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聯絡資訊

Contact Person:
William / 彭海根
Tel: +86-139 2458 2380
mail: williampeng@synnex.com.tw
Jenny / 陳今佩
Tel: +86-139 2461 4712
mail: Jennychen@synnex.com.tw

   
     
 
 
 
 
JETSON NANO DEVELOPER KIT
 
 
 
 
NVIDIA Jetson AGX Xavier module
 
 
 
B.NVIDIA® Jetson Xavier Developer Kit
 
 
FAQ — https://developer.nvidia.com/embedded/jetson-xavier-faq
 

Press Release — https://nvidianews.nvidia.com/news/nvidia-isaac-launches-new-era-of-autonomous-machines

 
Datasheet — https://developer.nvidia.com/embedded/downloads
 
 
 
C.NVIDIA® Jetson TX2i Module for Industrial Environments
 
 
 
 
 
 
 
D.NVIDIA® Jetson TX2
 
http://www.nvidia.cn/object/embedded-systems-dev-kits-modules-cn.html
 
 
 
 
E.NVIDIA® Jetson TX1
 


 http://www.nvidia.cn/object/tegra-x1-processor-cn.html
 
 
 
 
F.NVIDIA Jetson K1 board
 
 

NVIDIA Jetson is the world’s leading embedded computer vision platform, introducing GPU-accelerated parallel processing to the mobile market. Raw performance beyond 325 GFLOPS and a sub-10W power budget make Jetson the leading solution for compute-intensive embedded projects like autonomous robotic systems, Advanced Driver Assistance Systems (ADAS), mobile medical imaging, and Intelligent Video Analytics (IVA).

The NVIDIA Jetson TK1 development kit is a full-featured platform for Tegra K1 embedded applications. It allows you to unleash the power of 192 CUDA cores to develop solutions in computer vision, robotics, medicine, security, and automotive. NVIDIA provides the BSP and software stack which includes the CUDA Toolkit, OpenGL 4.4 drivers, and support for the OpenCV library for Tegra.
Get software downloads and find additional documentation on the  https://developer.nvidia.com/embedded-computing

 
 
 
G.NVIDIA CD575M-A1 Chip
See more at: http://www.nvidia.com/object/tegra-k1-processor.html
 
 
 
NVIDIA DGX 工作站
 
See more at: https://www.nvidia.com/zh-cn/data-center/dgx-systems/
 
 
 
NVIDIA DGX-1
 
See more at: https://www.nvidia.com/zh-cn/data-center/dgx-systems/
 
 
 
NVIDIA DRIVE 系列
 
See more at: https://www.nvidia.com/zh-cn/self-driving-cars/drive-platform/