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throughput per watt reality check for Mistral - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Inference Engines (https://www.datasculpting.ai/inference/forumdisplay.php?fid=9) +--- Forum: Other Engines (https://www.datasculpting.ai/inference/forumdisplay.php?fid=39) +--- Thread: throughput per watt reality check for Mistral (/showthread.php?tid=1051) Pages:
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Re: throughput per watt reality check for Mistral - tinycontext - 10-15-2026 Quote:That matches what I was seeing. I don't think your conclusion is far off. Worth rechecking your defaults though, because one bad assumption can make t That matches what I was seeing. I ended up in about the same place using TensorRT-LLM. I got better results once I stopped chasing one metric and just looked at whether the workflow felt usable. Re: throughput per watt reality check for Mistral - flintriver50 - 10-18-2026 A couple things I'd check first. Before rebuilding anything, I'd test one clean baseline with Qwen and compare from there. Re: throughput per watt reality check for Mistral - cacheworks - 10-18-2026 Did a small comparison this afternoon. My result was mixed: first run looked bad, second run looked normal. The surprise was that memory pressure showed up before throughput collapsed. Re: throughput per watt reality check for Mistral - kernelhouse70 - 10-19-2026 I tested this tonight. I couldn't reproduce the slowdown until I pushed context much higher. The main thing that moved was latency, not quality. |