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VRAM bottleneck on consumer cards for Llama - 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 Llama (/showthread.php?tid=1355) Pages:
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Re: VRAM bottleneck on consumer cards for Llama - quiethouse - 10-19-2026 Appreciate the detail. I don't think your conclusion is far off. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: VRAM bottleneck on consumer cards for Llama - circuitwire58 - 10-19-2026 What exact setup are you running? Are you testing this on M3 Max or something else? Re: VRAM bottleneck on consumer cards for Llama - thetarunner - 10-19-2026 Quote:Good point. The pattern around consumer GPUs has been pretty similar for me. My first guess would be this: Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at tokens/sec. Not glamorous advice, but repeatable baselines save a lot of time. If you post your exact settings, people here can probably narrow it down pretty fast. Re: VRAM bottleneck on consumer cards for Llama - latentpeak22 - 10-19-2026 I don't think that's the whole story. I wouldn't optimize around that first. On my side the bigger swing came from the runtime and not the model. |