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Add large RAM GPU runner for vllm
#1596
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h-vetinari
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conda-forge:main
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shermansiu:feat/add_runner_for_vllm
Jul 29, 2025
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,11 @@ | ||
| action: cirun | ||
| feedstocks: | ||
| - vllm | ||
| resources: | ||
| - cirun-openstack-gpu-2xlarge | ||
| # switch to true if you need it on pull-requests too | ||
| pull_request: true | ||
| # revoke access to the gpu runner | ||
| revoke: false | ||
| # Send an automatic PR to the feedstock to enable cirun defaults | ||
| send_pr: true | ||
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I'm fine to start off like this, but if vllm can be compiled with CPU-agents (compiling CUDA doesn't need a GPU), then we should do that.
There'll be one more PR to https://github.com/conda-forge/.cirun, which is also where we can then add further resource policies in the future
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conda-forge/.cirun#109
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Thanks for creating the
cirunPR! Do we need any additional PRs to use the larger CPU runners likeci_2xlarge?There was a problem hiding this comment.
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☝️
Check out the pull request I linked. It creates a policy for vllm and adds it to a list of policies that are enabled for
cirun-openstack-gpu-2xlargerunners. To be able to use other (e.g. smaller and/or CPU-only) runners, you need to add the vllm policy to the respective list.There was a problem hiding this comment.
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Ah, so as I understand it, subsequent PRs will be made directly to https://github.com/conda-forge/.cirun and not https://github.com/conda-forge/admin-requests? Because now, the CI policy has been created?
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Yes. Please don't make me repeat myself N times