Advanced Label Selectors

Label selectors are available for precise placement of workloads

Selecting the right hardware for your workload is important. All compute nodes are tagged with a set of labels specifying the hardware type. Affinity Rules should be leveraged on workloads to ensure that the desired type of hardware (ie. GPU model) gets assigned to your job.
The basic node selectors demonstrated in Node Types are usually all that is needed to properly schedule workloads. Please contact support for any questions about advanced scheduling or special requirements.
Label
Possible Values
Description
cpu.coreweave.cloud/family
i9, i7, i5, celeron, xeon, epyc
The CPU family of the CPU in the node
ethernet.coreweave.cloud/speed
1G, 10G
The uplink speed from the node to the backbone
gpu.nvidia.com/count
4-8
Number of GPUs provisioned in the node. Using this selector is not recommended as the GPU resource requests are the correct method of selecting GPU count requirement
gpu.nvidia.com/model
GeForce_GTX_1070_Ti (see list)
GPU model provisioned in the node
gpu.nvidia.com/vram
6, 8, 11, 16
GPU VRAM in Gigabytes on the GPUs provisioned in the node
gpu.nvidia.com/nvlink
true, false
Denotes if GPUs are interconnected with NVLink. Currently applicable only for Tesla_V100
topology.kubernetes.io/region
ORD1, EWR1, EWR2, BUF1, ARN1
The region the node is placed in
Examples
8x Tesla V100 NVLINK
4x Tesla V100 NVLINK
16 Core Xeon CPU with 10GE 
8x Tesla V100 NVLINK
spec:
  containers:
  - name: example
    resources:
      limits:
        cpu: 30
        memory: 128Gi
        nvidia.com/gpu: 8
        
  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: gpu.nvidia.com/model
            operator: In
            values:
              - Tesla_V100
          - key: gpu.nvidia.com/nvlink
            operator: In
            values:
              - "true"
4x Tesla V100 NVLINK
spec:
  containers:
  - name: example
    resources:
      limits:
        cpu: 15
        memory: 64Gi
        nvidia.com/gpu: 4
        
  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: gpu.nvidia.com/model
            operator: In
            values:
              - Tesla_V100
          - key: gpu.nvidia.com/nvlink
            operator: In
            values:
              - "true"
16 Core Xeon CPU with 10GE 
spec:
  containers:
  - name: example
    resources:
      limits:
        cpu: 16
        memory: 48Gi
        
  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: cpu.coreweave.cloud/family
            operator: In
            values:
              - xeon
          - key: ethernet.coreweave.cloud/speed
            operator: In
            values:
              - 10G
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Label	Possible Values	Description
cpu.coreweave.cloud/family	i9, i7, i5, celeron, xeon, epyc	The CPU family of the CPU in the node
ethernet.coreweave.cloud/speed	1G, 10G	The uplink speed from the node to the backbone
gpu.nvidia.com/count	4-8	Number of GPUs provisioned in the node. Using this selector is not recommended as the GPU resource requests are the correct method of selecting GPU count requirement
gpu.nvidia.com/model	GeForce_GTX_1070_Ti (see list)	GPU model provisioned in the node
gpu.nvidia.com/vram	6, 8, 11, 16	GPU VRAM in Gigabytes on the GPUs provisioned in the node
gpu.nvidia.com/nvlink	true, false	Denotes if GPUs are interconnected with NVLink. Currently applicable only for Tesla_V100
topology.kubernetes.io/region	ORD1, EWR1, EWR2, BUF1, ARN1	The region the node is placed in

Advanced Label Selectors

Examples

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