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Show HN: Razer x Lambda Tensorbook

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Re: Show HN: Razer x Lambda Tensorbook

#31

Post by sabalaba »

999900000999 wrote: post #24
rfd4sgmk8u wrote: post #22

Earlier quoted context omitted.

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…

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.

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.

Re: Show HN: Razer x Lambda Tensorbook

#32

Post by 999900000999 »

sabalaba wrote: post #31
999900000999 wrote: post #24

Earlier quoted context omitted.

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.

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 t…

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.

Re: Show HN: Razer x Lambda Tensorbook

#33

Post by sabalaba »

999900000999 wrote: post #32
sabalaba wrote: post #31

Earlier quoted context omitted.

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 t…

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 expensiv…

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.

Re: Show HN: Razer x Lambda Tensorbook

#34

Post by sabalaba »

z991 wrote: post #30

Vinay, I'm as close to a True Believer for this product as you'll find. I'm typing this from a Blade 15 in Ubuntu I bought 2 weeks ago for deep learning (not knowing about the Lambda collaboration!) I've been using Razer laptops for years and use Lambda boxes at work. All great computers. As you can imagine, running Linux on these is a chore (my current adventure [1]) so I'm very excited to see some official support.…

Nice tutorial, we worked with the Razer BIOS team to find the touchpad problem and fix it. And we use the 5.15 kernel to fix a handful of the other hardware issues when running Linux on the Razer hardware.

We can run the battery issue / suggestion by the Razer BIOS team.

Re: Show HN: Razer x Lambda Tensorbook

#35

Post by 999900000999 »

sabalaba wrote: post #33
999900000999 wrote: post #32

Earlier quoted context omitted.

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 expensiv…

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.

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.

Re: Show HN: Razer x Lambda Tensorbook

#36

Post by vimeh »

z991 wrote: post #30

Vinay, I'm as close to a True Believer for this product as you'll find. I'm typing this from a Blade 15 in Ubuntu I bought 2 weeks ago for deep learning (not knowing about the Lambda collaboration!) I've been using Razer laptops for years and use Lambda boxes at work. All great computers. As you can imagine, running Linux on these is a chore (my current adventure [1]) so I'm very excited to see some official support.…

Andy (Andrew?), > Apple will not always charge to 100% via some mysterious schedule We prefer to think that "mysterious schedule" and "machine learning" have the same > energy Have you tried `Al Dente` on Mac?

> an older Dell Latitude... setting in the BIOS So we've engaged with American Megatrends to license the BIOS directly... a cross function of business and legal folks at Lambda are currently figuring that out, but I'm excited to report that we know we can version control the BIOS!

> I've bought 4... 3 different... a fifth... Oof; that's a reputation. I do really admire and respect the approach Frame.work has taken towards modular, user-servicable systems with components. A mindset of sustainability from the outset is something I think we all here strive for.

From someone here who has a background in chemical engineering, can you ELI5 lithium ion battery degradation?

Andy, the director of product (Dan) has been/will be reaching out to you.

Vinay

Re: Show HN: Razer x Lambda Tensorbook

#37

Post by vimeh »

999900000999 wrote: post #32
sabalaba wrote: post #31

Earlier quoted context omitted.

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 t…

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 expensiv…

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.

Re: Show HN: Razer x Lambda Tensorbook

#38

Post by 999900000999 »

vimeh wrote: post #37
999900000999 wrote: post #32

Earlier quoted context omitted.

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 expensiv…

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 an…

>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.

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