Infrastructure & Deployment
On-Premises AI
Running AI models on hardware you own and control, within your own environment.
Definition
On-premises AI means deploying AI models on hardware physically located within your organisation's infrastructure — your data centre, your server room. This gives maximum control over data security and sovereignty, is often required in highly regulated industries, and eliminates dependency on external providers. However, it requires significant upfront investment in hardware, ongoing IT expertise, and responsibility for model management and updates.
Why this matters for your business
For sectors with strict data residency requirements — defence, certain financial services, NHS clinical data — on-premises deployment may be the only compliant option for AI using sensitive data.
Related Terms
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Disclaimer
This definition is provided for educational and informational purposes only. It represents a general explanation of a technical concept and does not constitute professional, technical, or investment advice. Artificial intelligence is a rapidly evolving field; terminology, techniques, and capabilities change frequently. Coaley Peak Ltd makes no warranty as to the accuracy, completeness, or currency of the information provided. Nothing on this page should be relied upon as the sole basis for commercial, technical, legal, or investment decisions without independent professional advice.
Document reference: ISO_webpage_knowledge-base_glossary_v1
Last modified: 29 March 2026
Knowledge Base·Infrastructure & Deployment·On-Premises AI