What are the hidden infrastructure costs when moving from standard OpenAI API calls to fine tuned open source models?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the hidden infrastructure costs when moving from standard OpenAI API calls to fine tuned open source models?
2 real searches · 1 real-search pass
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 (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
production self-hosted open source LLM inference hidden costs GPU utilization batching serving vLLM documentation Google ↗
fine tuning open source LLM infrastructure costs training storage evaluation monitoring security production deployment Google ↗
- Optimization and Tuning · docs.vllm.ai
- InfoHub · dell.com
- Approach 2: Adapting and deploying open-source models on nationally managed infrastructure · aph.gov.au
- The Architecture Calculus: A unit-economics view of the LLM stack | Generative AI Insights | Santiago & Company · santiagocompany.com
- Hidden TCO Audit: Open-Source & Open-Weight Model Costs · qubifytech.com
- vllm/docs/configuration/optimization.md at main · vllm-project/vllm · github.com
- Serve LLMs efficiently with vLLM | Get started with vLLM · developers.redhat.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
production self-hosted open source LLM inference hidden costs GPU utilization batching serving vLLM documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
fine tuning open source LLM infrastructure costs training storage evaluation monitoring security production deployment OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |