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How It Works
Compute Engine lets you provision virtual machines (VMs) on demand, selecting the machine type, operating system, region, and storage configuration that fits your workload. You pay for the compute capacity your VMs consume, billed per second with a one-minute minimum. Google applies Sustained Use Discounts (SUDs) automatically when a VM runs for a significant portion of the billing month, reducing the effective hourly rate without any action required. For larger or more predictable workloads, GCP also offers Committed Use Discounts (CUDs), where you commit to a specific level of compute resources for one or three years in exchange for a reduced rate. AWS offers a comparable service through EC2, and Azure provides equivalent functionality through its Virtual Machines service. Also see GCP Committed Use Discount vs Sustained Use Discount.
Why It Matters for Cloud Cost
Compute Engine is often the largest line item in a GCP bill. VMs that run continuously at on-demand rates accumulate significant cost, particularly in production environments with stable, predictable workloads. Without a commitment strategy, organizations pay full on-demand prices even for resources they know they will use month after month. Sustained Use Discounts help at the margins, but they do not deliver the deeper savings that Committed Use Discounts provide. GCP Committed Use Discounts can reduce Compute Engine costs by up to 57% versus on-demand rates. Teams that fail to analyze their Compute Engine usage patterns before committing risk locking into the wrong machine types or regions, which can erode the savings benefit.
CoPilot surfaces projected savings across your Compute Engine footprint so your team can review commitment recommendations before any purchase is executed.