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Can I Run Mixed Workloads With Different Compute Types in the Same Vultr Kubernetes Engine Cluster?

Updated on 18 December, 2025

Vultr Kubernetes Engine supports mixed workloads by allowing multiple node pools with different compute types in the same cluster.

Yes. Vultr Kubernetes Engine (VKE) supports running mixed workloads within the same cluster by creating multiple node pools. Each node pool can use a different Vultr Compute type, giving you flexibility to match infrastructure to workload requirements.

For example, you can:

  • Use Regular Cloud Compute instances for lightweight or general-purpose applications.
  • Deploy High Frequency Compute nodes for latency-sensitive or single-thread performance-critical services.
  • Mix in Optimized Cloud Compute instances for compute-intensive, multi-threaded, or throughput-heavy workloads.

Kubernetes scheduling ensures that pods land on the appropriate node pool by using labels, taints, and tolerations. This lets you optimize performance, cost, and resource utilization while running diverse workloads in a single cluster.