[sabalaba]

The target market for this is people who don't want to have to manage a Linux machine learning environment. If you want to least expensive access to GPU compute, you should design a workstation, purchase all of the parts yourself on newegg or amazon, personally take the risk of a part failing, and fully support yourself. That is probably the least expensive way to get a computer in 2022.

This is definitely targeted to people who place a premium on their own time and effort.

[999900000999]

Can you explain your point?

I've installed machine learning environments on numerous Linux machines, it's never been too difficult. If you can't figure out how to do that, then you really shouldn't be in this field.

Here's a guide, https://ubuntu.com/blog/ubuntu-nvidia-rapids

Even if you get something that's pre configured eventually you're going to have to update stuff.

This feels targeted at people who can expensive it to a company account and not worry about the price. Their's no logical reason to buy this over the much cheaper, yet equally speced laptop I posted above. Both are made by Razer, they probably have the same exact warranty if things go wrong.

[sabalaba]

https://lambdalabs.com/lambda-stack-deep-learning-software is an even better way to install the full stack if you want to do it all yourself. It's free.

[999900000999]

This is why I love HN.

I'll definitely use this if I ever return to experimenting with machine learning. This definitely proves my point, there's no need to pay such an insane markup when the same exact manufacturer is selling the same item with slightly different branding.

[vimeh]

Sigh, I literally Slack'd Stephen earlier today to not engage on this thread, but now I find myself doing so, too.

> If you can't figure out how to [install machine learning environments], then you really shouldn't be in this field.

Fundamentally, I disagree with you here. I read this as a mentality that excludes unnecessarily. I hope we both can both come to agree that one should not be excluded from computation and computational tools just because they do not know how to install things.

> Both are made by Razer, they probably have the same exact warranty if things go wrong.

That's actually one of the benefits of economies of scale.

[999900000999]

>Fundamentally, I disagree with you here. I read this as a mentality that excludes unnecessarily. I hope we both can both come to agree that one should not be excluded from computation and computational tools just because they do not know how to install things.

Did you see the downstream comment ? Their's literally a single command that will set up a machine learning environment on Ubuntu.

Regardless, if you can't set it up, how are you going to update it? Do you just buy a new $4,000 computer every time you need to update your machine learning environment?

All I see here is Razer fundamentally selling the same laptop, calling one machine learning, and calling the other gaming. I can't understand how installing Ubuntu, and some machine learning tools is worth a $1,500 markup.