Vllm Rate Limits
vLLM does not impose project-level API rate limits. Throughput is bounded by GPU memory, model size, batch settings (--max-num-seqs, --max-model-len), and tensor/pipeline parallelism. Optionally, set --api-key to require auth and put a reverse proxy (Nginx, Envoy) in front to enforce per-client throttles.
Vllm Rate Limits is the machine-readable rate-limit profile for vLLM on the APIs.io network, conforming to the API Commons Rate Limits specification.
It captures 2 rate-limit definitions, measuring n/a and concurrent-requests.
The profile also includes 2 backoff/retry policies defined and response codes documented for throttled.
Tagged areas include LLM, Inference, Open Source, GPU, and OpenAI Compatible.
Limits
Policies
Sources
Work with this as data
Every rate limit here is available over the APIs.io API and to AI agents over MCP.