Nvidia Jetson Nano Module

Nvidia gpu soc module compatibility.

Nvidia jetson nano module. This makes it the perfect entry level option to add advanced ai to embedded products. If so in which format. Basically it can be used to assemble an sbc with an extension board to achieve graphic ai applications. Jetson tx2 is the fastest most power efficient embedded ai computing device.

I am working on the thermal design of the product which is using the nano module. The nvidia jetson nano moduledelivers up to 472 gflops of accelerated computing from nvidia cuda cores in an unprecedented size power and cost. Nvidia jetson nano module is an som of jetson nano development kit. Relative humidity 40 c 95 non condensing.

Is anyone aware of any 3rd party chassis here or developing which can house one or more nano modules in a single. 3840 x 2160 at 60hz. Looking to bring an ai enabled product to market. Nvidia jetson nano is a small.

Do you have an existing cfd model of the module. With this powerful ai som developers learners and makers can now run ai frameworks and models for applications like image classification object detection segmentation and speech processing. This 7 5 watt supercomputer on a module brings true ai computing at the edge. Nvidia jetson tx2i module s rugged design small form factor and reduced power envelope make it ideal for high performance edge computing devices such as industrial robots machine vision cameras and portable medical equipment.

Tensorflow pytorch and mxnet. Jetson nano natively supports all types of ai models and popular ai frameworks e g. Approach 2 find buy build some chassis which can interface the nano module itself as part of a multi module chassis. The jetson nano module is a small ai computer that has the performance and power efficiency needed to run modern ai workloads multiple neural networks in parallel and process data from several high resolution sensors simultaneously.

Get started quickly with the comprehensive nvidia jetpack sdk which includes accelerated libraries for deep learning computer vision graphics multimedia and more start prototyping using the jetson nano developer kit and take. Storage temperature 40 c 85 c. Nvidia jetson nano version b01 xavier nx module. Can you provide the jedec thermal package information for the tegra and.

It s built around an nvidia pascal family gpu and loaded with 8gb of memory and 59 7gb s of memory bandwidth. Could you supply the following. We are operating with very little thermal margin and need further detail than is provided in the jetson thermal design guide. The jetson nano is a small powerful computer designed to power entry level edge ai applications and devices.