I'm surprised the input section was so vague it didn't gave any feedback about the haptic trackpad!
$3000 for that, I pass. No matter the repairability and upgradability promises, no matter the state of the market. This is insane.
QuoteLPDDR5-4266
Quote101309 MB/s
Panther Lake is a 128-bit platform (like the vast majority of consumer laptops and (mini-)PCs). This is why 4266 MT/s and measured 101309 MB/s don't fit.
128-bit * 4266 MT/s / 1000 / 8 = 68 GB/s, and a measured value would be something like 68 GB/s * 0.75 = 50 GB/s, but it's 101 GB/s.
3000 bucks for 32 GB RAM no additional VRAM?
Price is high not only because of high memory prices (tho 32 GB don't weight in that much), but mainly because of economies of scale.
A while back Dave2D already compared a repairable Framework laptop to a much cheaper one. But in the end, the more competition there is, the better.
If you care about using this laptop for AI extensively, know that with 32 GB RAM+VRAM and with current SOTA AI LLM Qwen3.6-35B-A3B model and its lowest usable quant, you will be restricted to about this amount of context:
Quote from: reddit.com/r/LocalLLaMA/comments/1sq94qx/is_anyone_getting_real_coding_work_done_with.. I've come to the conclusion that (1) 32768 is the biggest context I can get away with in an adequately smart model, and (2) it just ain't enough.
More here: notebookchat.com/index.php?topic=315954.0 ("Your own ChatGPT, offline: AI without the cloud on your laptop") and comments.