NVIDIA Tegra Architecture

NVIDIA Jetson Nano: A Feature-Packed Arm Developer Kit For $99 USD

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https://www.phoronix.com/scan.php?page=article&item=nvidia-jetson-nano&num=1


JetBot Is NVIDIA's Newest DIY Robot: Open-Source, Ubuntu-Powered, Built Around The Jetson Nano

https://www.phoronix.com/scan.php?page=article&item=nvidia-jetson-jetbot&num=1

 

Miracles happen: Michael has found that there are different modes on TX2! Now he has to find what the fastest mode is and for MT tasks (hint: it's neither Max-Q or Max-P [and there are 3 Max-P modes]). And neither Max-Q or Max-P is the fastest for GPU tests.

The problem is not that he got it wrong several times, the problem is that he denies being wrong and that certainly reinforced my doubts about any benchmark he posts.

Sorry for the rant...

 

Still on 20nm planar?

Oh 5/10W. Nevermind.

 

Is that exposed in the driver he benchmarked?

 

It's in the reviewer guides, if one would bother to read them.

 

On top of what @Nebuchadnezzar wrote, I told Michael the trivial thing to do: https://www.phoronix.com/forums/for...benchmarks-incredible-performance-on-the-edge

And he replied that max performance was used which is simply not true.

 

According to Chrome, my Nexus 9 has hardware acceleration for VP9. It's listed in chrome://gpu. Kepler era SOC with that eh? You need the last Maxwell chips like GM206 to get that on their PC products right?

 

It's funny I don't find vp9 hardware acceleration for VP9 for K1. I just found this : "One thing Tegra K1 won't be able to do is to decompress Google's new low-bandwidth 4K video codec, VP9, in hardware. The codec just wasn't available early enough, Wuebbling said. The new chip will have to use a combination of hardware and software for VP9;"

 

However when I try watching VP9 YouTube videos it seems barely able to play 1080p30 without dropping frames and it gets hot. 1440p drops lots of frames. So yeah seems like it's being done on the CPU.

 

NVIDIA Launches Jetson Xavier NX As 70x45mm 10~15 Watt "AI Supercomputer"
November 6, 2019

https://www.phoronix.com/scan.php?page=news_item&px=NVIDIA-Jetson-Xavier-NX

Edit: Price for Xavier NX is $399.

 

I'm guessing these are very low binned chips, and/or Xavier was clearly designed for 30W operation.
General efficiency (power-per-processing-throughput) is lower for Xavier NX than it is for Xavier AGX.
In the 15W case, a 50% cut in power consumption results in 55% lower CPU throughput, 42% lower GPU throughput, 63% lower memory bandwidth and 35% lower tensor throughput.

 

NX, eh?

 

Found this amusing and interesting. Shopping around for a toaster oven/air fryer and discovered the awesome June oven which has a list of full specifications, including an Nvidia Tegra K1 processor.

 

Surely if you want to cook you'd want the Tegra K1 Denver. It could totally fulfill that "warming drawer" role.

 

Aren't the

I was reading some of the reviews and this doesn't have a self-cleaning feature, though I'm not sure that's the norm. Aren't these appliances usually difficult to clean?

 

Real-Time Object Detection in 10 Lines of Python on Jetson Nano

https://news.developer.nvidia.com/realtime-object-detection-in-10-lines-of-python-on-jetson-nano/