Jetson Orin NX Build for Hermes Agent + Benchmarking

Reddit r/LocalLLaMA Tools

Summary

A detailed build and benchmarking of a Jetson Orin NX system for running Hermes Agent, achieving 14.65 tok/s at 8k context and 10.21 tok/s at 60k context with Gemma 4 26B quantized model.

I had a [huge LLM server](https://dnhkng.github.io/posts/hopper/), and [now I have a tiny one!](https://dnhkng.github.io/posts/jetson-orin-nx-vram-tuning/) I had a Jetson Orin NX gathering dust from a long dead robotics project, from back in the Llama-7B days. I figured now with MoE and smaller models doing well, it was time to mess with it again. **Goal:** * As silent as possible (given they bumped the power from 25W -> 40W) * Greater than 10 tok/s TG and 300 tok/s PP * at least 65K context for Hermes Agent * Must look cool AF 👌🏻 With those constraints, I had to take a hacksaw to the stock heatsink and make a new case. Then I tested way too many models (the expected, Gemma-4's and Qwen 3.6's), but with too many quant variations. [It's all written up in the blog!](https://dnhkng.github.io/posts/jetson-orin-nx-vram-tuning/) **TL;DR**: Gemma 4 26B A4B UD Q2\_K\_XL gives: * 66K context window * 14.65 tok/s at \~8k context * 10.21 tok/s at \~60k context * Still does an OK job with multiple tool calls with long prompts Hope this comes in handy!
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