Stop overspending on capacity

See true utilization and consolidate workloads to cut waste without risking performance.

Protect user experience

Know when slowdowns will occur before users complain. Stay within safe operating limits.

Justify every capacity investment

Replace gut feelings with hard data. Back every capacity commitment with real utilization metrics.

Know before you reserve

Compare reserved vs. on-demand costs, factoring in discounts and idle time.

Provisioned Capacity Optimizer Capabilities

Capacity Management

See exactly which agents are consuming your provisioned capacity and which are sitting idle. Monitor traffic across all reserved capacity in one view, with utilization and idle time broken down by reservation, deployment, and use case. Spot hidden idle fees that are impossible to find with hyperscaler tools.

Capacity Economics

Learn the amortized cost of your capacity across each agent running inside it. Track agents that partially run on provisioned capacity and partially on-demand, so you understand true unit economics across both tokens and GPU minutes in the same use case. See how the value of your provisioned capacity changes over time as model pricing shifts around it.

Performance Comparison

Compare PTU costs against token-based pricing, accounting for your enterprise discounts and idle time. Measure latency and failure rates of provisioned capacity against on-demand. Know whether reserved capacity is actually worth it for each workload.

Capacity Planning

Test and model capacity scenarios before you commit. Overlay new workloads onto existing infrastructure, define your acceptable error budget, and get a clear assessment. Establish real performance baselines through controlled stress testing and find your actual capacity limits before production workloads arrive.

integrations

The Control Center For Provisioned Capacity

Data-Driven Scaling