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Framework’s first desktop is a strange—but unique—mini ITX gaming PC
(arstechnica.com)
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this post was submitted on 25 Feb 2025
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Edit: to be clear, I was only trying to point out that "we’re being deliberate in making memory pricing more reasonable than you might find with other brands" is clearly targeting the Mac Mini, because Apple likes to price-gouge on RAM upgrades. ("Unamused face looking at Apple," get it? Maybe I emoji'd wrong.) My comment is not meant to be an opinion about the soldered RAM.
To be fair it starts with 32GB of RAM, which should be enough for most people. I know it's a bit ironic that Framework have a non-upgradeable part, but I can't see myself buying a 128GB machine and hoping to raise it any time in the future.
If you really need an upgradeable machine you wouldn't be buying a mini-PC anyways, seems like they're trying to capture a different market entirely.
According to the CEO in the LTT video about this thing it was a design choice made by AMD because otherwise they cannot get the ram speed they advertise.
Yes that's the problem.
That they want to sell cheap ai research machines to use for workstation?
Yeah hugely disappointed by this tbh. They should have made a gaming capable steam machine in cooperation with valve instead :)
Yeah.
But that's AMD's fault, as they gimped the GPU so much on the lower end. There should be a "cheap" 8-core, 1-CCD part with close to the full 40 CUs... But there is not.
They still could; this seems aimed at the AI/ML research space TBH
This is an AI chip designed primarily for running AI workflows. The fact that it can game is secondary
Yeah exactly, its worthless... Even the big players already admit to the AI hype being over. This is the worst possible thing to launch for them, its like they have no idea who their customers are.
The AI hype being over doesn’t mean no one is working on AI anymore. LLMs and other trained models are here to stay whether you like it or not.
I mean, it's not. You can do aí workflows with this wonderful chip.
If you wanna game, go buy nvidia
Would 256GB/s be too slow for large llms?
It runs on the gpu