tensorrt-llm
About
TensorRT-LLM is a Claude Skill that optimizes LLM inference for maximum throughput and lowest latency on NVIDIA GPUs. Use it for production deployments when you need significantly faster performance than PyTorch, support for quantization (FP8/INT4), and features like in-flight batching and multi-GPU scaling.
Quick Install
Claude Code
Recommendednpx skills add davila7/claude-code-templates -a claude-code/plugin add https://github.com/davila7/claude-code-templatesgit clone https://github.com/davila7/claude-code-templates.git ~/.claude/skills/tensorrt-llmCopy and paste this command in Claude Code to install this skill
GitHub Repository
Frequently asked questions
What is the tensorrt-llm skill?
tensorrt-llm is a Claude Skill by davila7. Skills package instructions and resources that Claude loads on demand, so Claude can perform tensorrt-llm-related tasks without extra prompting.
How do I install tensorrt-llm?
Use the install commands on this page: add tensorrt-llm to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does tensorrt-llm belong to?
tensorrt-llm is in the Other category, tagged Inference Serving, TensorRT-LLM, NVIDIA, Inference Optimization, High Throughput and Low Latency.
Is tensorrt-llm free to use?
Yes. tensorrt-llm is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
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