reComputer Jetson Nano edge AI J1010, 4GB, pre-installed JetPack System
reComputer Jetson Nano edge AI J1010, 4GB, pre-installed JetPack System
reComputer Jetson Nano is a hand-size edge AI box built with Jetson Nano module, rich set of IOs, aluminium case, passive heatsink, pre-installed JetPack System, ready for your next AI application development and deployment.
Features:
- Hand-size edge AI device with an overall dimension of 130mm*120mm*50 mm, fits in everywhere.
- Powered by the quad-core ARM® Cortex®-A57 MPCore processor.
- 128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 0.5 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.
reComputer Jetson series are compact edge computers built with NVIDIA advanced AI embedded systems: Jetson-10 (Nano) and Jetson-20 (Xavier NX). With rich extension modules, industrial peripherals, and thermal management combined with decades of Seeed’s hardware expertise, reComputer Jetson is ready to help you accelerate and scale the next-gen AI product emerging diverse AI scenarios.
reComputer Jetson is compatible with the entire NVIDIA Jetson software stack, cloud-native workflows, industry-leading AI frameworks, helping deliver seamless AI integration.
Application: For next-gen autonomous machine
With edge AI developers can deploy machine learning models in solving demanding challenges for advanced robotics and autonomous machines in the fields:
EdgeAI into the Wild: UAV, Drone, Wildlife protection, Agriculture
Smart City: Traffic, Retail, Healthcare
Industry 4.0: Manufacturing, Logistics, Delivery, Services
Desktop, VESA Wall Mount, or fit in anywhere
With an overall dimension of 130mm*120mm*50mm, it is only around 1/10 of the size of an ordinary computer case which makes it possible to fit in edge AI scenarios. The back screw holes(VESA) allow you to hang the product as you need. We also provide other editions case like blue, silver and silver mental, whose stackable structure allows you to stack more middle layers to create rooms very easily.
Prebuild system for edge AI integration
All NVIDIA® Jetson™ modules and developer kits are supported by the same software stack, enabling you to develop once and deploy everywhere. Jetson Software is designed to provide end-to-end acceleration for AI applications and accelerate your time to market. We bring the same powerful NVIDIA technologies that power data center and cloud deployments to the edge.
NVIDIA JetPack includes NVIDIA Container Runtime with Docker integration, enabling GPU accelerated containerized applications on Jetson platform. Jetpack also brings support for NVIDIA Triton™ Inference Server to simplify the deployment of AI models at scale.
Work with Seeed Ecosystem
Deploying an AI idea can be faster, flexible, even scalable for everyone. Seeed Jetson Platform targets on helping educators, developers and enterprises deploy ML in the real-world. By consolidating Seeed’s best-in-class hardware, cutting-edge technology from our software partners and all developers from the community, we aim at emerging all kinds of AI scenarios in our open-source platform to faster industries digital transformation. We are looking for partners to join our ecosystem together to deliver solutions to different industries together. Please contact cooperation@seeed.cc for more partnership ecosystem information.
Specifications
Module Technical Specifications
GPU |
NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores 0.5 TFLOPs (FP16) |
CPU |
Quad-core ARM® Cortex®-A57 MPCore processor |
Memory |
4 GB 64-bit LPDDR4 1600MHz - 25.6 GB/s |
Storage |
16 GB eMMC 5.1 Flash |
Video Encode |
250 MP/sec 1x 4K @ 30 (HEVC) 2x 1080p @ 60 (HEVC) 4x 1080p @ 30 (HEVC) |
Video Decode |
500 MP/sec 1x 4K @ 60 (HEVC) 2x 4K @ 30 (HEVC) 4x 1080p @ 60 (HEVC) 8x 1080p @ 30 (HEVC) |
Camera |
12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (18 Gbps) |
Connectivity |
M.2 Key M |
10/100/1000 BASE-T Ethernet |
|
Display |
HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous |
UPHY |
1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0 |
I/O |
1x SDIO / 2x SPI / 4x I2C / 2x I2S / GPIOs -> I2C, I2S |
Size |
69.6 mm x 45 mm |
Mechanical |
260-pin edge connector |
Interface-rich reference carrier board:
Nearly the same functional design as Jetson Nano 2GB Developer Kit
Seeed reference carrier board for Jetson Nano edge AI is a high-performance, interface rich NVIDIA Jetson Nano compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, CSI camera, GPIO, I2C, I2S, fans, and other rich peripheral interfaces. It has nearly the same functional design and size as the carrier board of Nvidia Jetson Nano Developer Kit | NVIDIA Developer. Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.