Is it cheaper to scale LLM inference infrastructure using dedicated GPU instances or serverless API providers for a mid size app?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Is it cheaper to scale LLM inference infrastructure using dedicated GPU instances or serverless API providers for a mid size app?
1 real search · 1 real-search pass
2026 GPU instance pricing NVIDIA H100 A100 hourly cloud providers serverless LLM inference pricing per million tokens comparisonGoogle ↗
OBSERVEDComparison
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model).
Searches and sources
ChatGPT1 real searches · gpt-6
2026 GPU instance pricing NVIDIA H100 A100 hourly cloud providers serverless LLM inference pricing per million tokens comparison Google ↗
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