30 Best vLLM Alternatives & Competitors (2026)

vLLM is the default choice for serving open models at high throughput on your own GPUs, but it assumes you want to run and scale that GPU infrastructure yourself. People look for vLLM alternatives when the setup is heavier than the job requires, when they'd rather pay per token than manage servers, or when they need an engine tuned for a different kind of hardware.

The alternatives on this list split by how much infrastructure you want to own. Ollama and llama.cpp run open models on a single machine with far less setup, which suits local development and low-concurrency use. Hosted inference platforms like Together AI, Fireworks AI, and Baseten run open models on their own GPUs and bill per token or per GPU hour, so there's no serving stack to maintain. GPU clouds sit in between, renting hardware you then run your own engine on.

Whichever engine or platform serves the model, the production questions stay the same: which model handled each request, what it cost, and whether the output was any good. Respan routes to self-hosted endpoints and 1,000+ hosted models through one API, traces every call, and scores output on live traffic, so switching serving layers doesn't mean rebuilding your observability.