27 lines
1.1 KiB
YAML
27 lines
1.1 KiB
YAML
---
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# Settings specific to workers with an attached NVIDIA GPU.
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# This group is a child of `workers` — it inherits workers.yml and only
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# overrides/adds what differs for a GPU node.
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# GPU nodes are not Longhorn storage nodes — override the workers.yml default
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# (which assumes /dev/sdb + /dev/sdc are present) so setup_longhorn.yml does
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# not try to format disks that don't exist in that layout.
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longhorn_disks: []
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# Applied to the node object in Kubernetes by roles/gpu_device_plugin after
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# kubeadm join, so ollama/other GPU workloads can target it via nodeSelector.
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node_labels:
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gpu: nvidia
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# nvidia-container-toolkit package version (empty = latest)
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nvidia_container_toolkit_version: ""
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# Dedicated local RAID1 storage for Ollama model files (see roles/gpu_model_storage).
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# Carved out of otherwise-unpartitioned space on the same mirrored disks used
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# for the OS (sda/sdb have ~3.6TB free beyond the ~30GB OS RAID1 partition) —
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# model data must NOT go on the root filesystem, it's far too small.
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gpu_model_storage_devices:
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- /dev/sda
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- /dev/sdb
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gpu_model_storage_partition_size_gb: 1000
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