Jetson SUB Mini PC V2 - Blue with Jetson Xavier NX module, Aluminum case with cooling fan, 128GB SSD, WiFi, Antennas and pre-installed JetPack System
Seeed Studio
Overview
Jetson SUB Mini PC V2 - Blue is an edge AI computer from Seeed Studio built on the NVIDIA Jetson Xavier NX module, rated by Seeed at 21 TOPS. Its GPU is 384-core NVIDIA Volta GPU. It carries 8 GB 128-bit LPDDR4x 59.7GB/s. Seeed publishes a fixed price for this configuration.
Key Features
- Jetson Xavier NX module rated at 21 TOPS
- GPU: 384-core NVIDIA Volta GPU
- CPU: 6-core 64-bit CPU, NVIDIA Carmel ARMv8.2
- Memory: 8 GB 128-bit LPDDR4x 59.7GB/s
- Networking: 1* Gigabit Ethernet
Ideal For
teams deploying Jetson Xavier NX-class inference at the edge in a finished, cased unit
Module
NVIDIA JETSON XAVIER NX
AI Performance
21 TOPs(INT8)
OS
JetPack 5.0.2
CPU
6-core 64-bit CPU, NVIDIA Carmel ARMv8.2
GPU
384-core NVIDIA Volta GPU
Memory
8 GB 128-bit LPDDR4x 59.7GB/s
Module Storage
16 GB eMMC 5.1
Carrier Board Storage
128GB M.2 NVMe SSD
Wifi
Pre-installed M.2 key E WiFi
Power
12V/5A DC
Display
1* HDMI / 1* DP
USB
4* USB3.1(USB 2.0 Integrated)
1*USB Type-C
1*Micro USB
Network
1* Gigabit Ethernet
Dimension
130mm x120mm x 50mm
Jetson Xavier NX module
1
reComputer J202 Carrier board
1
Acrylic Cover
1
Aluminium Frame
1
Heatsink with fan
1
12V/5A(Barrel Jack 5.5/2.5mm) Power Adapter (Power cable not included)
1
Antennas
1
Fast AI Performance for production
on-device processing with up to 21 TOPS AI performance with low power and low latency.
Hand-size edge AI device
compact size at 130mm x120mm x 50mm, includes Jetson Xavier NX production module, a heatsink with a cooling fan, enclosure, and a power adapter.
Expandable with rich I/Os
USB 3.1 ports(4x), Gigabit Ethernet ,M.2 key E for WIFI/ Bluetooth, M.2 Key M for SSD, RTC, CAN, Raspberry Pi GPIO 40-pin and more
Accelerate solution to market
pre-installed JetPack 5.0.2, Linux OS BSP, support Jetson software and leading AI frameworks and software platforms
Feature
NVIDIA DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.
Feature
NVIDIA TAO tool kit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training
alwaysAI
build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100+ pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our wiki guide to get started with alwaysAI.
Edge Impulse
the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.
Feature
Roboflow provides tools to convert raw images into a custom-trained computer vision model of object detection and classification and deploy the model for use in applications. See the full documentation for deploying to NVIDIA Jetson with Roboflow.
YOLOv5 by Ultralytics
use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step wiki tutorials
Deci
optimize your models on NVIDIA Jetson Nano. Check the webinar at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices
Feature
NVIDIA® Riva is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.
Feature
NVIDIA Isaac ROS GEMs are hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. Learn more about NVIDIA Developer Tools
Feature
Cogniteam Nimbus is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box. Check out our webinar on connecting your ROS Project to the Cloud with Nimbus.
Prices may vary. Verify on vendor site.
Quick Specs
- Module
- NVIDIA JETSON XAVIER NX
- AI Performance
- 21 TOPs(INT8)
- OS
- JetPack 5.0.2
- CPU
- 6-core 64-bit CPU, NVIDIA Carmel ARMv8.2
- GPU
- 384-core NVIDIA Volta GPU
- Memory
- 8 GB 128-bit LPDDR4x 59.7GB/s