Run on Badgr

vLLM Endpoint

Serve an OpenAI-compatible vLLM endpoint for open models with health checks, live logs, and automatic teardown on idle or budget limit.

Example command

badgr serve Qwen/Qwen3-32B \
  --gpu H100 \
  --max-cost 10

Common failure modes

Endpoint fails health check on cold start

Increase startup timeout — large models can take several minutes to load weights before /v1/models responds.

High first-token latency under load

Move to a Fast Serving route (H100) or reduce max concurrent sequences.

Context length errors on long prompts

Confirm the model's max context and route to a higher-VRAM GPU (A100 80GB or H200) for long-context workloads.

Routes for vLLM Endpoint

L40S 48GB · United States

Available

from $0.86/hr

Best for

ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct

Startup: 3–6 min

Reliability: Good

Last checked: just now

L40S 48GB · Europe

Available

from $0.86/hr

Best for

ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct

Startup: 3–6 min

Reliability: Good

Last checked: just now

L40S 48GB · Asia Pacific

Available

from $0.86/hr

Best for

ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct

Startup: 3–6 min

Reliability: Good

Last checked: just now

L40S 48GB · United States

Available

from $0.99/hr

Best for

ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct

Startup: 3–6 min

Reliability: Good

Last checked: just now

L40S 48GB · Europe

Available

from $0.99/hr

Best for

ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct

Startup: 3–6 min

Reliability: Good

Last checked: just now

L40S 48GB · Asia Pacific

Available

from $0.99/hr

Best for

ComfyUI, vLLM Endpoint, Qwen 2.5 7B Instruct

Startup: 3–6 min

Reliability: Good

Last checked: just now