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Jetson Nano Developer Kit 4GB 16GB eMMC
Jetson Nano Developer Kit 4GB 16GB eMMC
Jetson Nano Developer Kit 4GB 16GB eMMC
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View on seller's websitePrices and availability are updated daily. Please confirm on the seller's website before buying.

Jetson Nano Developer Kit 4GB 16GB eMMC

Development platfome

DZD 77,000

View on seller's websitePrices and availability are updated daily. Please confirm on the seller's website before buying.
Description
1. Product Summary The Jetson Nano B01 is an embedded system-on-module (SoM) developed by NVIDIA, specifically engineered for edge AI, machine learning, and computer vision applications. This enhanced version of the original model delivers superior performance for embedded artificial intelligence solutions. 2. Key Specifications Processor: CPU: Quad-core ARM Cortex-A57 @ 1.43 GHz GPU: NVIDIA Maxwell with 128 CUDA cores Memory: 4GB 64-bit LPDDR4 RAM Storage: 16GB eMMC support microSD slot (for OS) M.2 Key E slot (for NVMe storage or wireless modules) Connectivity: 4× USB 3.0 ports 1× USB 2.0 Micro-B (power/communication) 1× HDMI 2.0 (4K @ 30Hz) 1× DisplayPort 1.2 Gigabit Ethernet MIPI CSI-2 camera connector (2 lanes) Power: 5V/4A via barrel jack Alternative: 5V/2A via Micro-USB (low-power mode) GPIO: 40-pin expansion header (Raspberry Pi compatible) Includes UART, I2C, SPI, PWM interfaces 3. AI Performance Capable of running complex neural networks Supports TensorRT for model optimization Framework compatibility: TensorFlow PyTorch Caffe OpenCV 4. Thermal Management Requires active cooling for sustained workloads Supports 5V fans via 4-pin header 5. Supported OS Linux for Tegra (L4T) Ubuntu-based Docker support NVIDIA JetPack SDK compatible 6. B01 vs Original Model Improved power connector (barrel jack vs Micro-USB) Enhanced port layout Added M.2 Key E support Optimized power efficiency 7. Typical Applications Embedded computer vision AI-powered robots and drones Smart surveillance systems Advanced IoT devices AI application prototyping 8. Physical Specifications Dimensions: 100 mm × 80 mm × 29 mm Weight: ~138 g Operating temperature: 0°C to 40°C 9. Software Ecosystem NVIDIA JetPack SDK CUDA, cuDNN support Full computer vision pipeline Hardware-accelerated libraries 10. Recommended Accessories eMMC module for fast storage Raspberry Pi or NVIDIA cameras High-performance microSD card Quality 5V/4A power supply Protective case with cooling solution This compact AI system delivers exceptional performance-per-watt for deploying edge AI solutions. Its compatibility with popular AI frameworks and extensive connectivity options make it an ideal platform for developing and deploying intelligent embedded applications. The Jetson Nano B01 represents a significant upgrade over the original model, particularly in terms of power delivery and expansion capabilities, while maintaining the same accessible price point for developers and makers.
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