Lokale Inferenz auf AMD/NVIDIA-GPU

Lokale Inferenz auf AMD/NVIDIA-GPU: KI-Assistenten im kontrollierten Perimeter

Unix Consulting hilft bei Architektur, Daten, Performance, GPU, Berechtigungen und Grenzen interner KI-Assistenten für Deutschland, Österreich, die Schweiz und Europa.

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.

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.

Verwandte Seiten

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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.