NVIDIA Jetson Nano - Module with ARM Cortex A57 1.43GHz processor, 4GB RAM, Nvidia Maxwell

Description

NVIDIA module 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 4 GB DDR4 RAM memory, Ethernet, HDMI and 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.

The module is also available in a version with a base plate in the form of a development kit.

Video presentation

Features

• NVIDIA Maxwell ™ GPU with 128 NVIDIA CUDA® cores
• CPU Quad-core processor ARM® Cortex®-A57 MPCore
• 4 GB 64-bit LPDDR4 memory
• Mass storage 16 GB Flash eMMC 5.1 memory
• 1x 4K @ 30 video encoding (HEVC)
• 1x 4K @ 60 video decoding (HEVC)
• Camera 12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (1.5 Gbps)
• Gigabit Ethernet connectivity and connection sockets
• HDMI 2.0 or DP1.2 display | eDP 1.4 DSI (1x2) 2 simultaneously
• UPHY 1 x1 / 2/4 PCIE, 1x USB 3.0, 3x USB 2.0
• Input / output ports 3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs
• 260-pin edge connector
• Dimensions: 69.6 x 45 mm