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cs249r_book/mlsysim/docs/api/solvers.EconomicsModel.qmd
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# solvers.EconomicsModel { #mlsysim.solvers.EconomicsModel }
```python
solvers.EconomicsModel()
```
Calculates Total Cost of Ownership (TCO) including Capex and Opex.
Combines hardware costs, energy consumption, and maintenance
into a single financial model for the fleet.
Literature Source:
1. Barroso et al. (2018), "The Datacenter as a Computer: An Introduction
to the Design of Warehouse-Scale Machines."
2. Patterson (2004), "Latent Bugs in Common-Case Software." (TCO Foundations)
3. Meta (2024), "Sustainable AI Infrastructure at Meta Scale."
## Methods
| Name | Description |
| --- | --- |
| [solve](#mlsysim.solvers.EconomicsModel.solve) | Calculates the TCO for a fleet over a specified duration. |
### solve { #mlsysim.solvers.EconomicsModel.solve }
```python
solvers.EconomicsModel.solve(
fleet,
duration_days,
kwh_price=None,
datacenter=None,
grid=None,
mfu=1.0,
amortization_years=3.0,
infrastructure_multiplier=cal.DEFAULT_INFRASTRUCTURE_MULTIPLIER,
)
```
Calculates the TCO for a fleet over a specified duration.
#### Parameters {.doc-section .doc-section-parameters}
| Name | Type | Description | Default |
|---------------|-------------|------------------------------------------------------------------|------------|
| fleet | Fleet | The hardware cluster configuration. | _required_ |
| duration_days | float | Operation duration in days. | _required_ |
| kwh_price | float | Price of electricity per kWh. | `None` |
| datacenter | Datacenter | A specific datacenter profile. | `None` |
| grid | GridProfile | A specific grid profile. | `None` |
| mfu | float | Model FLOPs Utilization (0.0 to 1.0) impacting energy footprint. | `1.0` |
#### Returns {.doc-section .doc-section-returns}
| Name | Type | Description |
|--------|------------------|---------------------------------------------------------|
| | Dict\[str, Any\] | Financial metrics including CapEx, OpEx, and total TCO. |