Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
How to install tensorrt-llm?
mustafakemal0146/fetih/tensorrt-llm
$npx -y skills add mustafakemal0146/fetih --skill tensorrt-llmInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mustafakemal0146/fetih" --skill "mustafakemal0146/fetih/tensorrt-llm"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mustafakemal0146/fetih" that are relevant to the current task. Run `npx skills add "https://github.com/mustafakemal0146/fetih"` and select the relevant skills, then follow their instructions.
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