Nvidia Jetson Nano AI computer announced for developers, researchers and enterprises

Nvidia announced Nvidia Jetson Nano artificial intelligence (AI) computer for developers and researchers. It claims to delivers performance ideal for handling modern AI with less power consumption. Nvidia Jetson Nano comes in two versions: the devkit for developers, makers and researchers and the production-ready module for companies. Jetson Nano joins Nvidia's existing line-up of Jetson. The existing Jetson line-up includes Jetson AGX Xavier and Jetson TX2.

Jetson Nano devkit

Available for $99, Jetson Nano devkit has several applications such as mobile robots and drones, digital assistants, automated appliances, etc. It supports full desktop Linux, popular peripherals and accessories. Nvidia manages Jetson forum for developers.

Specifications of Nvidia Jetson Nano devkit

• USB: 4x USB 3.0, USB 2.0 Micro-B
• Camera: Connector    1x MIPI CSI-2 DPHY lanes
• Connectivity: Gigabit Ethernet, M.2 Key E
• Storage: microSD (not included)
• Display: HDMI 2.0 and eDP 1.4
• Others: GPIO, I2C, I2S, SPI, UART

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Jetson Nano Module

For $129, Jetson Nano Module has more enterprise applications such as network video recorders, home robots and intelligent gateways with full analytics capabilities. Its design comes with power management, clocking, memory and input/outputs.

Specifications of Nvidia Jetson Nano

• GPU: Nvidia Maxwell architecture with 128 Nvidia Cuda cores
• Processor: ARM Cortex-A57 quad-core MPCore processor
• Memory: 4GB 64-bit LPDDR4
• Storage: 16GB eMMC 5.1 Flash
• Video encode:    4K @ 30 (H.264/H.265)
• Video decode:    4K @ 60 (H.264/H.265)
• Camera: 12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (1.5 Gbps)
• Connectivity: Gigabit Ethernet
• Display: HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous
• UPHY: 1 x1/2/4 PCIE, 1x USB 3.0, 3x USB 2.0
• I/O: 1x SDIO / 2x SPI / 6x I2C / 2x I2S / GPIOs
• Size: 69.6 mm x 45 mm
• Mechanical: 260-pin edge connector

“Jetson Nano makes AI more accessible to everyone — and is supported by the same underlying architecture and software that powers our nation’s supercomputers,” said Deepu Talla, vice president and general manager of Autonomous Machines at NVIDIA. “Bringing AI to the maker movement opens up a whole new world of innovation, inspiring people to create the next big thing.”