Framework & Tool

TensorRT-LLM

NVIDIA's LLM-specific extension of TensorRT for maximum GPU inference throughput.

Definition

TensorRT-LLM compiles transformer models to highly-optimised CUDA kernels with INT8/FP8 quantisation, fused operators and in-flight batching. It is the fastest serving path on NVIDIA GPUs and underpins Triton-based production deployments.

Common use cases

  • NVIDIA inference
  • Triton serving
  • High-throughput production

Related terms

    TensorRT-LLM — AI Glossary | Railwail