jd-opensource / jd-opensource/JoyAI-Video-Edit

High end-to-end latency on non-B200 GPUs

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Dominant language
Python
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Description

I found that when running on GPUs other than B200, the actual network/display latency becomes significantly higher.

Is there a way to optimize this for lower-end GPUs? Also, would it be possible to lower the FPS or reduce the number of frames processed per step to improve real-time responsiveness and reduce accumulated latency?

Contributor guide

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Research direction

The issue names no files, tests, or entry points. First reproduce the latency difference on a non-B200 GPU and compare network/display timing with B200; then locate the controls for FPS and frames processed per step. Done means lower-end GPUs show reduced accumulated latency without losing the intended real-time behavior.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning, performance
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
45/100

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