Do not deploy a model without a framework
The topic is not only model choice. Documents, users, prompts, logs, expected performance and production maintenance must be framed.
Inferenza locale su GPU AMD/NVIDIA
Inferenza locale su GPU AMD/NVIDIA: assistenti IA in perimetro controllato
Unix Consulting aiuta a inquadrare architettura, dati, performance, GPU, permessi e limiti degli assistenti IA interni per Italia, Svizzera italiana ed Europa.
Technical points
- Architecture choice: workstation, server, AMD/NVIDIA GPU, private cloud, cloudless LLM or isolated environment.
- Document management, RAG, segmentation, permissions, logs and traceability.
- Monitoring, backups, updates, tests and usage rules.
Goal
- Create a useful assistant without exposing sensitive information.
- Keep an architecture maintainable by IT.
- Retain evidence and understandable rules for audit contexts.
Does local inference on AMD/NVIDIA GPUs prevent all data leakage?
No. It reduces some external exposure risks, but permissions, documents, logs and usage still need governance.
Are GPUs mandatory?
It depends on models, volume, expected latency and number of users. Scoping avoids unnecessary oversizing.
Can local GPU inference connect to internal documents?
Yes, with document governance, access rights and suitable traceability.