this post was submitted on 27 Feb 2025
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[–] [email protected] 0 points 2 months ago (1 children)

Ah, yes, the one with the checks notes soldered on RAM.

[–] [email protected] 3 points 2 months ago

Yes the one with 128GB of ram usable by the graphics card with every other component down the the usb slots modularised and swappable. Its a deliberate trade off that makes it very attractive for people doing ML work, its just with that level of grunt it's also good for games.

[–] [email protected] 5 points 2 months ago* (last edited 2 months ago) (1 children)

I bought a Lenovo thinkpad x1 carbon from a business closeout dealer or whatever for $150 is the greatest computer purchase I have ever made. It's running Linux now, and I upgraded it with a 2tb ssd, and its tiny and fast, 16gb ram, hd display and fantastic keyboard.

I love the idea of the framework and they seem awesome, but when such a cheap option exists it is hard to justify to insane price tag. Desktop will only be worse I would imagine.

[–] [email protected] 4 points 2 months ago

I have a x1 carbon gen 9. Be very careful with the USB-C ports. I leave mine on my desk and my hub kept cutting in and out while using it and its gotten worse over time. I've seen others with similar issues and it seems like the fix is to solder on a new port. Its a work laptop so I just deal with it.

[–] [email protected] 12 points 2 months ago* (last edited 2 months ago) (1 children)

Looking at the others in the ultra-SFFPC market segment they're targeting (e.g. Mac Mini, Intel NUC, Nvidia DIGITS) this is a solid first outing.

It's a standard ITX mainboard that happens to have soldered ram. It will fit in any ITX-compatible case and even has dedicated PCI-e slot in case you do use a case with space for a PCI-e device like an SFP+ card.

On the upside, the unified ram means the GPU can use it, and so you could run 70b-size models on it.

[–] [email protected] 7 points 2 months ago (1 children)

On the upside, the unified ram means the GPU can use it, and so you could run 70b-size models on it.

The version with 128GB ram is $1999.

[–] [email protected] 14 points 2 months ago (1 children)

Nvidia's equivalent (DIGITS) is $2,999.

[–] [email protected] 1 points 2 months ago (1 children)

How do you know that it is equivalent? Or what the price is?

[–] [email protected] 2 points 2 months ago (1 children)

Equivalent as in 128gb of unified RAM targeting casual ML workloads. The price should be on any news article about it.

[–] [email protected] 1 points 2 months ago (1 children)

I mean there's more to a computer than how much RAM it has.

I only see 3rd party sources for pricing, nothing directly from Nvidia. And indeed Framework did say in their presentation that there was no price.

[–] [email protected] 1 points 2 months ago

I mean there's more to a computer than how much RAM it has.

Ok bro

I only see 3rd party sources for pricing, nothing directly from Nvidia. And indeed Framework did say in their presentation that there was no price.

https://nvidianews.nvidia.com/news/nvidia-puts-grace-blackwell-on-every-desk-and-at-every-ai-developers-fingertips

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