[None][doc] Refine deployment guide by renaming TRT-LLM to TensorRT L… #8214
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…LM and removing backend parameter. Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
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📝 WalkthroughWalkthroughDocumentation updates across four deployment guides: standardized terminology from “TRT-LLM” to “TensorRT LLM,” adjusted section headings, removed the “--backend pytorch” flag from example trtllm-serve commands, and updated narrative/status examples accordingly. No code, API, or behavioral changes. Changes
Estimated code review effort🎯 1 (Trivial) | ⏱️ ~3 minutes Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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chzblych
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Oct 9, 2025
kris1025
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Oct 14, 2025
NVIDIA#8214) Signed-off-by: nv-guomingz <137257613+nv-guomingz@users.noreply.github.com>
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…LM and removing backend parameter.
1.0.0rc6 already set the default backend to PyTorch for trtllm-serve, so no need to specify it explicitly.
Summary by CodeRabbit
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PR Checklist
Please review the following before submitting your PR:
PR description clearly explains what and why. If using CodeRabbit's summary, please make sure it makes sense.
PR Follows TRT-LLM CODING GUIDELINES to the best of your knowledge.
Test cases are provided for new code paths (see test instructions)
Any new dependencies have been scanned for license and vulnerabilities
CODEOWNERS updated if ownership changes
Documentation updated as needed
The reviewers assigned automatically/manually are appropriate for the PR.
Please check this after reviewing the above items as appropriate for this PR.
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