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How It Works
Hyperscalers operate massive networks of data centers distributed across regions and availability zones worldwide. Customers access these resources on a pay-as-you-go basis, meaning they consume what they need without owning physical hardware. Each hyperscaler offers its own pricing model, discount programs, and service catalog. AWS offers Reserved Instances and Savings Plans, Azure offers Reservations and Savings Plans, and GCP offers Committed Use Discounts. All three follow the same fundamental pattern: on-demand pricing is the baseline rate, and committing to usage in advance unlocks significant discounts.
Why It Matters for Cloud Cost
The hyperscaler you run on determines which discount mechanisms are available to you and how your cost optimization strategy is structured. AWS, Azure, and GCP each price their services differently, offer different discount tiers, and require different commitment structures. Companies that run workloads across more than one hyperscaler face the added complexity of managing separate billing systems, separate discount programs, and separate forecasting models. Without a clear understanding of each hyperscaler’s pricing logic, teams routinely overpay on on-demand rates for workloads that qualify for committed discounts.
Usage AI optimizes spend across all three hyperscalers, managing AWS Reserved Instances and Savings Plans, Azure Reservations and Savings Plans, and GCP Committed Use Discounts through a single platform, with Autopilot mode handling purchases automatically and CoPilot surfacing recommendations for review.