NVIDIA Jetson Nano: A Raspberry Pi-Style Dev Kit For AI Researchers And DIY Crowd

Last year NVIDIA launched the Jetson AGX Xavier board which aimed to be the brains behind next-gen AI devices. NVIDIA has now announced the Jetson Nano developer board that it says will enable the development of millions of new and small low-power AI systems. NVIDIA is aiming the Jetson Nano at IoT applications including entry-level Network Video Recorders, home robots, and intelligent gateways that offer full analytics capabilities.

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Jetson Nano is very small at 70 x 45mm; in fact it's the smallest Jetson device that NVIDIA offers. Jetson Nano is a production-ready System on Module (SoM) that can be used across multiple industries. Nano uses a Maxwell GPU with 128 CUDA cores. The CPU on the board is a quad-core ARM Cortex-A57 MPCore processor paired with 4GB of RAM and 16GB of eMMC 5.1 flash storage.

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The board is capable of encoding video in 4K at 30 fps and decoding 4K at 60 fps in H.264/H.265 format. A 12 lane 3x4 or 4x2 MIPI CSI-2 DPHY camera interface supports up to 1.5 Gbps. A gigabit Ethernet port is integrated, and displays can be connected via integrated HDMI 2.0 or DP 1.2 with support for two screens at ones.

Connectivity includes 1 x 1/2/4 PCIe, a single USB 3.0 port, and three USB 2.0 ports. I/O includes a single SDIO, dual SPI, six 12C, and two 12S. The board also has a 260-pin edge connector. NVIDIA will ship the Jetson Nano Module starting in June; it can be pre-ordered now for $129. An NVIDIA Jetson Nano developer kit featuring the Jetpack SDK and a collection of ready-to-use projects is available now from distributors and costs $99.

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