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A possible hardware solution for ultra speed (73x faster than H200) self hosted small models that is not dependent on RAM
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humanspiral lemmy.ca humanspiral@lemmy.ca
Joined: 2024-10-23
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Approach hardwires model weights into transistors, and uses older 6nm process. Targetting 70b model sizes (presumably 16 bit) by year end. It should cost much less than a 140gb card. but I don't know details.

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spencerwi feddit.org spencerwi@feddit.org
Joined: 2025-06-05
#2 · (edited) Quote Reply

Oh cool, a whole new e-waste industry. Anyone want this old gpt4.1 chip? I know the latest is GPT-8 and the whole ecosystem has largely moved on in a way that renders most software incompatible, but hey, it's right here on this PCI-E card so you can't stick it in a Raspberry Pi either!

No? Guess I'll chuck it in the landfill!

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humanspiral lemmy.ca humanspiral@lemmy.ca
Joined: 2024-10-23
#3 · Quote Reply

Oh cool, a whole new e-waste industry. Anyone want this old gpt4.1 chip? I know the latest is GPT-8 and the whole ecosystem has largely moved on in a way that renders most software incompatible, but hey, it's right here on this PCI-E card so you can't stick it in a Raspberry Pi either! No? Guess I'll chuck it in the landfill!

It's a good point that newer better models are released frequently. Perhaps especially among the open ones.

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