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Use this resource to optimize and serve an LLM on NVIDIA GPUs with TensorRT-LLM
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Free
In a terminal, from the folder you want:
npx --yes palatekit@latest install tensorrt-llm-inference-optimizationWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent walks you through installing TensorRT-LLM, basic inference, quantization (FP8, INT4) and serving with trtllm-serve. You get a deployment configuration and the points to watch.
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Updated November 2, 2026
You say
“Prepare a TensorRT-LLM deployment of an 8B model in FP8, served on two H100 GPUs.”

Skill published by davila7 under the MIT license, delivered in its original version.
Listed unmodified
« inference-serving-tensorrt-llm » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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