Isn’t the point of desktops to already be modular?
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.
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.
Nvidia’s equivalent (DIGITS) is $2,999.
How do you know that it is equivalent? Or what the price is?
Equivalent as in 128gb of unified RAM targeting casual ML workloads. The price should be on any news article about it.
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.
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.
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.
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.
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