Lesson 1854 of 2116
AI and self-hosted LLM deployment tools
If you must self-host, pick a serving stack by throughput, model fit, and ops effort — not by GitHub stars.
Lesson map
What this lesson covers
Learning path
The main moves in order
- 1The premise
- 2self-hosted
- 3vLLM
- 4TGI
Concept cluster
Terms to connect while reading
Section 1
The premise
Self-hosting LLMs trades cost-per-token for ops complexity. The serving framework is a major lever on both.
What AI does well here
- Compare serving stacks on: throughput, model coverage, batching.
- Map to your traffic shape.
- Identify GPU memory ceilings.
What AI cannot do
- Replace a load test.
- Predict price/perf after a hardware swap.
- Substitute for an SRE on call.
Key terms in this lesson
End-of-lesson quiz
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