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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
Xilinx Kintex®-7 XC7K325T-1FFG676 FPGA. 6015-410-001-KIT
No product available!
No product available!
No product available!
No product available!
A/C and C/A converter module for Raspberry Pi3, Raspberry Pi2, Raspberry Pi+ and Raspberry Pi minicomputers (MCP3021, MCP4716).
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Camera with a USB interface with a resolution of 8 MP. Equipped with a Sony CMOS IMX179 sensor and a wide-angle lens with a viewing angle of 105°. ArduCAM UB0229
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Power cord with a length of 50 cm with a male XT60 plug and a DC Jack 5.5 x 2.5 mm plug. It allows you to connect a battery with an XT60 socket to a device with a DC socket
No product available!
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Black microHDMI-HDMI cable with a length of 1 meter. Compliant with HDMI v1.4 specification. Lanberg CA-HDMI-12CC-0018-BK
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No product available!
SUNON DC Axial Fan is a high-quality device that combines quiet operation, low power consumption and efficiency, ideal for use in advanced electronic and mechanical systems. Sunon HA40101V4-A99-A
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Universal card with 16 relays - set for self-assembly
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Book "Programming AVR microcontrollers in Bascom language" + set ZL2AVR + ZL2PRG programmer
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The functional/arbitrary generator allows you to generate sinusoidal, square and ramp signals or add noise to the signal. It provides modulations such as AM, PM, FM, ASK, FSK. Equipped with a transparent 4.3" LCD display and USB interface. Uni-T UTG1010A
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Base board for the SpaceSOM-8Mplus family of modules. Creates a complete development platform similar to the SBC. SoMLabs SpaceCB-8Mplus-ADV v.1.1
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Alkaline battery A27 12V 7.6x27.3 mm with a capacity of 25 mAh
No product available!
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