Advanced Label Selectors

Use advanced label selectors for precise workload scheduling

Selecting the right hardware for your workloads is key for performance. While the basic node labels as listed in the Node Types list are typically all that is needed to include in a Deployment manifest to schedule workloads properly, there are some situations in which more specific designations may be required, such as some instances of deploying custom containers.

On CoreWeave, compute nodes are tagged with Kubernetes labels, which specify their hardware type. In turn, Kubernetes affinities are specified in workload Deployment manifests to select these labels, ensuring that your workloads are correctly scheduled to the desired hardware type.

note

For any questions about advanced scheduling or other special requirements, please contact support.

The following labels are attached to nodes on CoreWeave Cloud, and may be selected using affinities in the Deployment manifests, as demonstrated in the following affinity usage examples.

CPU model

Label	Refers to	Value options
node.coreweave.cloud/cpu	The CPU family of the CPU on the node	See CPU-only instances for a list of types and their values

Affinity usage example

affinity:
  nodeAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      nodeSelectorTerms:
        - matchExpressions:
          - key: node.coreweave.cloud/cpu
            operator: In
            values:
              - amd-epyc-rome
              - intel-xeon-v4

GPU count

important

Using this selector is not recommended. Instead, request GPU resources by setting the GPU count in the Deployment spec; see the guide on deploying Custom Containers for examples.

Label	Refers to	Value options
gpu.nvidia.com/count	Number of GPUs provisioned in the node	4 to 8; must be included as a string

Affinity usage example

affinity:
  nodeAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      nodeSelectorTerms:
        - matchExpressions:
          - key: gpu.nvidia.com/count
            operator: In
            values:
              - "3"

GPU model

Label	Refers to	Value options
gpu.nvidia.com/class	The GPU model provisioned in the node	See Node Types for a list of types and their values

Affinity usage example

affinity:
  nodeAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      nodeSelectorTerms:
        - matchExpressions:
          - key: gpu.nvidia.com/class
            operator: In
            values:
              - A40

GPU VRAM

Label	Refers to	Value options
gpu.nvidia.com/vram	The GPU VRAM, in Gigabytes, on the GPUs provisioned in the node	See the VRAM column in the GPU-enabled Node Types list

Affinity usage example

affinity:
  nodeAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      nodeSelectorTerms:
        - matchExpressions:
          - key: gpu.nvidia.com/vram
            operator: In
            values:
              - "8"

Uplink speed

Label	Refers to	Value options
ethernet.coreweave.cloud/speed	Uplink speed from node to the backbone	10G, 40G, 100G

Affinity usage example

affinity:
  nodeAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      nodeSelectorTerms:
        - matchExpressions:
          - key: ethernet.coreweave.cloud/speed
            operator: In
            values:
              - 40G

NVLink

important

This label is currently applicable only for Tesla_V100 nodes.

Label	Refers to	Value options
gpu.nvidia.com/nvlink	Denotes whether or not GPUs are interconnected with NVLink	true, false

Affinity usage example

affinity:
  nodeAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      nodeSelectorTerms:
        - matchExpressions:
          - key: gpu.nvidia.com/nvlink
            operator: In
            values:
              - true

Data center region

Label	Refers to	Value options
topology.kubernetes.io/region	The region the node is placed in	ORD1, LAS1, LGA1

Affinity usage example

affinity:
  nodeAffinity:
    requiredDuringSchedulingIgnoredDuringExecution:
      nodeSelectorTerms:
        - matchExpressions:
          - key: topology.kubernetes.io/region
            operator: In
            values:
              - ORD1