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when TensorRT-LLM clearly wins: early impressions - 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: when TensorRT-LLM clearly wins: early impressions (/showthread.php?tid=576) Pages:
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Re: when TensorRT-LLM clearly wins: early impressions - vectorport - 10-02-2026 A couple things I'd check first. If you're on vLLM, I'd confirm the version first and then reduce variables until the behavior is obvious. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it. Re: when TensorRT-LLM clearly wins: early impressions - kernelmike - 10-02-2026 Thanks, that helps. 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: when TensorRT-LLM clearly wins: early impressions - vramport - 10-03-2026 Maybe, but I had the opposite result. I get why that seems right, but on B200 the bottleneck felt elsewhere. Worth testing the simpler explanation before adopting the more interesting one. |