Infrastructure
Compute, storage, backup capacity, networking, power and replacement planning.
Local AI can reduce some variable service costs, but it also creates hardware, integration and operating responsibilities that must be budgeted.
The total cost combines initial deployment and recurring operations. Initial items include hardware, installation, data preparation, integration and training. Recurring items include licences, electricity, support, monitoring, backups, updates and evaluation. A useful comparison uses the same period, service level and risk assumptions for every option.
Compute, storage, backup capacity, networking, power and replacement planning.
Installation, security configuration, connectors, corpus preparation and acceptance tests.
Monitoring, incident response, updates, restoration tests and support.
Reference questions, source checks, quality reviews and regression testing.
Over the chosen period, add initial investment, recurring fixed cost, usage-dependent cost and internal operating time. Then add the expected cost of errors and interruptions according to the process risk.
Compare this total with the current process and with cloud alternatives. Include exit, data export and migration effort so that a low first-year price does not hide long-term dependency.
No. The result depends on workload, hardware, integration and operating capacity. Local deployment can be attractive for controlled, repeated workloads, but the full cost must be measured.
Yes. Data preparation, administration, evaluation and user support are real costs even when they do not appear on a supplier invoice.
Choose one use case, a controlled document set and a result that your team can verify.
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