NVIDIA® Jetson™ Powered Edge AI Devices Guide
Jetpack Flash and Hardware Usage
Most of our reComputer Jetson products come with NVIDIA JetPack system pre-installed on the device. However, if you want to flash these devices again or flash other devices which do not come with JetPack system, you can follow the below links for step-by-step guidance. We have also included guidance on how to use different hardware peripherals on these NVIDIA Jetson powered devices.
Carrier Board
reComputer Jetson
reComputer Industrial
reServer Industrial
reServer Jetson
Ohter Devices
reComputer J10x
reComputer J20x
reComputer J30x/40x
reComputer J50x
A203
A205
A603
A607
A608
AI Developer Tools
After accessing an NVIDIA Jetson device, the AI development process involves several key steps: obtaining and labeling data for training, training and optimizing the AI model to ensure optimal performance on the device, and finally deploying the model to build applications. Additionally, applications can be managed remotely, allowing for tracking of device performance metrics to ensure field efficiency. Comprehensive wiki guides are available to support this AI workflow using various software tools.
Data Upload & Label
AI Model Train
AI Model Optimize
AI Model Deploy
Remote Manage
Community Projects
Computer Vision
Train and Deploy YOLOv8 on reComputer
Few-Shot Object Detection with YOLOv5 and Roboflow
Deploy YOLOv8 using TensorRT and DeepStream
Maskcam - Crowd Face Mask Usage Monitoring
AI NVR with reServer Jetson
Deploy Frigate On a reComputer(NVIDIA Jetson) device
Quickly Experience YOLOv10 on reComputer
One-Click Quick Deployment of Plug-and-Play Ultralytics YOLOv8
Generative AI
Custom Local LLM: Fine-tune LLM by Llama-Factory on reComputer
Quantized Llama2-7B with MLC LLM on reComputer
Run a Local LLM Text-to-Image on reComputer
Deploy Whisper on reComputer for Real time Speech to Text
Local RAG based on Jetson with LlamaIndex
Zero-Shot Detection on reComputer with Jetson Platform Services
Run VLM on reComputer with Jetson Platform Services
Format Output with Langchain
Local Voice Chatbot : Deploy Riva and Llama2 on reComputer
Speech Subtitle Generation on Nvidia Jetson
Local AI Assistant : Deploy Ollama and AnytingLLM on Jetson
Run VLM with speech interaction on reComputer Jetson
One click Using Llama-Factory
One click Deploy Deep-Live-Cam AI face-swapping
Run ComfyUI (Stable Diffusion GUI) on reComputer
Robotics
Install ROS1 on reComputer
Use RoboSense LiDAR on reComputer
Use Multiple CSI Cameras on reComputer with ROS
Run A-LOAM 3D SLAM on reComputer