Two Business Models for Running AI Inference – Hosted APIs vs Deployment Platforms (Includes vLLM Context)
Analysis of AI inference business models, contrasting hosted model APIs with deployment platforms and referencing vLLM as an open‑source standard for high‑efficiency large‑scale LLM inference used by startups and indie developers.
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Why Buy
You are deciding whether to run vLLM in‑house or buy hosted inference from a provider.
Explains hosted model API vs deployment platform models for inference
Lists multiple infrastructure providers relevant to vLLM‑style workloads
Positions vLLM as a common benchmark for startup LLM usage
💡 Pro Tip: Before choosing between self‑hosted vLLM and hosted APIs, map out your expected token volume and latency needs to compare total cost of ownership.
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