Running Multiple ComfyUI Instances in Parallel on a Single GPU — What Actually Breaks First
Article summary
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The Problem Nobody Has Measured If you have spent any time scaling ComfyUI beyond a single user, you have almost certainly hit the queue wall. ComfyUI processes one job at a time. Submit 30 requests and the 30th waits for the previous 29 to finish — regardless of how much VRAM you have sitting idle. The community has been asking for native parallel execution for years. The GitHub discussions tell the story clearly: one developer running three ComfyUI servers on a 48GB GPU reported that "while…
1Key Takeaways
- The Problem Nobody Has Measured If you have spent any time scaling ComfyUI beyond a single user, you have almost certainly hit the queue wall.
- ComfyUI processes one job at a time.
- Submit 30 requests and the 30th waits for the previous 29 to finish — regardless of how much VRAM you have sitting idle.
- The community has been asking for native parallel execution for years.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the Problem Nobody Has Measured If you have spent any time scaling ComfyUI beyond a single user, you have almost certainly hit the queue wall.
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