- cross-posted to:
- technology@lemmy.ml
- cross-posted to:
- technology@lemmy.ml
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What price point are you trying to hit?
With regards to AI?. None tbh.
With this super fast storage I have other cool ideas but I don’t think I can get enough bandwidth to saturate it.
You’re willing to pay $none to have hardware ML support for local training and inference?
Well, I’ll just say that you’re gonna get what you pay for.
No, I think they’re saying they’re not interested in ML/AI. They want this super fast memory available for regular servers for other use cases.
Precisely.
I have a hard time believing anybody wants AI. I mean, AI as it is being sold to them right now.
I mean the image generators can be cool and LLMs are great for bouncing ideas off them at 4 AM when everyone else is sleeping. But I can’t imagine paying for AI, don’t want it integrated into most products, or put a lot of effort into hosting a low parameter model that performs way worse than ChatGPT without a paid plan. So you’re exactly right, it’s not being sold to me in a way that I would want to pay for it, or invest in hardware resources to host better models.
With regards to AI?. None tbh.
TBH, that might be enough. Stuff like SDXL runs on 4G cards (the trick is using ComfyUI, like 5-10s/it), smaller LLMs reportedly too (haven’t tried, not interested). And the reason I’m eyeing a 9070 XT isn’t AI it’s finally upgrading my GPU, still would be a massive fucking boost for AI workloads.
