▲ 15 r/JetsonNano
I bought this 6 months ago and trying to run LLM and I didn't succeed but I'm just finding out it has an mvme slot under the ram slot? Is this any useful and what type of board is it?
u/Dull-Mess-285 — 2 days ago
r/JetsonNano
Building my first humanoid robot from scratch — the head now has local voice + vision
I’ve been building a humanoid robotics project called Evopien, mostly as a solo engineering project, and I’ve reached the point where the first head prototype can actually interact in a reasonably coherent way.
I decided not to start with arms or locomotion.
My first milestone was to get the basic sensory/conversational system working properly:
camera → visual input
microphone array → speech
local ASR → transcription
local LLM → reasoning/conversation
local TTS → speech output
The whole thing currently runs on an NVIDIA Jetson Orin Nano Super 8GB.
The head can now:
- listen and speak locally
- continue listening while it is speaking
- be interrupted naturally
- switch between English and Spanish
- use the camera when asked visual questions
- answer based on a current camera frame
The current hardware is intentionally pretty ugly. C920, ReSpeaker, external speakers, Jetson and cables.
I’m trying to prove the architecture before spending time designing the physical head.
The next major step is moving from a stationary conversational head toward proper perception/attention and eventually head movement, followed later by arms and hands.
Here is the current demo if anyone wants to see it working:
https://www.youtube.com/watch?v=iAxzePzF4cM
I’d especially appreciate criticism from people who have gone from a perception prototype into actual physical robotics. What would you make the next milestone before starting the mechanical head?
u/SoftKill21 — 3 days ago
NVIDIA Jetson AI Research Lab call: Autonomous Vehicles in Agriculture and Agentic Workflows
We begin each call with an opportunity for Jetson engineering hiring managers to have their job postings quickly promoted to the community to help connect our community. This is a great opportunity to find active engineers looking to make a career move.
📅 When: 18th August 2026 at 9:00 am PST
📋 Agenda for this month’s Jetson AI Research Lab Call
💼 Employers/Employees Opportunities: (Jetson AI Research Lab Discord Maintainer):
🌾 Deploying autonomous vehicles in agriculture and beyond from **Michael McGuire**, CTO at EarthSense
Abstract: Autonomous outdoor robots are poised to transform agriculture and many other industries. Developing these systems requires innovation at every level of the stack. Successful systems must deliver on hardware, software, and precise autonomy. Concerns such as safety, price, reliability, and manufacturability must be considered from the start. I'm Michael McGuire, CTO at EarthSense, where we develop and deploy robots in corn, soybeans, grapes, oil palm, solar farms, and beyond. The Jetson computer plays a key role in EarthSense's technology stack, ensuring reliable real-time performance at an affordable cost. I'll talk about the unique challenges presented by outdoor autonomy, the solutions EarthSense has developed, and where Jetson fits into our roadmap. Along the way, I'll introduce the specific robots we've built and what running them in real fields taught us.
🤖 Agentic workflow on Jetson and Jetpack 7.2.1 Updates from **Aditya Sahu**, Technical Marketing Engineer at NVIDIA
Jetson Device Skills are agent skills that enable AI coding agents to understand and operate a live NVIDIA Jetson device. Now we have Video SDK skills in it. Updates on Jetpack 7.2.1 release with Support for Jetson T3000 emulation.
As always, this is an open, collaborative call where Jetson enthusiasts gather to:
Showcase: Share novel projects and real-world applications.
Problem-Solve: Break down technical issues and implementation hurdles.
Brainstorm: Discuss the future of edge AI, computer vision, and agent deployment.
Hire or Be Hired: Whether you are looking to hire or looking to be hired this is the hub from aspiring physical AI or embodied AI start their career journey
Whether you're looking to learn how to get your first agent running on an NVIDIA Jetson or want to show off a complex build, we’d love to have your voice in the conversation.
In September we plan to return to our lightning round format showcases projects by members of the community.
u/FrequentAstronaut331 — 5 days ago
Control Your Jetson From Any Computer With One USB Device
We're thrilled to see the Cytrence Kiwi+ Drive featured in a full-length tutorial created by the legendary u/JetsonHacks on YouTube!
Cytrence Kiwi for Jetson by JetsonHacks
Cytrence Kiwi+ is designed with day-to-day development workflows in mind, and edge AI devices like Jetson have been a perfect use case since Kiwi's inception.
It's an absolute honor to have Kiwi's wide range of functionalities, even the UART debugging, explained so clearly in such an insightful and concise demo.
Check out the demo and learn more at cytrence.com
r/JetsonNano r/NvidiaJetson r/JetsonThor r/EdgeAI_Hardware
u/Neat-Refuse-8151 — 9 days ago
We’re seeing up to 110% higher Qwen3.5 4B throughput on Jetson Orin Nano — benchmarks and repo available
We’ve been working on a runtime GPU optimization system at TETREVIS and have started publishing some of our NVIDIA Jetson benchmarking work publicly.
The approach operates at the execution/machine-code layer, and we’re now introducing dynamic runtime kernel fusion as part of the optimization pipeline.
Some of our current results:
Jetson Orin Nano — Qwen3.5 4B
Standard baseline: 10 → 21 tok/s (+110%)
CUDA Graphs baseline: 16 → 21 tok/s (+31.25%)
Jetson AGX Orin — Nemotron 3 Nano 4B
31.2 → 40.5 tok/s (~30%)
Jetson AGX Orin — Qwen3.5 4B
25.0 → 31.0 tok/s (+24%)
We’re currently expanding and stabilizing support across Jetson Orin Nano, Orin NX, and AGX Orin.
Rather than only posting performance claims, we’ve made the benchmarking repository available here:
https://github.com/mbuchel/sass2mlir-bench
The broader idea we’re exploring is whether more optimization can be moved to runtime — including machine-code optimization and dynamic kernel fusion — so the execution path can be adapted to the workload and GPU rather than relying entirely on what was determined ahead of execution.
There’s still quite a bit of work underway, particularly around consistency across the different Jetson configurations, but we wanted to start sharing the results and methodology publicly.
Technical feedback, criticism, and questions are welcome.
u/checkmydoor — 9 days ago
▲ 0 r/JetsonNano
À la recherche de passionnés pour concevoir des humanoïdes open-source et rivaliser avec Unitree
Salut à tous !
Je m'appelle Sébastien, et je suis en train de travailler sur un projet d’humanoïde open source inspiré du concept InMoov v1.2 (avec des modifications pour la tête). Mon objectif est de créer un robot autonome, évolutif et performant, capable de rivaliser avec des modèles comme ces de Unitree (ex : H1, G1).
Ce que je cherche :
✅ Des passionnés (débutants ou expériences) pour :
- Co-concevoir des pièces mécaniques.
- Partenaire des idées sur l'IA embarquée (mouvement, vision, apprentissage).
- Testeur et itérateur ensemble sur des prototypes.
- Documentariste le projet pour une communauté open-source.
✅ Des retours d'expérience sur :
- Les défauts rencontrés avec des humanoïdes (équilibre, puissance, coût).
- Des alternatives aux composants (ex : moteurs, actionneurs).
- Des études pour optimiser l'autonomie et la mobilité.
Pourquoi ce projet ?
Je veux prendre qu'avec une communication collaborative, sur peut créer un humanoïde abordable, modulaire et performant — sans dépendance des solutions propriétaires comme Unité
u/Last-Promise8035 — 10 days ago
▲ 0 r/JetsonNano
Looking to build a delivery robot with a Jetson orin nano
I am looking to build a robot for delivery purposes, mainly food but not only. I was in doubt between radxa rock 5c and Nvidia Jetson orin nano upgraded firmware. Now is it worth going with Jetson or will the radxa be enough?
The robot will move on busy streets with cars, people, bicycles, motors and dogs. I am preoccupied mainly because of that. There I see Jetson more capable. If you have ever worked for a delivery robot, what costs did it involve and is the lidar scanner of utmost importance? What kind of lidar would you suggest?
Any suggestions in general?
Will there be any Nvidia upcoming chips that might work better?
u/GSquadron_ — 14 days ago