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Jetson AGX Xavier

nvidia.com

1–10 of 95 posts

Re: Jetson AGX Xavier

#2
They seem to offer a cheaper 8 GB model too but unfortunately I see no price for it. I'm curious how much it'll be because, as much as I'd like to toy around with this, the $699 is a little to much for just experimentation.

EDIT: The 8GB Module seems to be $679 here[1]. This makes the $699 or the 32 GB Developer Kit seem like a steal. Still, too expensive for play, I guess I'll stick with my Jetson Nanos for a while...

[1] https://www.arrow.com/en/products/900-82888-0060-000/nvidia

Re: Jetson AGX Xavier

#3
I'm definitely not expert and probably this is a dumb question , but why smart edge things like smart robot and not dumb edge with smart central brain ? Anyway data are useful aggregated central;ly why not incorporate the brain centrally too?

Re: Jetson AGX Xavier

#4

They seem to offer a cheaper 8 GB model too but unfortunately I see no price for it. I'm curious how much it'll be because, as much as I'd like to toy around with this, the $699 is a little to much for just experimentation. EDIT: The 8GB Module seems to be $679 here[1]. This makes the $699 or the 32 GB Developer Kit seem like a steal. Still, too expensive for play, I guess I'll stick with my Jetson Nanos for a while.…

There is also the Jetson Nanokit which costs ~120 EUR.

Re: Jetson AGX Xavier

#5
post #3

I'm definitely not expert and probably this is a dumb question , but why smart edge things like smart robot and not dumb edge with smart central brain ? Anyway data are useful aggregated central;ly why not incorporate the brain centrally too?

I mean it could be way more powerful like stadia on phone vs using phone gpu , latency is not too high for the described usage .. imo just automotive may require a dedicated brain on the edge, I'm totally wrong ?

Re: Jetson AGX Xavier

#6
post #3

I'm definitely not expert and probably this is a dumb question , but why smart edge things like smart robot and not dumb edge with smart central brain ? Anyway data are useful aggregated central;ly why not incorporate the brain centrally too?

Cloud GPU/TPU resources are still somewhat expensive. Also bandwidth can be an issue when you would first need to feed video through potentially metered connections. Last but not least latency can be an issue for e.g robotics and automotive.

Re: Jetson AGX Xavier

#7
post #3

I'm definitely not expert and probably this is a dumb question , but why smart edge things like smart robot and not dumb edge with smart central brain ? Anyway data are useful aggregated central;ly why not incorporate the brain centrally too?

Not a dumb question at all: data traffic is expensive.

If you have thousands of remote sensors collecting Gbs and GBs of real time data, for ~1000$ you can add a "streaming" supercomputer to your sensor to analyze the data in place and save on network and storage costs.

Notice however that the announcement is for an Nvidia AGX product, which is for autonomous machines. The Nvidia "edge" products for processing data on the sensors are called Nvidia EGX.

For autonomous machines, you often need to analyze the data in the machine anyways, e.g., you don't want a drone falling if it looses network connectivity.

Re: Jetson AGX Xavier

#8
post #3

I'm definitely not expert and probably this is a dumb question , but why smart edge things like smart robot and not dumb edge with smart central brain ? Anyway data are useful aggregated central;ly why not incorporate the brain centrally too?

latency

Re: Jetson AGX Xavier

#9
post #3

I'm definitely not expert and probably this is a dumb question , but why smart edge things like smart robot and not dumb edge with smart central brain ? Anyway data are useful aggregated central;ly why not incorporate the brain centrally too?

For things like industrial robots or UAVs latency is biggest problem.

I've worked on fruit sorting machine and there was about 20ms to make decision if the object passed or not + there was continuous streams of 10000s of objects per second to classify. The computer vision/classifier had to be both fast and reliable about spitting the answers, which was actually more important than precission of classifier itself.

Re: Jetson AGX Xavier

#10
post #5
post #3

I'm definitely not expert and probably this is a dumb question , but why smart edge things like smart robot and not dumb edge with smart central brain ? Anyway data are useful aggregated central;ly why not incorporate the brain centrally too?

I mean it could be way more powerful like stadia on phone vs using phone gpu , latency is not too high for the described usage .. imo just automotive may require a dedicated brain on the edge, I'm totally wrong ?

I work at a startup that uses edge AI. There are many factors that edge is preferred over cloud. Security is one. Latency is important in many cases. If the internet connection is another dependency for a critical system, it can be a big headache. Once you start working on a real-world project you run into these issues. In return you give up monitoring the data and model that can be done with cloud deployment.
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