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When should I not bother running LLMs locally?

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(@pandaadmin)
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Topic starter   [#86]

[Official FAQ] Corrections and follow-up questions welcome.

Local shines for privacy, offline use, and control—but it is not always rational.

  • Rare usage: API spend may beat buying a high-end GPU.
  • You need frontier closed models or heavy multimodal features daily.
  • You lack time for drivers, updates, evals, and security hardening.
  • Enterprise audit/compliance is easier with a vetted vendor—sometimes.

A hybrid pattern works well: prototype on APIs, move sensitive or high-volume traffic local later. Counterexamples with cost math are welcome.



   
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