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serving on Blackwell - Printable Version +- Inference (https://www.datasculpting.ai/inference) +-- Forum: Inference Engines (https://www.datasculpting.ai/inference/forumdisplay.php?fid=9) +--- Forum: TensorRT-LLM (https://www.datasculpting.ai/inference/forumdisplay.php?fid=37) +--- Thread: serving on Blackwell (/showthread.php?tid=1354) Pages:
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Re: serving on Blackwell - kernelmike - 10-19-2026 What worked for me was pretty simple. On B200, 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: serving on Blackwell - rasterbench - 10-19-2026 Maybe, but I had the opposite result. I've seen people blame batch size when the real issue was much more mundane. Re: serving on Blackwell - tensorfield88 - 10-19-2026 Quote:I'd approach it in a boring order. Before rebuilding anything, I'd test one clean baseline with Phi and compare from there. A couple things I'd check first. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at prefix caching. |