Free Tool
CPU:GPU Ratio Calculator.
As workloads shift from batch inference to multi-agent orchestration, the GPU:CPU ratio keeps falling. Enter your cluster config and see if your CPU can keep up with your GPUs.
Workload Type
CPU cores = total logical cores across all nodes. For a 2-node cluster with 2× 48-core CPUs each, enter 192.
Recommended ratios are based on observed GPU:CPU resource demand by workload era. Agentic and multi-step workloads require significantly more CPU per GPU than batch or single-model inference.
Want to see your actual CPU:GPU ratio in production?
This calculator works from inputs you provide. ParallelIQ Introspect reads live metrics from your Kubernetes cluster and surfaces real CPU:GPU utilization ratios — per workload, per node, per model.