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VRAM bottleneck on consumer cards for Qwen - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Hardware (https://www.datasculpting.ai/inference/forumdisplay.php?fid=4) +--- Forum: GPUs (https://www.datasculpting.ai/inference/forumdisplay.php?fid=28) +--- Thread: VRAM bottleneck on consumer cards for Qwen (/showthread.php?tid=1460) Pages:
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Re: VRAM bottleneck on consumer cards for Qwen - amberhall - 10-19-2026 I don't think that's the whole story. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet. Re: VRAM bottleneck on consumer cards for Qwen - vrambandit - 10-19-2026 I'd approach it in a boring order. If you're on PyTorch, I'd confirm the version first and then reduce variables until the behavior is obvious. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. Re: VRAM bottleneck on consumer cards for Qwen - thetarunner - 10-19-2026 Did a small comparison this afternoon. My result was mixed: first run looked bad, second run looked normal. The main thing that moved was latency, not quality. Re: VRAM bottleneck on consumer cards for Qwen - signaltrack44 - 10-19-2026 Quote:[quote][quote]My first guess would be this: Before rebuilding anything, I'd test one clean baseline with DeepSeek and compare from there. Not glamorou I don't think that's the whole story. I've seen people blame VRAM headroom when the real issue was much more mundane. Could be a workload difference, but I wouldn't generalize too fast from one setup. Re: VRAM bottleneck on consumer cards for Qwen - thetarunner - 10-19-2026 Not sure I agree there. The reported numbers can look compelling, but in ordinary usage I didn't see the same benefit. Not saying you're wrong, just that I wouldn't lock that in as the lesson yet. I'm happy to test one more variant if you want a second data point. Re: VRAM bottleneck on consumer cards for Qwen - amberhall - 10-19-2026 Tried to reproduce it just now. My result was mixed: first run looked bad, second run looked normal. I expected the model choice to matter more than it did. |