Yeah show me a phone with 48GB RAM. It’s. Big factor to consider. Actually, some people are recommending a Mac Studio cause you can get it with 128GB RAM and more and it’s shared with the AI/GPU accelerator. Very energy efficient, but sucks as soon as you want to do literally anything other than inference
Comment on I'm sorry, little one
MotoAsh@lemmy.world 5 months agoNot if it’s for inference only. What do you think the “AI acceledators” they’re putting in phones now are?
RandomlyRight@sh.itjust.works 5 months ago
Fuzzypyro@lemmy.world 5 months ago
I wouldn’t say it particularly sucks. It could be used as a powerhouse hosting server. Docker makes it very easy to do no matter the os now a days. Really though I’d say its competition is more along the lines of ampere systems in terms of power to performance. It even beats amperes 128 core arm cpu at a power to performance ratio which is extremely impressive in the server/enterprise world. Not to say you’re gonna see them in data centers because price to performance is a thing as well. I just feel like it fits right into the niche it was designed for.
RandomlyRight@sh.itjust.works 4 months ago
How could you solve the problem of storage expansion? I assume there exists some kind of thunderbolt jbod thing or similar
ShadowRam@fedia.io 5 months ago
Ok,
Show me a PCE-E board that can do inference calculations as fast as a 3090 but is less expensive than a 3090.
RandomlyRight@sh.itjust.works 5 months ago
I’d be interested (and surprised) too