4 ms·

Why in God's name is it 500$ ? OEM windows licenses are basically free. Even if you brought it individually it's only 200$. https://www.microsoft.com/en-us/d/

Why in God's name is it 500$ ? OEM windows licenses are basically free. Even if you brought it individually it's only 200$. https://www.microsoft.com/en-us/d/windows-10-pro/df77x4d43rkt?activetab=pivot:overviewtab https://www.microsoft.com/en-us/d/windows-10-pro/df77x4d43rk... Definitely leaves a bad taste in my mouth. Looks like you'd save a solid 1500 by just buying a 3080 Razer laptop and setting it up yourself. https://www.bestbuy.com/site/razer-blade-15-advanced-15-6-gaming-laptop-fhd-360hz-intel-core-i7-nvidia-geforce-rtx-3080-32gb-ram-1tb-ssd-black/6467821.p?skuId=6467821 https://www.bestbuy.com/site/razer-blade-15-advanced-15-6-ga...

deleted 5y ago
[deleted]
rfd4sgmk8u 5y ago
Negative incentive to discourage windows use, reducing cost for the vendor who now does not have to support proprietary drivers. Many vendors have realized that standard components lead to almost complete support in desktop Linuxes today. Upstream chip vendors providing drivers to the open source kernel, bypassing the need to get Microsofts blessing for selling product to your customer. I want a world where you have to pay 500 to keep using that awful proprietary spyware malwared os. Join us in free and open source Linux land. You have less and less reasons to pay microsoft tithes every year.
- 999900000999 5y ago
  Your still losing money buying this vs getting the above laptop I mentioned and installing Ubuntu on it. I'm not going to get into an argument about OSs. All 3 major desktop OSes do somethings well, and somethings poorly.
  - sabalaba 5y ago
    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 5y ago
      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 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 5y ago
        https://lambdalabs.com/lambda-stack-deep-learning-software 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 5y ago
        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 5y ago
        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.

deleted 5y ago

[deleted]

rfd4sgmk8u 5y ago

Negative incentive to discourage windows use, reducing cost for the vendor who now does not have to support proprietary drivers. Many vendors have realized that standard components lead to almost complete support in desktop Linuxes today. Upstream chip vendors providing drivers to the open source kernel, bypassing the need to get Microsofts blessing for selling product to your customer. I want a world where you have to pay 500 to keep using that awful proprietary spyware malwared os. Join us in free and open source Linux land. You have less and less reasons to pay microsoft tithes every year.

999900000999 5y ago
Your still losing money buying this vs getting the above laptop I mentioned and installing Ubuntu on it. I'm not going to get into an argument about OSs. All 3 major desktop OSes do somethings well, and somethings poorly.
- sabalaba 5y ago
  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 5y ago
    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 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 5y ago
      https://lambdalabs.com/lambda-stack-deep-learning-software 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 5y ago
        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 5y ago
      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.