What Is On-Premise LLM?
An on-premise LLM means running a large language model on an organisation's own servers or infrastructure it controls, rather than with a cloud provider. Data is processed without leaving the organisation.
How does it work?
The organisation typically installs and operates an open-weight model (Open-Weight Model) on its own hardware or private cloud. User requests are processed on this infrastructure and are not sent to an external provider's API.
Where is it used?
- Cases where data must not leave the organisation
- Organisations with strict regulatory or contractual requirements
- Projects that need full control of data location
Points to watch
- Hardware, setup and operating cost fall on the organisation.
- Model quality may differ from the most advanced cloud models; the decision should be made by testing on the organisation's own data.
- Security updates and monitoring are the organisation's responsibility.
What does Huaris AI do about it?
Huaris AI compares on-premise and cloud options with the Product Development, Security and Compliance service; see the Security and Compliance page for deployment options.
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