Author: DigitalOcean - Bewertung: 0x - Views:7
Serverless API, managed dedicated endpoint, or a GPU you run yourself — we ran the same model (Qwen3-32B on vLLM) with identical prompts through all three and tracked what every answer really costs. The deciding factor isn't the hardware, it's utilization: a near-idle GPU quietly burns 2–4x what serverless would charge, and the cost crossover sits around 25–50% duty cycle. Here's the full three-way breakdown, and the rule we'd give any startup choosing an inference stack.
Chapters:
0:00 The advice every founder gets (and what we found)
0:45 Serverless vs dedicated vs self-hosted, defined
1:20 Our setup: one model, three deployments
2:10 Time to first request — and when billing starts
3:08 Single-stream speed vs latency under load
4:00 Cost per answer: duty cycle vs concurrency
6:06 Renting vs buying, and the managed premium
7:05 The decision rule for startups
8:01 The traps we hit (so you don't have to)
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