Index
Hosting a model does not eliminate dependencies, and hiring an API does not solve the entire operation. The choice must consider task quality, data control and maintenance capacity.
How to evaluate this decision
Compare alternatives with the same sample and review flow. Include infrastructure, monitoring, updating and staff in the self-hosting scenario. In the external API, examine limits, data processing conditions and service changes according to the current documentation and contract. Don't confuse owning the infrastructure with owning the rights or fully controlling the behavior of the model.
Criteria for comparing proposals
- Quality: measuring performance on the actual task and the cost of correcting inappropriate responses.
- Operation: define who updates, monitors and recovers the service in each alternative.
- Portability: Evaluate how data, assessments, and integrations can migrate to another vendor.
A scenario to discuss with the supplier
Hypothetical example: a local model meets a simple classification, but requires maintenance that the team cannot handle. Technical autonomy only has value if there is the ability to operate the solution.
What to validate upon delivery
Run the same set of cases across the options considered and record limitations. Compare cost per completed task, including human review and failures, without just using per-request pricing.
Prepare the conversation about the project
Bring the task, data constraints and operational capacity to Quantum9. The recommendation must justify architecture and responsibility, with a proof when quality uncertainty is relevant.
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