Enterprise AI Infrastructure Economics · Swarm Systems
Run the Numbers.
Own the Decision.
Stop guessing whether your API bill should become infrastructure. Enter your workloads, map your growth, and put a program in place to leave the cloud.
Who it's for
Where the math usually breaks
Most infrastructure calculators get the comparison wrong in the same three ways.
Demand threshold
Private infrastructure can be rational even with flat API pricing — if steady-state demand is large enough. We show the threshold explicitly.
60-month horizon
The right comparison is cumulative economics over five years. Month 1 always looks expensive. Month 36 tells the real story.
Full stack modeling
A real Rubin-era cluster includes networking, storage, context memory, facilities, software, and ops — not just GPU racks.
Everything in one analysis
From demand threshold to board proposal — no spreadsheets required.
Threshold Analysis
Know exactly when your workload crosses the private-wins threshold — even with flat API pricing.
5-Year Economics
60-month spend curves, cumulative savings gaps, and full breakeven picture.
Full Infrastructure Model
Networking, storage, context memory, cooling, facilities, software, and ops — not just GPU racks.
Board-Ready Proposal
One-click export: executive summary, cost structure, strategic recommendation, and next steps.
Three paths. One clear recommendation.
The calculator compares all three deployment structures and tells you which makes sense at your scale.
API Consumption
- Pure variable cost — scales with usage
- Easy to start, hard to control at scale
- Compounding spend as agent adoption grows
- No infrastructure control
Self-Managed Private
- Lower unit economics at sustained scale
- Full model and infrastructure control
- Requires capital or lease commitment
- Full operational responsibility
Swarm Managed
- Best unit economics without self-managing
- Zero upfront capital — lease structure
- Predictable monthly infrastructure cost
- Swarm handles delivery, ops, and SLA
Swarm capacity online late 2027. Reserve now, deploy at scale. Scenarios are sized for the 2028–2032 horizon.
Evaluate your timing →Built on transparent assumptions — official pricing, published benchmarks, and editable inputs.