Self-Host Open LLMs with vLLM: A Throughput and Latency Playbook
1Key Takeaways
- Originally published on AI Tech Connect .
- When self-hosting on vLLM beats an API Every team that ships a language-model feature eventually faces the same fork in the road: keep paying a managed API by the token, or self-host an open-weight model on your own graphics processing units?
- There is no universal answer, but there is a clear decision rule.
- Self-hosting on vLLM wins when three things are true at once.
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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 originally published on AI Tech Connect .
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