Why it matters for an office
It is the simplest answer to “where does our data go?”: nowhere. That makes it easier for compliance teams to approve, and it removes per-token cloud bills.
ANVE: the private AI office, on the record. See what that means
ANVEPrivate AI glossary · updated 2026-10-06
On-premise AI.
Defined in plain words, for offices deciding how to use AI.
Short answer. On-premise AI means the AI models run on hardware physically inside the organisation’s premises, on its own network, rather than in a vendor’s data centre. Data does not have to leave the building for the model to work. The trade-off is that someone has to provide the hardware, user accounts, updates and support, which cloud services otherwise handle.
How ANVE uses it
ANVE packages on-premise AI as an appliance: the hardware plus the office layer (named users, roles, audit trail, makers, managed updates), so the office does not need an AI engineer.
Questions people ask
- Is on-premise AI expensive?
- Entry hardware is now affordable: mini PCs with a 50 TOPS NPU start around US$500 without memory. The larger cost is usually the software and support around it.
What is not real yet
No sealed ANVE unit exists; every image of the appliance on this site is a labelled render. The software runs today on a development machine. No customers yet, no certifications, no delivery date, and the final price is not announced.
Reservations are ₹999 in India or US$12 elsewhere, refundable in full until you confirm an order in writing (terms). Offices that cannot use cloud AI can apply to be one of ten design partners.