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TRT-LLM results in the benchmark #381

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@chrjxj

TRT-LLM 0.2 sec vs. NIM 14 sec, vs. torch 66 sec ----- the speedup is huge. could you please share the trt-llm recipes?

https://github.com/NVIDIA/cosmos/blob/6e2c69afafd6444c1ca14a021aba93fcc6b7996a/inference_benchmarks/cosmos3-super-generator.md#text-to-video-t2v

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  1. changed the title [-]TRT results in the benchmark[/-] [+]TRT-LLM results in the benchmark[/+] on Oct 19, 2026
  2. akushonkamen commented on Oct 22, 2026

    @akushonkamen

    I would like to help with this. I will draft a TRT-LLM inference recipe under inference_benchmarks/ (model export, engine build, and how it aligns with the torch/NIM paths in cosmos3-super-generator.md). Note upfront: I do not have A100/TRT-LLM hardware here, so I can document and script the recipe but cannot reproduce the benchmark numbers — maintainers will need to validate the exact latencies. Hope that is still useful; happy to adjust scope.

  3. akushonkamen commented on Oct 22, 2026

    @akushonkamen

    Update: while preparing this, I found that PR #384 (merged 2026-10-21, two days after this issue was filed) removed the entire inference_benchmarks/ directory — including cosmos3-super-generator.md — from this public repo, syncing its tree with nvidia-cosmos/cosmos-private. So there is no longer a public file for the TRT-LLM rows (PBR #308000) to be documented against.

    Given that, the TRT-LLM recipe this issue asks for can realistically only come from the NVIDIA team with access to the private repo / internal benchmark runs. I do not have A100/TRT-LLM hardware, so I cannot independently reproduce the 0.2s/14s/66s numbers. Closing my involvement here unless maintainers want a community-side TRT-LLM export/serve guide added somewhere under docs/ — happy to do that if useful.

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