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Ahh I misread the post and voted.
I read 5800x and not x3d sorry. I did switch from 5800x to 7800x3d though.
I just bought parts from Microcenterbw days ago. I will build the sys this week
I'm sure its gonna absolutely blaze in games.
I am curious, what program are you running that requires AI work?I was originally planning to skip this generation - but I wanted to go to 128gb of ram for AI inference and didn't want to invest more in AM4. I already have some use cases that benefit from 16 cores, though not enough to make me upgrade originally to a 7950x3d, and still game quite a bit, so going to make the jump now that price has dropped. As a side bonus, DDR5 provides a big jump in AI inference speed when using CPU - 8700G (which is ostensibly slower) is over 50% faster than my 5800x3d in AI inference. It should give me a meaningful gain in everything I currently do, so seems like the time is right - and I can always drop in next gen x3d when it releases.
I am curious, what program are you running that requires AI work?
I'm using LM studio to host local models and TaskWeaver and/or OpenInterpreter for interactions - basically having them write and test code for different tasks. I work in the AI/ML space and we can't use remotely hosted models due to data sharing concerns so being able to test them locally helps me assess feasibility. I've found that an agent setup using specialized models can get close to GPT 3.5 performance, but not GPT4. To get it working well enough to be usable requires multiple models running at once for inference - essentially use a specialized language one for planning out a task, a specialized code model for writing the code, and others as needed.
Sweet. Thanks for the input!I upgraded from a 5800X to a 7800X3D and the uplift is totally noticeable when you are CPU limited (which can happen even at 4K on a 4090). It's a gaming beast and you'll love it.
Is AI performance a metric of speed?