system python without venv
Use pytorch base image with CUDA>=12.8 (we'll need the same for DGX Spark), update README with instructions to handle missing podman configuration for CUDA devices pass-through and default to not using `uv` in container.
…feat/forecast-inference-dataset-creation-from-superjuice
khintz
reviewed
Jan 27, 2026
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| ## Building image and running inference | ||
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| Currently building the image and running inference is only supported on the "superjuice" machine (`27sj894.dmi.dk`). |
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Would you not expect it work on one of the sparks?
khintz
reviewed
Jan 27, 2026
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| In a rootless Podman setup without system-level NVIDIA integration: | ||
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| - --gpus all is a no-op |
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no-op ?
Does this meaning it really does nothing ?
Contributor
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I think this looks good. Still a lot of work needed, but let's iterate on that as we proceed. |
khintz
approved these changes
Jan 27, 2026
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Add files I forgot to commit on superjuice