Google Cloud just made its Committed Use Discounts (CUDs) smarter and easier to manage. With a new multiprice model and expanded service coverage, the updates aim to simplify billing and unlock broader savings across modern workloads. Here’s what’s changing, and what it means for your FinOps practice.
Google Cloud is moving spend-based Committed Use Discounts (CUDs) to a new multiprice model. Instead of showing up as credits, discounts now appear as direct, per-SKU discounted rates. Alongside this, CUD coverage is expanding to include 11 additional services - notably BigQuery, M-series (M1–M4) memory-optimized VMs, H3 compute-optimized VMs, and Cloud Run.
The shift is about clarity and flexibility. By applying discounts directly to resource pricing, Google makes it easier to understand and forecast savings. And by expanding coverage, they’re ensuring that more of your real-world workloads - especially popular services like BigQuery and the latest VM families - are now eligible for committed-use discounts.
For FinOps teams, this means:
This change gives practitioners more control and confidence. If your teams are running BigQuery, M-series or H3 VMs, or Cloud Run, your commitments now stretch further. Combined with transparent billing, it’s a clear win for maximizing savings and making cloud costs easier to explain to the business.
👉 With Finout, you don’t have to worry about these upcoming changes disrupting your FinOps routines. All adjustments happen seamlessly behind the scenes and the right data will be reflected in Finout without extra effort.