ai-agent

TensorRT-LLM: Fast LLM Inference

Name: TensorRT-LLM: Fast LLM Inference
Author: NVIDIA

Get efficient Large Language Model inference with TensorRT-LLM, a Python API for founders, backed by 14k+ GitHub stars.

intermediate⏱ 30 minutes💵 Free + LLM API costs

13,993 stars2,500 forksPythonQuality 8/10Updated 6/29/2026100% free · open source

What it is

Use Python to define and run Large Language Models.

What you can make with it

Agents that perform tasks like answering customer queries, generating product descriptions.

How it helps

TensorRT LLM helps users perform inference efficiently on NVIDIA GPUs, saving time and costs.

Real use case example

"A founder uses TensorRT LLM to create a customer support chatbot. They write a Python script to define the model, train it on customer data, and deploy it on their GPU. The chatbot answers common questions, freeing up human support staff to focus on complex issues."

If you're new

Picking up this skill takes some prior programming experience and familiarity with Python and AI concepts.

If you're senior

Senior engineers and professionals use TensorRT LLM for demanding language model applications requiring high performance and efficient inference.

Common confusion cleared up

Don't confuse TensorRT LLM with other AI engines; it's specifically designed for large language models and NVIDIA GPU acceleration.

Best inside these AI tools

Claude DesktopCodex CLIContinue

Pairs with

Stripe webhookNotion databaseGemini

Why we list it on WorkflowStacks: A marketplace of AI tools includes this for access to state-of-the-art optimizations.

About this skill

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.