The Jetson Nano module is a small AI computer that has the performance and power efficiency needed to run modern AI workloads, multiple neural networks in parallel and process data from several high-resolution sensors simultaneously. This makes it the perfect entry-level option to add advanced AI to embedded products. While talking about Jetson Nano, Quad Core ARM Cortex-A57 which is 1.43 Ghz powerful 64 bit quad core processor Jetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a (1KU+) module. Get started fast with the comprehensive JetPack SDK with accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. NVIDIA® Jetson Nano™ Developer Kit is a small, powerful computer that lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. All in an easy-to-use platform that runs in as little as 5 watts.

Specification:
| Product | reComputer J1020 |
|---|---|
| Module | Nano (production version) |
| AI Perf | 472 GFLOPS |
| GPU | 128-core NVIDIA Maxwell |
| CPU | Quad-core ARM A57 1.43 GHz |
| Memory | 4GB 64-bit LPDDR4 25.6GB/s |
| Storages | 16 GB eMMC |
| Video encoder | 4K30, 2x1080p60, 4x1080p30, 4x720p60, 9x720p30 (H.265 & H.264) |
| Video Decoder | 4K60, 2x 4K30, 4x 1080p60, 8x 1080p30, 9x 720p60 (H.265 & H.264) |
| Gigabyte Ethernet | 1 x RJ45 Gigabit Ethernet Connector (10/100/1000) |
| Ports | 4 x USB 3.0 Type-A ,, 1 x Micro-USB port for device mode,, 2 x CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 ),, 1 x HDMI Type A,, 1 x DP,, 1 x FAN (5V PWM),, 1 x M.2 Key E (Disabled),, 1 x M.2 Key M,, 1 x RTC Socket,, 1 x 40-Pin header |
| Power Supply | DC Jack 12V/2A |
| Mechanical | 130mm x120mm x 50mm (with case) |
| Shipping Weight | 0.75 kg |
| Shipping Dimensions | 13 × 12 × 5 cm |
Features:
- Hand-size edge AI device with an overall dimension of 130mm*120mm*50mm, fits in everywhere.
- Powered by the quad-core ARM® Cortex®-A57 MPCore processor.
- 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 5 TFLOPs (FP16).
- Rich peripherals including Gigabit Ethernet port, 4 USB 3.0 Type-A ports, HDMI port and DP port.
- Pre-installed NVIDIA official JetPack software, ready for cloud native application .
- Able to mount on the wall with mounting holes on the back.
- Support wide range of AI application fast building with our ecosystem partners.
- Support Allxon to enable efficient remote hardware management services.
Package Includes:
1 x Jetson Nano module
1 x Acrylic Cover
1 x Aluminum Frame
1 x Heatsink
1 x Carrier Board
1 x 12V/2A Power Adapter (with 5 interchangeable adapter plugs)
Raspberry PI POE+ Hat for 3B+ and Pi 4
Raspberry Pi Camera Module 3
ODYSSEY – STM32MP157C Raspberry Pi 40-Pin Compatible with SoM
ACEBOTT - QD109 Battle Arena Kit For Battle Car
reComputer J4012-Edge Al Device with Jetson Orin™™ NX 16GB module, 4xUSB 3.2, Μ.2 Key E & Key M Slot, Aluminum case, Pre-installed JetPack System on 128GB NVMe SSD (Without Adapter)
Argon Fan HAT for Raspberry Pi 4, 3B,3 B+, Includes 40mm Fan
1/4 Cmos 640X480 USB Camera with Collapsible Cable for Raspberry Pi
Readytosky 80A ESC 2-6S Brushless ESC Speed Controller for RC Drone
Waveshare CAN bus Module (B) for Raspberry Pi Pico, enabling long range communication through SPI
Pixhawk 2.4.7 Upgraded Flight Controller kit with GPS Module Combo Kit
Waveshare ESP32-S3 Mini Development Board, Based on ESP32-S3FH4R2 Dual-Core Processor, 240MHz Running Frequency, 2.4GHz Wi-Fi & Bluetooth 5
NVIDIA Jetson Nano 4GB Module 











There are no reviews yet.