AppStream fleets often default to instance types designed for worst-case or peak usage scenarios, even when average workloads are significantly lighter. This leads to consistently low utilization of CPU, memory, or GPU resources and inflated infrastructure costs. By right-sizing AppStream instances based on actual workload needs, organizations can reduce spend without compromising user experience.
AppStream 2.0 streaming instances are billed per hour based on the selected instance type, with higher-cost options providing more CPU, memory, and GPU resources. If instance types are overprovisioned relative to actual usage, customers pay for unused capacity, driving unnecessary spend.
