“System throttled due to Over-current” Error When Deploying Qwen3-VL-8B with vLLM on Jetson Thor for Multi-Image Inference

Robotics & Edge Computing Jetson Systems Jetson Thor
1

Hello,

I’m encountering a persistent “system throttled due to over-current” error when using nvcr.io/nvidia/vllm:25.12.post1-py3 to deploy the Qwen3-VL-8B model on my Jetson Thor for multi-image inference tasks.

The issue occurs consistently across all available power modes ( 120W 、MaxN mode) whenever the workload increases during inference. Currently, I am powering the device via its Type-C port.

My questions are:

  1. Is it safe to ignore this error and continue operation, or does it indicate a risk of hardware damage?

  2. Could this be a power supply limitation? Would switching to the official barrel connector (DC) power supply likely resolve or mitigate this over-current throttling?

Any insights or suggestions would be greatly appreciated. Thank you.

3

Hi suujune,

Are you using the devkit or custom board for Jetson Thor?
What’s the Jetpack version in use?

OC event is designed to protect the module which may trigger the throttling and decrease the performance.

What you are running to reproduce this issue?
We will suggest creating the custom board config according to your use case.

4

Hi, I am using the Jetson Thor devkit with JetPack 7.1.
When running 5 concurrent requests, each processing 4 images of 1280*720 resolution for inference, the over-current error occurs consistently.

5

Could you run sudo tegrastats during a high-load task and then create a custom power mode based on those results?

6

I would like to know if using DC power supply would yield better performance. Where can I purchase a compatible DC power adapter? Why does Thor retain the DC power interface?

7

Both the DC input and USB-C port can serve as power sources, though their power delivery capabilities may differ.
To achieve optimal performance , you should configure the power settings to match your specific workload and requirements."

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