NVIDIA JETSON NANO 開發套件V3 64bit (風扇、外殼、電源、SD卡另購)
NVIDIA Jetson Nano Development Kit-B01 (新款)
Jetson Nano developer kit-B01 specifications:
- B01 Jetson Nano CPU Module／核心板規格
- 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／底板規格
- 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)
支持2路CSI攝像頭
新版的CSI接口由原來的1路升級成2路，不再局限於1路攝像頭，輕鬆玩轉雙目視覺
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.
The NVIDIA® Jetson Nano™ Developer Kit delivers the compute performance to run modern AI workloads at an unprecedented size, power, and cost. Developers, learners, and makers can now run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.
The developer kit can be powered by micro-USB and comes with extensive I/Os, ranging from GPIO to CSI. This makes it simple for developers to connect a diverse set of new sensors to enable a variety of AI applications. It’s incredibly power-efficient, consuming as little as 5 watts.
Jetson Nano is also supported by NVIDIA JetPack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA®, cuDNN, and TensorRT™ software libraries for deep learning, computer vision, GPU computing, multimedia processing, and much more. The software is even available using an easy-to-flash SD card image, making it fast and easy to get started.
The same JetPack SDK is used across the entire NVIDIA Jetson™ family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software. This proven software stack reduces complexity and overall effort for developers.
- Micro SD卡卡槽：可接入16GB以上的TF卡，燒寫系統鏡像
- 40PIN GPIO擴展接口
- Micro USB接口：可用於5V電源輸入或者USB數據傳輸
- 千兆以太網端口：10/100/1000Base-T自適應以太網端口
- 4路USB 3.0接口
- HDMI高清接口
- DisplayPort接口
- DC電源接口：用於5V電源輸入
- 2路MIPI CSI攝像頭接口
| 選購商品 |  | | | |
