Cloud Infrastructure ModelFree Financial Model Download
Model cloud spend by service, reserved instance ROI, and per-user infrastructure costs with multi-cloud pricing and scaling assumptions tied to product adoption.
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About this model
This cloud infrastructure cost model forecasts a company's spending on compute, storage, and networking services and optimises reserved instance purchasing strategy. It projects total cloud spend by service type and region; calculates reserved instance ROI by comparing one-year, three-year, and savings plans against on-demand rates; and derives per-user and per-transaction unit economics. The model includes multi-cloud pricing comparison (AWS, Azure, GCP) with assumptions for discounting intensity and negotiation leverage, linking cloud cost to product adoption metrics so users can see the cost-per-unit scalability of the business.
The model builds cloud spend drivers from first principles: compute hour forecasts by instance type (VM family, vCPU count), storage capacity by tier (standard, performance, archive), and data transfer by region. It applies blended rates by service class and generates scenarios showing on-demand vs. reserved vs. spot pricing economics. The output includes a cost waterfall showing the impact of reserved instance purchasing, a per-unit cost trend, and a capex vs. opex trade-off analysis for on-premises alternatives.
This model is used by CFOs and cloud architects performing cost optimisation reviews, finance teams building annual cloud budgets, and startups understanding cost-of-goods-sold per customer as they scale. It surfaces cost drivers that otherwise hide in hundreds of service line items, enabling finance and engineering to collaborate on cost-conscious architecture decisions.



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Formatted to IB standards.
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- Brand-ready
- Institutional grade
- Fully auditable
What's included
- Compute, storage, and networking cost drivers by service
- Reserved instance purchasing and discount strategy
- Per-user and per-transaction unit economics
- Multi-region and multi-cloud pricing comparison
- Scaling assumptions linked to product adoption
Built for cloud cost optimisation
Use this model when EC2/S3/networking line items obscure where the cost actually goes and reserved-instance ROI is on the table.
Service-level granularity
A useful cloud cost model breaks out EC2, RDS, S3, and data transfer separately so each cost bucket can be optimised independently.
Per-unit economics aware
This tracks infrastructure cost per active user, per API call, or per GB processed so product margins are clear.
Frequently asked
What is a cloud infrastructure cost model?+
It is a model that forecasts compute, storage, and networking spend and evaluates reserved-instance, spot, and multi-cloud strategies.
Can I compare AWS vs. Azure vs. GCP pricing?+
Yes. Set up pricing sheets for each provider and the model highlights the lowest-cost path for each workload.
How often do I need to update provider pricing?+
Quarterly at minimum. A pricing update tab pushes changes through the model instantly.
Does it handle spot instances?+
Yes. Model spot discount rates and availability and compare blended cost to on-demand and reserved instances.
Is this useful for product margin work?+
Yes. Allocate cloud cost to customer segments and ensure pricing covers variable infrastructure.
Alex Tapio
Founder of Finamodel • Professional Financial Modeller • Ex-Deloitte
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