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NVIDIA Jetson Nano Module B LPDDR4 16GB eMMC Artiticial Intelligence Deep Learning AI Computing,Support PyTorch, TensorFlow

NVIDIA Jetson Nano Module B LPDDR4 16GB eMMC Artiticial Intelligence Deep Learning AI Computing,Support PyTorch, TensorFlow
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Brand Name: NVIDIA Demo Board Type: NVIDIA Jetson Nano Module B LPDDR4 16GB eMMC Artiticial Intelligence Deep Learning AI Computing,Support PyTorch, TensorFlow

 

Bndle1 Core Board

Bndle2:Carrier Board

Bndle3: Core Board + Carrier Board

 

 

All the information of the products can be searched by the following documents code at this link: 

https://youyeetoo.com/blog/jetson-nano-module-b-with-16g-emmc-nv0031-nv0030-b0035.html

Documents code: NV0031 / NV0030

 

 

 


 Introduction  

 

Bringing AI to millions of new systems at the edge The NVIDIA® Jetson Nano™ module is opening amazing new 

possibilities for edge computing. It delivers up to 472 GFLOPS of accelerated computing, can run many modern neural networks in parallel, and delivers the performance to process data from multiple high-resolution sensors—a requirement for full AI systems. It’s also productionready and supports all popular AI frameworks. This makes Jetson Nano the ideal platform for developing mass market AI products such as AIoT gateways, smart network video recorders and cameras, consumer robots, and optical inspection systems.

 

The system-on-module is powered by the NVIDIA Maxwell™ GPU with 4 GB of memory, which allows real-time processing of high-resolution inputs. It offers a unique combination of performance, power advantage, and a rich set of IOs, from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. Plus, it supports multiple diverse sets of sensors to enable a variety of applications with incredible power efficiency, consuming as little as 5 W.

 

Jetson Nano is 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 comprehensive software stack makes AI deployment on autonomous machines fast,reduces complexity, and speeds time to market.

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.

 

 

 

 

 

 

 

 

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1.Refund or resend new for any orders due to the product quality problem. ​2.We accept any unused item in its original package as return within 7 days of delivery. Buyers must provide the tracking number, specific reason forthe return. ​3. if it's buyer' s reason lead to the return package, buyers need to pay for round shipping fare. ​4. We will refund to buyer after we receive the returns in its original condition package. Or buyers could choose to have a replacement.

 

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