11–20 of 22 posts
I own devices from GPD, and I have had two issues -- devices are simply not reliable, in just over a year the screen showed a green verticle line, and the display died a few months later. Secondly, the keyboard is simply unusable if you plan to program on it.
That's some dime-store psychology going there. Freaking hilarious.
It's a nice little netbook. But does anybody still want or need a netbook? Especially a rather expensive one.
This looks neat, but it looks like it's trying to be everything to everyone, and while that's always tempting for a new product, I think it's usually doomed to failure. Why does it support an RS232 port, especially on such a small form factor? Why does it focus so much on local LLM support? Why has it got such a high resolution display? Why has it got swappable ports? Each one of those features makes sense in isolati…
This looks neat, but it looks like it's trying to be everything to everyone, and while that's always tempting for a new product, I think it's usually doomed to failure. Why does it support an RS232 port, especially on such a small form factor? Why does it focus so much on local LLM support? Why has it got such a high resolution display? Why has it got swappable ports? Each one of those features makes sense in isolati…
It's an interesting idea. GPD makes machines that will appeal to those interested in handheld gaming and those on pager duty. I own devices from GPD, and I have had two issues -- devices are simply not reliable, in just over a year the screen showed a green verticle line, and the display died a few months later. Secondly, the keyboard is simply unusable if you plan to program on it.
I was skeptical of the "AI" but it has 64gb of RAM and the Ryzen AI 9 HX 37 CPU, supposedly has good LLM performance [1]. So yea, its an interesting device. [1] https://www.reddit.com/r/Amd/comments/1gfr60l/ryzen_ai_300_t...
...buuuuut, to be fair, I don't either a) particularly care, or b) really have that much knowledge about the Ryzen AI 9 HX 37 CPU.
Anyone care to point me vaguely in the direction of something meaningful that would suggest that CPU based inference would, in general, be even remotely comparable to dedicated GPU performance for AI?
I remain pretty skeptical.
(That reddit thread kicks off with someone saying 'LLM isn't particularly compute intensive workload', which is obviously a) false, and b) gives me no confidence in their review. If LLMs were just memory intensive, we would all just be getting machines with more RAM and no one would be going crazy with 4 parallel 24GB GPUs just to eek out the performance for inference; they'd just slap a 64GB sim in their machine and be done with it).
LLM inference it is memory intensive, but it IS compute intensive too.
Being able to run on a CPU at 1 token per century is not what anyone wants.
This looks neat, but it looks like it's trying to be everything to everyone, and while that's always tempting for a new product, I think it's usually doomed to failure. Why does it support an RS232 port, especially on such a small form factor? Why does it focus so much on local LLM support? Why has it got such a high resolution display? Why has it got swappable ports? Each one of those features makes sense in isolati…
Doomed to failure? It's literally the 4th version of this product.
"Doomed to failure" was too strong in hindsight, it seems GPD have found their niche. It does however sound like it is quite a niche. This product does have a bunch of tradeoffs that work for that niche, but that make it unlikely to be suitable for a mainstream audience.