Model and hardware
Measure model loading, throughput, latency and memory use on the target device. Use these results for acceptance.
Hotel distribution and private AI
Private AI Deployment Evaluation
Evaluate models, hardware, data governance and workflows for on-premises AI in hotel distribution. Validate configuration and delivery in the target environment.
What to validate before purchase
Business data and workflows
Choose an approved distribution question and review retrieval, data permissions and source attribution.
Security and governance
Review data flows, access boundaries, audit records and retention against your own compliance requirements.
Common questions
Which models and hardware are supported?
Compatibility depends on the selected model, inference runtime and target device. Request a timed test on the hardware you intend to use.
Does on-premises deployment satisfy our compliance requirements?
Data residency alone does not establish compliance. Review network paths, access controls, logs, retention and your applicable requirements during a technical assessment.
How long does deployment take?
Timing depends on hardware procurement, model validation, data integration and security review. Agree an acceptance plan and milestones in writing.
Discuss your target environment
Share your target model, hardware, data sources and acceptance requirements for a reviewable technical proposal.
Contact the technical team