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tensorrt-llm - NVIDIA TensorRT-LLM LLM Inference Optimizer

Optimizes LLM inference on NVIDIA GPUs with quantization and multi-GPU scaling

Tags

Updated: 2026-03-19

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • optimize LLM inference
  • generate text
  • serve chat completions
  • compile models
  • quantize models
  • scale across GPUs

Inputs

  • LLM model identifier
  • input prompts
  • sampling parameters
  • NVIDIA GPU hardware

Outputs

  • generated text
  • inference results
  • model compilation output
  • chat completion responses

Requirements

  • NVIDIA GPU (A100/H100/GB200)
  • CUDA 13.0.0
  • TensorRT 10.13.2
  • Python 3.10-3.12

Source

  • Spec: SKILL.md

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Inference Optimization
TensorRT-LLM
NVIDIA GPU
LLM Inference
Model Quantization
Multi-GPU
High Throughput
Low Latency
Production Deployment
optimize LLM inference
generate text
serve chat completions
compile models
LLM model identifier
input prompts
sampling parameters
generated text
inference results
model compilation output