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The solver.py refactoring renamed most solver classes from *Solver to *Model (e.g. DistributedSolver → DistributedModel). The docs still referenced the old names, causing the Quarto site build to fail with: ImportError: cannot import name 'DistributedSolver' from 'mlsysim' - Fix executable code cells in tutorials/distributed.qmd - Update non-executable code examples across 10 doc files - Rename 19 API reference files from *Solver.qmd to *Model.qmd - SensitivitySolver and SynthesisSolver retain their names (correct) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
34 lines
1.1 KiB
Plaintext
34 lines
1.1 KiB
Plaintext
# core.solver.SustainabilityModel { #mlsysim.core.solver.SustainabilityModel }
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```python
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core.solver.SustainabilityModel()
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```
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Calculates Datacenter-scale Sustainability metrics.
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Handles Power Usage Effectiveness (PUE), Carbon Intensity,
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and Water Usage Effectiveness (WUE) across different regional grids.
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This solver models the 'Infrastructure Tax' — the energy spent on
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cooling and power delivery rather than on neural computation.
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Literature Source:
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1. Patterson et al. (2021), "Carbon Emissions and Large Neural Network
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Training."
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2. Belkhir & Elmeligi (2018), "Assessing ICT Global Emissions Footprint."
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3. Wu et al. (2022), "Sustainable AI: Environmental Implications,
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Challenges and Opportunities."
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## Methods
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| Name | Description |
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| --- | --- |
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| [solve](#mlsysim.core.solver.SustainabilityModel.solve) | Calculates energy, carbon, and water footprint for a fleet operation. |
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### solve { #mlsysim.core.solver.SustainabilityModel.solve }
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```python
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core.solver.SustainabilityModel.solve(fleet, duration_days, datacenter=None)
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```
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Calculates energy, carbon, and water footprint for a fleet operation.
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