| TakumoTsakuhariaw |   
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I was running a small AI training setup at home and noticed occasional slowdowns when all GPUs were under full load. It made me wonder if PSU stability or ripple might be affecting performance. Has anyone seen instability like this in multi-GPU systems?
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| 4/12/2026 7:12:26 PM |    |
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| nomasox2 |
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I don’t run AI clusters myself, but I’ve worked around systems where multi-GPU loads are common, and PSU behavior often gets overlooked until performance starts fluctuating. Most people focus on cooling or drivers, but power delivery stability quietly affects consistency under long workloads.
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| 4/12/2026 7:31:21 PM | |
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| rixol |
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I’ve seen similar behavior in a render node that ran multiple GPUs 24/7. At first it looked like software throttling, but it turned out the PSU was struggling with sustained load and ripple under GPU spikes. What really changed my view was understanding how electromagnetic compatibility in PC PSU ties into real system stability, especially when you’re dealing with constant transient loads. It stopped me from thinking of it as just a “theory spec” and made me look at how the whole power delivery chain reacts in real time under stress. In that setup, once we moved to a unit built for continuous operation, those small performance drops just disappeared, even during long AI workloads where everything is fully saturated.
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| 4/12/2026 10:11:48 PM | |
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