this post was submitted on 13 Aug 2023
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As the AI market continues to balloon, experts are warning that its VC-driven rise is eerily similar to that of the dot com bubble.

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[–] headmetwall@lemmy.dbzer0.com 31 points 1 year ago (8 children)

If it crashes hard I look forward to all the cheap server hardware that will be in the secondhand market in a few years. One I'm particularly excited about is the 4000 sff, single slot, 75w, 20GB, and ~3070 performance.

[–] Mossheart@lemmy.ca 2 points 1 year ago (3 children)

I figured the gear they were using was orders of magnitude heftier than those cards. Stuff like the h100 cards that go for the price of a loaded SUV.

[–] headmetwall@lemmy.dbzer0.com 5 points 1 year ago* (last edited 1 year ago)

They are, but training models is hard and inference (actually using them) is (relatively) cheap. If you make a a GPT-3 size model you don't always need the full H100 with 80+ gb to run it when things like quantization show that you can get 99% of its performance at >1/4 the size.

Thus NVIDIA selling this at 3k as an 'AI' card, even though it wont be as fast. If they need top speed for inference though, yea, H100 is still the way they would go.

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