←back to thread

AMD unveils Ryzen Pro 8000-series processors

(www.tomshardware.com)
172 points marban | 1 comments | 16 Apr 24 13:38 UTC | HN request time: 0.213s | source
Show context
bearjaws ◴[16 Apr 24 14:12 UTC] No.40052158[source]▶
The focus on TOPS seems a bit out of line with reality for LLMs. TOPs doesn't matter for LLMs if your memory bandwidth can't keep up. Since it doesn't have quad channel memory mentioned I guess it's still dual channel?

Even top of the line DDR5 is around 128GB/s vs a M1 at 400GB/s.

At the end of the day, it still seems like AI in consumer chips is chasing a buzzword, what is the killer feature?

On mobile there are image processing benefits and voice to text, translation... but on desktop those are no where near common use cases.

replies(3): >>40052204 #>>40052260 #>>40052353 #
VHRanger ◴[16 Apr 24 14:19 UTC] No.40052260[source]▶
The killer feature is presumably inference at the edge, but I don't see that being used on desktop much at all right now.

Especially since most desktop applications people use are web apps. Of the native apps people use that leverage this sort of stuff, almost all are GPU accelerated already (eg. image and video editing AI tools)

replies(1): >>40052360 #
jzig ◴[16 Apr 24 14:26 UTC] No.40052360[source]▶
What does “at the edge” mean here?
replies(4): >>40052515 #>>40052529 #>>40052531 #>>40052991 #
1. georgeecollins ◴[16 Apr 24 14:36 UTC] No.40052515[source]▶
Not using AI on the cloud. So if your connection is uncertain or you want use your bandwidth for something else-- like video conferencing or gaming. Probably the killer app is something that wants to use AI but doesn't involve paying a cloud provider. I was talking to a vendor about their chat bot built to put into MMOs or mobile games. It woudl be killer to have a character have life like conversation in those kinds of experiences. But the last thing you want to do is increase your server costs the way this AI would. Edge computing could solve that.