reComputer J1010 Edge AI Computer – NVIDIA Jetson Nano 4GB
Prices updated: 12 Oct 2026
Compare prices
| Store | product | Price | View in store |
|---|---|---|---|
 MicroohmCheapest | reComputer J1010 NVIDIA Jetson Nano 4GB Edge AI Computer – 128 CUDA Cores, 16GB eMMC | 22,000 EGP25,000 | View in store |
 RAM Electronics | reComputer J1010 -Edge AI Computer with NVIDIA® Jetson Nano 4GB | 22,500 EGP | View in store |
Price history
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Lowest price recorded: 22,000 EGP
About this product
The reComputer J1010 is a compact edge AI computer from Seeed Studio built on the NVIDIA Jetson Nano 4GB module. It provides 128 CUDA cores, 16 GB eMMC storage, Gigabit Ethernet, HDMI, dual CSI camera interfaces, an M.2 Key E slot and a 40-pin GPIO header. It is aimed at computer vision, machine learning inference and robotics projects that need GPU acceleration at the edge.
Specifications
- GPU cores
- 128 CUDA cores
- AI performance
- 0.5 TFLOPs FP16
- Memory
- 4 GB
- Storage
- 16 GB eMMC
- Networking
- Gigabit Ethernet
- Video output
- HDMI
- Camera interfaces
- Dual CSI
- Expansion
- M.2 Key E, 40-pin GPIO
Frequently asked questions
What is the price of reComputer J1010 Edge AI Computer – NVIDIA Jetson Nano 4GB in Egypt?
reComputer J1010 Edge AI Computer – NVIDIA Jetson Nano 4GB currently costs between 22,000 and 22,500 EGP across 2 offers in Egypt.
Where can I buy reComputer J1010 Edge AI Computer – NVIDIA Jetson Nano 4GB in Egypt?
reComputer J1010 Edge AI Computer – NVIDIA Jetson Nano 4GB is available from Microohm and RAM Electronics. Compare the offers above to find the best price.
What software does the J1010 run?
It runs NVIDIA's Jetson Linux software stack (JetPack), the same platform used with other Jetson Nano modules. Check the Seeed Studio documentation for the exact image version supported by the J1010.
Can I connect a camera to the J1010?
Yes. It has dual CSI camera interfaces for connecting compatible CSI camera modules, which suits vision and machine learning projects. Make sure the camera module is compatible with the Jetson platform before connecting it.
