On-premise RAG without GPU, cloud, or Docker: five lessons that cost me a week each
Article summary
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Every RAG tutorial I've read makes the same two assumptions: you have a GPU, and you can call a cloud API. For the environments I build for, both assumptions are wrong. I work on health information systems in the public sector. The stack has to run inside institutional infrastructure — no data leaves the network — and the hardware I get is whatever the procurement cycle produced two years ago. In practice that means Windows Server, CPU only, and open-weight models running locally. So I built a…
1Key Takeaways
- Every RAG tutorial I've read makes the same two assumptions: you have a GPU, and you can call a cloud API.
- For the environments I build for, both assumptions are wrong.
- I work on health information systems in the public sector.
- The stack has to run inside institutional infrastructure — no data leaves the network — and the hardware I get is whatever the procurement cycle produced two years ago.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that every RAG tutorial I've read makes the same two assumptions: you have a GPU, and you can call a cloud API.
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