Why it matters for an office
A local LLM solves privacy for one person. An office also needs user accounts, permissions, an audit trail and someone to maintain it, which is the gap between a local LLM and a product.
ANVE: the private AI office, on the record. See what that means
ANVEPrivate AI glossary · updated 2026-10-06
Local LLM.
Defined in plain words, for offices deciding how to use AI.
Short answer. A local LLM is a large language model whose weights are downloaded and run on your own hardware, a laptop, mini PC, workstation or server, instead of being called through a cloud API. Tools such as Ollama and LM Studio make this a one-command job for a single technical user. Quality depends on the model’s size and the memory available: small 3B to 8B models run on modest hardware, while 27B to 70B models need a large GPU or lots of unified memory.
How ANVE uses it
ANVE runs local models (27B-class by default, with a fast 4B-class model alongside) and adds the office layer around them.
Questions people ask
- What is the best way to run an LLM locally?
- For one person, Ollama or LM Studio on a machine with enough memory. For an office of many people, you also need accounts, roles and audit; see our comparison with a mini PC running Ollama.
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.