VLM Inference Benchmark Explorer

Qwen3-VL-30B-A3B-Instruct on DGX Spark — FP8, vLLM vision-language inference benchmark

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ModelQwen3-VL-30B-A3B-Instruct
Parameters30B
DeviceDGX Spark
QuantizationFP8
Image size720p
Images per camera1
Max Cameras (response ≤ 3 s)16
EnginevLLM
CamerasResponse (s)TPS (tok/s)Target
10.3650.4≤3 s
20.5736.7≤3 s
40.9524.6≤3 s
81.5517.1≤3 s
162.2911.9≤3 s
323.448.3>3 s
645.635.1>3 s
968.673.7>3 s
1049.233.4>3 s
112——Failed
Images per requestResponse (s)TPS (tok/s)Target
10.3650.4≤3 s
20.5849.9≤3 s
41.1747.9≤3 s
82.4345.0≤3 s
165.3039.7>3 s
3212.932.4>3 s
6434.823.6>3 s
128110.115.1>3 s
256379.88.9>3 s
512——Failed

Qwen3-VL-30B-A3B-Instruct (30B parameters), served in FP8 format with vLLM on DGX Spark, starts answering a single camera that sends one 720p image after 0.36 s, then writes 50.4 tok/s.

With 256 images per camera at 720p, the answer starts after 379.83 s. With one 2K image, after 1.5 s.

At the default target of an answer starting within 3 s (720p, one image per camera), it keeps up with 16 cameras at once.