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GPU driver management features are now available in CKS Node Pools, allowing you to specify and target specific GPU driver versions for your workloads. This feature provides better control over driver compatibility and enables homogeneous driver environments across your clusters.

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Overview

Preview featureGPU driver management is currently a preview feature with the following limitations:
  • No Cloud Console UI: Configuration must be done through Kubernetes manifests or SLURM configuration
  • Limited to major versions: Only major driver version selection is currently supported
  • Manual upgrade process: Driver version updates require manual configuration changes
GPU driver management features are now available across CoreWeave’s compute platforms, providing enhanced control over driver versions and improved workload compatibility. These features allow you to:
  • Target specific driver versions in both CKS Node Pools and SUNK SLURM workloads
  • Ensure homogeneous driver environments across your compute resources
  • Maintain compatibility with specific CUDA versions and application requirements
  • Plan driver upgrades with better visibility and control

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Supported driver versions

CoreWeave supports all tested release driver (TRD) versions from NVIDIA. See Supported driver versions for more information.

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Key benefits

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Usage

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CKS

  • Node Pool level configuration: Configure Node Pools to use a specific driver version using the gpu.version field in the Node Pool manifest
  • Pod scheduling: Schedule Pods onto Nodes specified driver versions using Node selectors and affinity rules
  • Kubernetes-native integration: Use Node selectors and affinity rules to schedule Pods onto Nodes with specific driver versions
  • Helm chart support: Use the CoreWeave Helm chart to deploy and manage GPU driver versions in your CKS clusters
See Update GPU driver version in CKS Node Pools for more detailed information.

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Additional resources

Last modified on April 20, 2026