The Five Layers of a Self-Hosted AI Stack
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Self-hosting AI gets pitched as either trivial (just run Ollama) or impossible (you need a data center). Both miss the same thing: a working stack is five layers, and the model is only one of them. Here is how the layers fit and why skipping one is what usually breaks a self-hosted setup. Inference: The Layer Everyone Starts With The inference layer runs the model itself. Tools like Ollama make this the easy part now, a single command on a mid-range GPU. Because it is easy, people stop here and…
1Key Takeaways
- Self-hosting AI gets pitched as either trivial (just run Ollama) or impossible (you need a data center).
- Both miss the same thing: a working stack is five layers, and the model is only one of them.
- Here is how the layers fit and why skipping one is what usually breaks a self-hosted setup.
- Inference: The Layer Everyone Starts With The inference layer runs the model itself.
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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 self-hosting AI gets pitched as either trivial (just run Ollama) or impossible (you need a data center).
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