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on-device inference worth the effort: what are you seeing? - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Edge AI & Gadgets (https://www.datasculpting.ai/inference/forumdisplay.php?fid=21) +--- Forum: Mobile (https://www.datasculpting.ai/inference/forumdisplay.php?fid=73) +--- Thread: on-device inference worth the effort: what are you seeing? (/showthread.php?tid=1075) Pages:
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Re: on-device inference worth the effort: what are you seeing? - batchscope72 - 10-18-2026 Appreciate the detail. The pattern around consumer GPUs has been pretty similar for me. Re: on-device inference worth the effort: what are you seeing? - fusedriver - 10-18-2026 Can you fill in a bit more context? What model, what runtime, and roughly what context size? Re: on-device inference worth the effort: what are you seeing? - mellowstream - 10-18-2026 Can you fill in a bit more context? What model, what runtime, and roughly what context size? Re: on-device inference worth the effort: what are you seeing? - relaysupply90 - 10-18-2026 Quote:Can you fill in a bit more context? What model, what runtime, and roughly what context size? Appreciate the detail. That matches what I saw on 7900 XTX. The biggest change for me was simplifying the stack instead of adding one more optimization layer. Re: on-device inference worth the effort: what are you seeing? - cozysmith - 10-19-2026 Can you fill in a bit more context? Are you testing this on GB200 or something else? Re: on-device inference worth the effort: what are you seeing? - thetaember38 - 10-19-2026 A couple things I'd check first. Before rebuilding anything, I'd test one clean baseline with Qwen and compare from there. |