GCP Committed Use Discounts vs Sustained Use Discounts: The Complete Guide
GCP's Unique Discount Approach
Google Cloud uses a distinctive discount model that differs significantly from AWS and Azure. Understanding both discount types is key to minimising GCP costs.
Sustained Use Discounts (SUDs) — Automatic
GCP automatically applies SUDs when you run an instance for more than 25% of the month — no action required. The discount increases the longer the instance runs:
| Usage (% of month) | Discount Applied |
|---|---|
| 0-25% | 0% (full price) |
| 25-50% | ~10% discount |
| 50-75% | ~20% discount |
| 75-100% | ~30% discount |
For instances running 24/7, SUDs automatically apply a 20-30% discount. This is why GCP often appears cheaper than AWS at first glance — the base price includes potential SUD.
Committed Use Discounts (CUDs) — Manual Commitment
For deeper discounts, commit to consistent resource usage for 1 or 3 years:
| Resource | 1-Year CUD | 3-Year CUD |
|---|---|---|
| vCPU | 37% off | 55% off |
| RAM | 37% off | 55% off |
| GPU | 35% off | 53% off |
CUDs vs AWS/Azure Reservations
Key advantage of GCP CUDs: you commit to a resource amount (vCPUs and RAM), not a specific instance type. Your CUD applies to any VM that fits within your committed resource pool — giving more flexibility than AWS Standard RIs.
Combining CUDs and SUDs
You can stack CUDs on top of SUDs — commit to 50% of your baseline workload with CUDs, and any additional usage gets SUDs automatically applied. This hybrid approach is optimal for workloads with variable peaks.
Spot/Preemptible Instances
For interruptible workloads: GCP Spot VMs offer up to 91% discount. GKE Autopilot supports Spot pods for even deeper savings on containerised workloads.
For stable 24/7 workloads, CUDs are always better than relying on SUDs alone. Calculate your baseline and commit to it — your remaining dynamic workload gets SUDs automatically.
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