They’re apparently working on it. Tuxedo already got a prototype and Qualcomm has been apparently contributing code to the mainline Linux kernel to guarantee support
So the way MS is using it is incredibly dumb, but hardware wise, it’s just a NN-optimized tile on the CPU. That is going to be a great thing for democratizing access to serious machine learning hardware. In that respect, it’s actually pretty awesome, despite the fact that It’s annoying that the initiative is tied so closely to MS.
Literally what I was wondering, lol. My first thought was “how well does it run Debian?”
Well, actually, what if I want AI “crap” capability with my Linux ARM laptop?
The TFLOPS on those systems are no joke. Consider that it’s 1/2 the performance of an RTX 2060 in a slim laptop form factor.
Don’t confuse TFLOPs and TOPs. Especially when the latter is 4-bit integer operations.
They’re apparently working on it. Tuxedo already got a prototype and Qualcomm has been apparently contributing code to the mainline Linux kernel to guarantee support
Good to know! Will keep an eye out for sure.
So the way MS is using it is incredibly dumb, but hardware wise, it’s just a NN-optimized tile on the CPU. That is going to be a great thing for democratizing access to serious machine learning hardware. In that respect, it’s actually pretty awesome, despite the fact that It’s annoying that the initiative is tied so closely to MS.