Question-led AI calculator
Use the AI Server ROI Calculator to Compare Ownership Costs
Compare five-year cash cost, then apply the operational requirement that money alone cannot price: frontier quality, data control, offline work or the absence of a technical owner.
Next evaluation route
Calculate
- Owned-capacity TCO£0
- Hosted-service TCO£0
- Cash difference£0
- Owned equivalent per month£0
- Hosted seats at cash crossover0
This is not a model-quality, feature, security or compliance equivalence claim. It does not include tax relief or spare-compute income.
Calculation record
See what sits behind the result.
The controls are deliberately editable. Record the values used, the date and the source before relying on an output in a buying decision.
Method
- Owned TCO = purchase + finance + annual electricity, support and facility costs for the selected term − supported residual value.
- Hosted TCO = paid users × monthly seat cost × 12 × term + monthly API/cloud spend × 12 × term + hosted implementation.
- The route recommendation applies the selected operational priority after the cash comparison.
Worked reading
- The defaults compare a £27,500 reference system with £4,000 annual operation against 25 seats, £500 monthly API/cloud use and £5,000 implementation.
- Change the term to see whether a shorter decision horizon changes the cash result.
- Run downside cases for higher electricity, support and finance costs.
Do not infer
- A hosted service can include current frontier models and managed product features that a local system does not reproduce.
- An owned system needs accepted local models, a technical owner, updates, backup and a suitable location.
- A cash crossover does not assign a monetary value to confidentiality, offline operation, continuity or provider flexibility.
Use the route, not just the difference
Hosted AI normally remains the strongest starting point for a light-use team, a buyer that needs the latest provider models, or an organisation without a technical owner. Owned or hybrid capacity becomes more credible where sensitive data paths, offline operation, sustained shared workloads or version control have independent value.
The next step is a representative workload proof. Measure model quality, latency, concurrency, memory, energy and operating effort before a final specification or savings claim.
Decision check
AI Server ROI Calculator: Fit, Evidence & Next Steps
Use the AI server ROI calculator with current workload, cost and operating inputs, then test how the result changes when the important inputs move.
Relevant supporting considerations include AI server cost calculator, private AI ROI and AI server ownership cost. The AI server ROI calculator result is a planning aid; retain the inputs, evidence date, downside case and any checks still required before purchase.
Inspect the hardware and its operating boundary.
Hardware close-ups show form, layout and service access. Technical diagrams explain data, memory, power and handover. Your written specification and workload test describe the ordered system.
