---
title: "TensorRT-LLM - Air Market"
description: "You have a model that works and now it has to serve real traffic on NVIDIA hardware. This covers optimizing inference with TensorRT: quantization, batching requests in flight, and spreading a model a…"
canonical: "https://airmarket.ai/app/tensorrt-llm"
---

[Air Market](/) / [Data & Analytics](/category/data) / TensorRT-LLM

Skill by [Orchestra Research](/@orchestra-research)

# TensorRT-LLM

Serve models on NVIDIA hardware built for throughput, not experiments

## What this does

You have a model that works and now it has to serve real traffic on NVIDIA hardware. This covers optimizing inference with TensorRT: quantization, batching requests in flight, and spreading a model across several GPUs. Reach for it when the research setup is too slow to serve and you need the production version.

### Top 3 things it does for you

- Push a model into production on NVIDIA GPUs
- Squeeze more throughput out of the GPUs you have
- Serve a quantized model

## Information

**TensorRT-LLM at a glance**

|  |  |
| --- | --- |
| Kind | Skill |
| Publisher | [Orchestra Research](/@orchestra-research) |
| Category | [Data & Analytics](/category/data) |
| Works with | Agent Skills - an open standard supported by 40+ agents |
| Version | 1.0.0 |
| Size | 27 KB |
| Licence | MIT |
| Repository | [orchestra-research/ai-research-skills](https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/12-inference-serving/tensorrt-llm) |
| GitHub stars | 11,987 (as of Nov 2026) |

## Security report

**Verified.** AIR scanned this exact version of TensorRT-LLM and flagged nothing. AIR's verdict: **safe**.

**What TensorRT-LLM's check was run against**

|  |  |
| --- | --- |
| Commit | 28f2d29236f2bade2eb92cadb2585189589a5828 |
| Content hash | a1d4b0db163b9f354a5e116df67b1cad5551a0cc605dbf454ca0444206568db0 |
| Files read | [Browse the files at this exact commit](https://github.com/orchestra-research/ai-research-skills/blob/28f2d29236f2bade2eb92cadb2585189589a5828/12-inference-serving/tensorrt-llm/SKILL.md) |

A scan is named by the exact content it read, not by a version number. A different version is a different artifact, and nothing here applies to a version AIR has not scanned.

[Read the full security report for TensorRT-LLM](/security/tensorrt-llm)

## About TensorRT-LLM

This covers optimizing LLM inference with NVIDIA TensorRT, aimed at throughput and latency rather than at experimentation.

It is for production deployment on NVIDIA GPUs, including A100 and H100, and for the cases where the research-time setup is not fast enough to serve. The claimed gain over PyTorch inference is large.

It also covers the serving techniques that come with it: quantization down to FP8 and INT4, in-flight batching, and multi-GPU scaling.

## What's inside

- SKILL.md - instructions
- references/multi-gpu.md - reference
- references/optimization.md - reference
- references/serving.md - reference

## Questions

### Is TensorRT-LLM safe to install?

AIR scanned this exact version of TensorRT-LLM and flagged nothing. AIR's verdict: safe. The verdict is named by the content that was read, at commit 28f2d29236f2, so it cannot drift onto a version nobody scanned. The full report is at https://airmarket.ai/security/tensorrt-llm.

### How do I install TensorRT-LLM?

Open https://airmarket.ai/app/tensorrt-llm on Air Market and use the install action: Air Market hands Claude a prompt naming this exact skill, and Claude sets it up. Source, pinned to the exact commit this listing describes: https://github.com/orchestra-research/ai-research-skills/tree/28f2d29236f2bade2eb92cadb2585189589a5828/12-inference-serving/tensorrt-llm. Install from that link, not the branch.

## Related on Air Market

- [More Data & Analytics listings](/category/data)
- [Everything by Orchestra Research](/@orchestra-research)

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Canonical URL: <https://airmarket.ai/app/tensorrt-llm>