tensorrt-llm
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.
- Score
- Unranked
- Evidence
- No signals yet
- Last commit
- Not known
- Listed
Install
armory install tensorrt-llm --cli claudewrites the skill into.claude/skills/tensorrt-llm/SKILL.mdListed as compatible
# fetches the source and writes it to:
.claude/skills/tensorrt-llm/SKILL.mdNeeds the armory CLI · not on npm yet, build it from cli/ in the repository
What it is
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.
When to use it
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 / invoke
# Copy the skill into your .claude/skills/ directory
curl -sL https://raw.githubusercontent.com/davila7/claude-code-templates/main/cli-tool/components/skills/ai-research/inference-serving-tensorrt-llm/SKILL.md -o .claude/skills/inference-serving-tensorrt-llm/SKILL.md
Notes
Extracted from davila7/claude-code-templates, inference-serving-tensorrt-llm category.