

zł2,868.73 tax excl.
NVIDIA module with the NVIDIA Carmel ARMv8.2 CPU and NVIDIA Volta graphics consisting of 384 cores supporting CUDA technology and 48 Tensor cores. The system is supported by DDR4 RAM with a capacity of 8 GB, DisplayPort interface, HDMI, USB 3.1, PCIe and MIPI-CSI cameras 900-83668-0000-000.
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NVIDIA module with the NVIDIA Carmel ARMv8.2 CPU and NVIDIA Volta graphics consisting of 384 cores supporting CUDA technology and 48 Tensor cores. The system is supported by DDR4 RAM with a capacity of 8 GB, DisplayPort interface, HDMI, USB 3.1, PCIe and MIPI-CSI cameras. All interfaces have been led out to a 260-pin edge connector.
The package offers performance in the field of accelerated calculations of up to 21 TOPS, thanks to which it can simultaneously run modern neural networks and process data from many high resolution sensors. 384 NVIDIA CUDA cores, 48 Tensor cores, 6 Carmel ARM CPU cores and two NVDLA engines (NVIDIA deep learning accelerators) combined with over 51 GB/s memory bandwidth, video encoding and decoding make Jetson Xavier NX the first choice platform for embedded and edge systems.
Jetson Xavier NX supports many power consumption modes, including low power modes for battery powered systems. However, this does not cause a significant decrease in performance, so it can still be used to support sensors and peripherals, while allowing the use of the entire stack of NVIDIA software. In the default mode, the device consumes 10 W, in the mode of increased power consumption 15 W.
Attention!
A dedicated base board with the necessary connectors has been prepared for the module. It can be purchased in a set with the module.Jetson Xavier NX is the perfect solution for high-performance AI systems, such as commercial robots, medical devices, intelligent cameras, high resolution sensors, automated optical inspection systems and other embedded AIoT systems.
The manufacturer offers extensive support in the form of numerous examples and documentation. More information can be found, among others on the product Wiki page.
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