Product details
reComputer J1010 Edge AI Computer with NVIDIA Jetson Nano 4GB
The reComputer J1010 Edge AI Computer from Seeed Studio is a compact and powerful solution designed for edge AI applications.
Built around the NVIDIA Jetson Nano 4GB Module, it delivers 0.5 TFLOPs of AI computing power, enabling efficient machine learning and inference tasks in a small form factor.
The device comes pre-installed with Jetpack 4.6.1, making it easy to get started with development.
It offers a wide range of connectivity options, including USB 3.0, USB 2.0, HDMI, M.2 Key E, and dual SCI ports, along with onboard 16 GB eMMC storage for fast data access.
Housed in a durable aluminum case with a passive heatsink, the reComputer J1010 operates silently, making it ideal for industrial and commercial edge AI deployments.
Small board, big brain - meet your AI sidekick
Features:
• Powered by NVIDIA Jetson Nano 4GB Module
• 0.5 TFLOPs AI computing performance
• Pre-installed Jetpack 4.6.1
• 16 GB onboard eMMC storage
• USB 3.0 and USB 2.0 ports
• HDMI output for display
• M.2 Key E for expansion
• 2x SCI serial interfaces
• Durable aluminum case with passive heatsinks
• Compact, hand-sized design for edge deployment
Hardware Overview:
reComputer J101 Carrier Board, Contained in the Entire System - reComputer J1010
Desktop, Wall Mount, Expandable, or Fit in Anywhere
Applications:
• Computer Vision
• Machine Learning
• Autonomous Mobile Robot (AMR)
Beginner’s Edge AI Guide (Simple 5-Step Setup)
•
Unbox & Connect – Plug in power, monitor, keyboard, mouse, and network.
•
Insert microSD Card – Flash the Jetson Nano OS and slide it in.
•
Boot & Configure – Set up your username, Wi-Fi, and basic preferences.
•
Install JetPack – Get CUDA, cuDNN, TensorRT, and AI libraries ready.
•
Run Your First AI Model – Try object detection or face recognition using sample Python scripts.
Nano vs Orin Nano
Related Searches
Jetson Nano Accessories
The reComputer J1010 Edge AI Computer from Seeed Studio is a compact and powerful solution designed for edge AI applications.
Built around the NVIDIA Jetson Nano 4GB Module, it delivers 0.5 TFLOPs of AI computing power, enabling efficient machine learning and inference tasks in a small form factor.
The device comes pre-installed with Jetpack 4.6.1, making it easy to get started with development.
It offers a wide range of connectivity options, including USB 3.0, USB 2.0, HDMI, M.2 Key E, and dual SCI ports, along with onboard 16 GB eMMC storage for fast data access.
Housed in a durable aluminum case with a passive heatsink, the reComputer J1010 operates silently, making it ideal for industrial and commercial edge AI deployments.
Small board, big brain - meet your AI sidekick
Features:
• Powered by NVIDIA Jetson Nano 4GB Module
• 0.5 TFLOPs AI computing performance
• Pre-installed Jetpack 4.6.1
• 16 GB onboard eMMC storage
• USB 3.0 and USB 2.0 ports
• HDMI output for display
• M.2 Key E for expansion
• 2x SCI serial interfaces
• Durable aluminum case with passive heatsinks
• Compact, hand-sized design for edge deployment
Hardware Overview:
reComputer J101 Carrier Board, Contained in the Entire System - reComputer J1010
Desktop, Wall Mount, Expandable, or Fit in Anywhere
Applications:
• Computer Vision
• Machine Learning
• Autonomous Mobile Robot (AMR)
Beginner’s Edge AI Guide (Simple 5-Step Setup)
•
Unbox & Connect – Plug in power, monitor, keyboard, mouse, and network.
•
Insert microSD Card – Flash the Jetson Nano OS and slide it in.
•
Boot & Configure – Set up your username, Wi-Fi, and basic preferences.
•
Install JetPack – Get CUDA, cuDNN, TensorRT, and AI libraries ready.
•
Run Your First AI Model – Try object detection or face recognition using sample Python scripts.
Nano vs Orin Nano
Related Searches
Jetson Nano Accessories
