Note: With the Official NVIDIA Jetson Series of Dev Kit shortage, these reComputer Jetson Nano 4G Dev kits are the best alternatives for the AI platform.
Note: This page has two reComputer Jetson 4GB Dev Kit options. Please choose the preferred Dev Kit:
The reComputer Jetson Nano 4G Dev kits are the result of advanced engineering from SeeedStudio that integrates the production version of NVidia Jetson Nano (B01) System on Module (SoM) and a carrier board. The Jetson 4G Dev kits are hand-size edge AI box ready with a rich set of IOs, aluminum case, passive heatsink, and pre-installed JetPack System, ready for your next AI application development and deployment.
reComputer Jetson series are compact edge computers built with NVIDIA advanced AI embedded systems. 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 in diverse AI scenarios.
reComputer Jetson is compatible with the entire NVIDIA Jetson software stack, cloud-native workflows, and industry-leading AI frameworks, helping deliver seamless AI integration.
NVIDIA Jetson Nano B01 Dev Kit vs reComputer Jetson Nano 4GB Advanced vs reComputer Jetson Nano 4GB
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:
- Edge AI into the Wild: UAV, Drone, Wildlife protection,
- Agriculture
- Smart City: Traffic, Retail, Healthcare
- Industry 4.0: Manufacturing, Logistics, Delivery, Service s
Power-efficient AI computer, compact rich I/Os for endless AI possibilities:
reComputer Jetson Nano comes with Jetson Nano System on Module (SOM) that delivers 0.5 TFLOPs (FP16), making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of 128 NVIDIA CUDA® Cores, and Quad-Core ARM CPUs. Combined with over 25.6GB/s of memory bandwidth, video encoded and decoded, these features make Jetson Nano the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.
Now, you can innovate at the edge with powerful and efficient AI, computer vision, and high-performance computing at just 5 to 10 watts.
Powerful reference carrier board :
Seeed reference carrier boards for reComputer Jetsons are high-performance, interface-rich NVIDIA Jetson Nano compatible carrier boards, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, M.2 keys, CSI camera, GPIO, I2C, I2S, PWM fan, 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.
reComputer Jetson Nano 4G Advanced Dev Kit Carrier Board (J1020)
reComputer Jetson Nano 4G Dev Kit Carrier Board (J1010)
Note: From September 2022 onwards, he carrier board for reComputerJetson Nano Kit is upgraded with a micro SD card slot onboard.
You may refer here on how to enable the micro SD card.
Comes with Aluminum Enclosure ready for Desktop, Wall Mount, or fit in anywhere
Both models of Advanced 4GB (J1020) and 4GB (J1010) Jetson Nano dev kit come in an aluminum enclosure. 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 allow you to hang the product as you need.
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. This dev kit brings 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 the Jetson platform. Jetpack also brings support for NVIDIA Triton™ Inference Server to simplify the deployment of AI models at scale.
NVIDIA Jetson Powered Edge AI platform
You will find everything you want to work with NVIDIA Jetson Platform here.
Deploying an AI idea can be faster, flexible, and even scalable for everyone. The Jetson Platform targets on helping educators, developers and enterprises deploy ML in the real world. By consolidating best-in-class hardware, and cutting-edge technology from many software partners and all developers from the community, it aims to emerge all kinds of AI scenarios into the open-source platforms to faster industries' digital transformation.
Check out the reComputer J1020 review by Jim from JetsonHacks here:
NVIDIA Jetson NANO System on Module (SoM) Technical Specifications:
- GPU: NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores
- AI Performance: 0.5 TFLOPs (FP16)
- CPU: Quad-core ARM A57 @ 1.43 GHz
- Memory: 4 GB 64-bit LPDDR4 1600MHz - 25.6 GB/s
- Storage: 16 GB eMMC 5.1 Flash
- Video encoder: 250 MP/sec
- 1x 4K @ 30 (HEVC)
- 2x 1080p @ 60 (HEVC)
- 4x 1080p @ 30 (HEVC)
- Video decoder: 500 MP/sec
- 1x 4K @ 60 (HEVC)
- 2x 4K @ 30 (HEVC)
- 4x 1080p @ 60 (HEVC)
- 8x 1080p @ 30 (HEVC)
- Connectivity: 10/100/1000 BASE-T Ethernet
- Camera connector: 12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (18 Gbps)
- Display:
- HDMI 2.0 or DP1.2
- eDP 1.4
- DSI (1 x2) 2 simultaneous
- UPHY:
- 1 x 1/2/4 PCIE
- 1 x USB 3.0
- 3 x USB 2.0
- I/O:
- 1 x SDIO
- 2 x SPI
- 4 x I2C
- 2 x I2S
- GPIOs -> I2C, I2S
- Mechanical: 260-pin edge connector
- Size: 69.6 mm x 45 mm
Carrier Board Technical Specifications:
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Warranty Period: 12 months
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