deeeeeplearning

>But in the case of DJI and Huawei and TikTok the US is more concerned about how those chinese companies erode US business like boeing, cisco or Facebook

DJI makes consumer grade products and Boeing is a military contractor? How exactly does DJI impact Boeing's bottom line?

I'm almost positive that if you're talking about AMD GPU's your going to be out of luck. For Deep Learning especially NVIDIA is really the only serious option.

Actually Mindblown. Next thing you know Google is going to release "Google Search, find what you're looking for on the internet!"

>gaining market dominance, both in the ML/GPGPU space

Is this really the case? Last I checked all the major Deep Learning toolsets ran off CUDA/cuDNN and there was nothing comparable for AMD hardware.

First section your Article: "As of 2017, identified uranium reserves recoverable at US$130/kg were 6.14 million tons (compared to 5.72 million tons in 2015). At the rate of consumption in 2017, these reserves are sufficient for slightly over 130 years of supply. The identified reserves as of 2017 recoverable at US$260/kg are 7.99 million tons (compared to 7.64 million tons in 2015).[9]"

Doesn't seem clearcut

>We'll see of this is in any way or form sustainable, especially since uranium is also a finite ressource.

I believe at current consumption rates there is still several hundred years worth of uranium. Presumably Fusion will have been figured out by then or we've killed ourselves with a climate disaster or something worse.

AWS has V100's available so most Universities with a decent budget should be able to swing this.