When does a factory need on-prem vs cloud?

On-prem when data can't leave the company or volume is high and steady; cloud when starting out with irregular volume.

Which server/GPU for a local LLM?

Depends on the model, from a single card for an assistant up to multi-GPU for production RAG; compute it in the TCO calculator.

Cluster

On-prem.

2 notes

This cluster covers questions that are poorly covered in Polish content today: hardware requirements (GPU, VRAM) for a local LLM on a company server, real TCO of an on-prem model, on-premise vs cloud for a factory, and how to secure production data during an AI deployment. We also cover where Polish models (Bielik, PLLuM) fit in industrial use.

Notes in this cluster

On-Premise vs. Cloud AI for Manufacturing: What to Choose and When

When to keep your AI on-premise and when to use the cloud. An honest checklist: data sensitivity, volume, hidden costs (people, power), latency, NIS2, and the hybrid option.

July 9, 2026·4 min read·Fryderyk Pryjma

Local LLM on a Company Server: What Hardware You Need (GPU, VRAM)

How much hardware a local language model really needs in a factory. How model size maps to VRAM and GPU class, why real utilization matters more than peak, and when a single card is enough.

July 9, 2026·4 min read·Fryderyk Pryjma

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FAQ

When does a factory need on-prem vs cloud?: On-prem when data can't leave the company or volume is high and steady; cloud when starting out with irregular volume.
Which server/GPU for a local LLM?: Depends on the model, from a single card for an assistant up to multi-GPU for production RAG; compute it in the TCO calculator.