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NVIDIA development kit with the ARM Cortex A57 1.43GHz CPU chip and the Maxwell graphics system consisting of 128 cores supporting CUDA technology. The module has a DDR4 2 GB RAM memory 945-13541-0000-000
NVIDIA Development Kit with ARM Cortex A57 CPU running at 1.43 GHz and the Maxwell graphics system consisting of 128 cores supporting CUDA technology. The system is supported by 2 GB DDR4 RAM memory, Ethernet, HDMI and two MIPI-CSI interface. The package is designed especially for graphic design and processing of very large amounts of data. It allows you to familiarize yourself with the programming technique of GPUs.
The Jetson Nano module is the smallest device on the Jetson platform. It provides performance for running modern AI loads in a small, energy-saving format. Provides 472 GFLOPs of computing power for fast work with modern SI algorithms. It can run multiple neural networks in parallel and simultaneously process data from multiple high-resolution sensors, making it the perfect solution for basic network video recorders (NVRs), home robots and intelligent gateways with full analytical capabilities.
Nvidia makes available on your site ( https://courses.nvidia.com/courses/course-v1:DLI+C-RX-02+V1/about ) a free course of artificial intelligence based on NVIDIA Jetson Nano.
Video presentation

| 1. microSD card slot for main storage | 6. USB 3.0 port (x1) |
| 2. 40-pin expansion header | 7. HDMI output port |
| 3. Micro-USB port for Device Mode | 8. USB-C for 5V power input |
| 4. Gigabit Ethernet port | 9. MIPI CSI-2 camera connector |
| 5. USB 2.0 ports (x2) |
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Gold-plated HDMI (M) - HDMI (M) cable with 3m length, RoHS
High quality 8 megapixel Sony IMX219 image sensor custom designed add-on board for Raspberry Pi, featuring a fixed focus lens. It\'s capable of 3280 x 2464 pixel static images, and also supports 1080p30, 720p60, and 640x480p90 video
The popular micro SDHC format, used in smartphones, tablets and cameras. Class 10 product with a UHS-I interface from Goodram. Reading speed: up to 60 MB / s, write: up to 15 MB / s
64GB GOODRAM microSDHC memory card, class 10 (UHS-I). SD adapter included
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Raspberry Pi 2 and Pi 1 model B+ Enclosure - White
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NVIDIA development kit with the ARM Cortex A57 1.43GHz CPU chip and the Maxwell graphics system consisting of 128 cores supporting CUDA technology. The module has a DDR4 2 GB RAM memory 945-13541-0000-000