Launched in March 2019, NVIDIA Jetson Nano developer kit offered an AI development platform for an affordable $99. The kit is comprised of Jetson Nano module and a carrier board, and the version I received last November ended with “A02”.
Jetson Nano developer kit is now getting updated with B01 carrier board that adds an extra MIPI CSI connector and other few changes, including compatibility with NVIDIA Jetson Nano production module (with eMMC flash instead of MicroSD card).
Jetson Nano developer kit-B01 specifications:
- B01 Jetson Nano CPU 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
- 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 Baseboard
- 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
- 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)
Other changes include the removal of the “button” and serial headers, and the power select header (J48) has been moved to the edge of the board. The new baseboard is also said to be compatible with the upcoming Jetson Xavier NX module, but according to a forum thread using an A02 module with a B01 carrier board will not work.
NVIDIA also released Jetpack 4.3 with the latest TensorRT 6.0.1 and cuDNN 7.6.3 libraries which are claimed to improve AI inference performance by 25%, and includes a developer preview of VPI (Vision Programming Interface) including CPU+GPU accelerated computer vision/image processing algorithms.
Jean-Luc started CNX Software in 2010 as a part-time endeavor, before quitting his job as a software engineering manager, and starting to write daily news, and reviews full time later in 2011.
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