AI locale,
senza teatro.
Ricerca pratica per decidere cosa eseguire in locale, come valutarlo e dove porre il confine operativo.
Parti dalla decisione da prendere.
Ogni articolo dichiara ambito, fonti e data di aggiornamento.
What does it mean to own your AI?
A practical definition of AI ownership across hardware, data, models, operations and exit rights.
Local AI vs cloud AI for German businesses
A workload-by-workload comparison of local and hosted AI for German SMEs and professional offices.
Local LLM hardware requirements: RAM, models and quantisation
A sober sizing guide for running 8B, 14B, 32B and 70B-class models on local hardware.
Private AI for law firms and tax advisers
Where local AI can help professional offices, where human review remains mandatory, and how to set a defensible boundary.
Using local AI with confidential business documents
A controlled document workflow from approved folder to local index, answer, review, backup and deletion.
Open-weight models for German and European documents
How to select and test multilingual open-weight models for German, European and document-heavy work.
Dalla ricerca a una policy utilizzabile.
Guide per ruolo e test riproducibili producono criteri concreti.
Hai un workload reale?
Descrivi documenti, utenti e aspettative; definiremo appliance Core o Pro e classe di modello.