About
TensorRT-LLM is an NVIDIA library that optimizes LLM inference for maximum throughput and lowest latency on NVIDIA GPUs. It is ideal for production deployments requiring 10-100x faster performance than PyTorch, supporting features like quantization and multi-GPU scaling. Use it when you need top performance on NVIDIA hardware, opting for alternatives like vLLM for simpler setups or llama.cpp for CPU/Apple Silicon.
Quick Install
Claude Code
Recommendednpx skills add zechenzhangAGI/AI-research-SKILLs -a claude-code/plugin add https://github.com/zechenzhangAGI/AI-research-SKILLsgit clone https://github.com/zechenzhangAGI/AI-research-SKILLs.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 zechenzhangAGI. 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 ai.
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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