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RTX 5090 local inference 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: RTX 5090 local inference for Llama (/showthread.php?tid=1180) Pages:
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Re: RTX 5090 local inference for Llama - fastbench - 10-19-2026 My first guess would be this: On GB200, the easiest win is often to back off the aggressive settings and see whether the problem survives. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. Re: RTX 5090 local inference for Llama - thetapath - 10-19-2026 What worked for me was pretty simple. If you're on llama.cpp, I'd confirm the version first and then reduce variables until the behavior is obvious. Re: RTX 5090 local inference for Llama - fusedhall - 10-19-2026 Not sure I agree there. I've seen people blame consumer GPUs when the real issue was much more mundane. Worth testing the simpler explanation before adopting the more interesting one. Re: RTX 5090 local inference for Llama - circuitwire58 - 10-19-2026 My first guess would be this: If you're on MLX, I'd confirm the version first and then reduce variables until the behavior is obvious. Not glamorous advice, but repeatable baselines save a lot of time. |