Yeah finally watched the review. Weird, but also, this is actually a really exciting chip.
If you do any kind of work with ml, this might just about be your only option for breaking 16gb vram, which is the floor for many models. Very few of us ever even get to experiment with something above 40. With these, you could take it to 128, and it seems, at a pretty price competitive standpoint.
I’m looking at it pretty seriously, because I was really excited about these chips, but almost completely disinterested in them as far as a laptop chip. But for a desktop chip? I mean if its at 128gb vram, the fuck else can I ask for?
I’m also super interested in that 2:1. For mobile computing thats pretty much my go-to these days, is a thin and light 2:1 that I just use to get access to where-ever my compute is actually happening.
Maximum allocation of 96GB to VRAM on the 128GB configuration, but your point still stands. This desktop was absolutely designed almost specifically for ML-enthusiasts, and if you wanna run a game on it you can too. Describing it as a “gaming PC” is totally missing the mark.
EDIT: it has been pointed out that the 96GB limit is a Windows limitation, so wouldn’t affect any serious ML-enthusiast
I wouldn’t necessarily say it was designed specifically for ML people though the 128GB spec will definitely draw in that crowd, the 32GB model is $1,099 and competes well in the small but very real “Gaming NUC” space that’s been dominated by Intel/Nvidia laptop gear in tiny desktop cases. Asus took over the NUC line, and the gaming models are priced way above this without the same ML draw of unified RAM.
Oh, interesting! That’s the first I’m hearing of being able to configure more in Linux, seems like anyone taking ML seriously would be using Linux anyway.
I mean apparently you do, considering you don’t know what you are asking. You are asking me to make a preposterously generous interpretation of your question, when you yourself can’t be bothered to even consider what might be a useful application of ml. Give _ me _ a _ break.
Go sort things on an abacus and get away from anything related to computation you Luddite.
Yeah finally watched the review. Weird, but also, this is actually a really exciting chip.
If you do any kind of work with ml, this might just about be your only option for breaking 16gb vram, which is the floor for many models. Very few of us ever even get to experiment with something above 40. With these, you could take it to 128, and it seems, at a pretty price competitive standpoint.
I’m looking at it pretty seriously, because I was really excited about these chips, but almost completely disinterested in them as far as a laptop chip. But for a desktop chip? I mean if its at 128gb vram, the fuck else can I ask for?
I’m also super interested in that 2:1. For mobile computing thats pretty much my go-to these days, is a thin and light 2:1 that I just use to get access to where-ever my compute is actually happening.
Maximum allocation of 96GB to VRAM on the 128GB configuration, but your point still stands. This desktop was absolutely designed almost specifically for ML-enthusiasts, and if you wanna run a game on it you can too. Describing it as a “gaming PC” is totally missing the mark.
EDIT: it has been pointed out that the 96GB limit is a Windows limitation, so wouldn’t affect any serious ML-enthusiast
The 96GB limit is just for Windows. It can be taken higher on Linux.
96GB on Windows, configurable to more on Linux.
I wouldn’t necessarily say it was designed specifically for ML people though the 128GB spec will definitely draw in that crowd, the 32GB model is $1,099 and competes well in the small but very real “Gaming NUC” space that’s been dominated by Intel/Nvidia laptop gear in tiny desktop cases. Asus took over the NUC line, and the gaming models are priced way above this without the same ML draw of unified RAM.
Oh, interesting! That’s the first I’m hearing of being able to configure more in Linux, seems like anyone taking ML seriously would be using Linux anyway.
Thanks for that correction.
96gb of VRAM? Even most ML professionals have never seen that much vram in their life.
Yeah to me this is like SGI marketing their computers as gaming PCs
Im curious what kind of practical application an individual might even have for ML?
That seems like the only legitimate use-case for this device, but also I consider most (not all) ML illegitimate and pointless at the same time.
Myopia is a curable disease. Why should I bother treating someone so intentionally ignorant with the grace of charity?
Im just going to interpret that unwarranted rude response as not having an answer. I did not ask for charity, I asked a question.
Charity is precisely what you are asking for.
Brother I don’t need a Wikipedia link to know what charity is. I’m a native English-speaking adult. That aint it.
I mean apparently you do, considering you don’t know what you are asking. You are asking me to make a preposterously generous interpretation of your question, when you yourself can’t be bothered to even consider what might be a useful application of ml. Give _ me _ a _ break.
Go sort things on an abacus and get away from anything related to computation you Luddite.
Hey fellow autist, this isn’t a good look. Tone it down a bit.
I mean apparently you do, since you don’t know what I’m asking.