Team ELEBG – Electronics Buyer’s Guide
Introducing the NVIDIA® Jetson Nano™ Developer Kit: a compact yet mighty computer designed to handle multiple neural networks simultaneously. Whether you’re working on tasks like image classification, object detection, segmentation, or speech processing, this platform has you covered. What’s more, it’s incredibly energy-efficient, running on as little as 5 watts of power. With its user-friendly interface, the Jetson Nano™ Developer Kit makes complex AI projects more accessible than ever before.
Key specifications:
B01 Jetson Nano CoM Module
128-core Maxwell GPU
Quad-core Arm A57 processor @ 1.43 GHz
System Memory – 4GB 64-bit LPDDR4 @ 25.6 GB/s
Storage – microSD card slot
4x MIPI CSI-2 DPHY 10 lanes in total ( 3x 2-lane + 1x 4-lane)
Video Encode – 4K @ 30 | 4x 1080p @ 30 | 9x 720p @ 30 (H.264/H.265)
Video Decode – 4K @ 60 | 2x 4K @ 30 | 8x 1080p @ 30 | 18x 720p @ 30 (H.264/H.265)
Dimensions – 70 x 45 mm
B01 Carrier Board
260-pin SO-DIMM connector for Jetson Nano module.
Video Output – HDMI 2.0 and eDP 1.4 (video only)
Connectivity – Gigabit Ethernet (RJ45) + 4-pin PoE header
USB – 4x USB 3.0 ports, 1x USB 2.0 Micro-B port for power or device mode
Camera I/F – 2x MIPI CSI-2 DPHY lanes compatible with Raspberry Pi Camera Module V2
Expansion
M.2 Key E socket (PCIe x1, USB 2.0, UART, I2S, and I2C) for wireless networking cards
40-pin expansion header with GPIO, I2C, I2S, SPI, UART signals
8-pin button header with system power, reset and force recovery-related signals
Misc – Power LED, 4-pin fan header
Power Supply – 5V/4A via power barrel or 5V/2A via micro USB port selectable by jumper; optional PoE support
Dimensions – 100 x 80 x 29 mm (with heatsink)
