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Hello9999901 3 hours ago

This would be a very interesting future. I can imagine Gemma 5 Mini running locally on hardware, or a hard-coded "AI core" like an ALU or media processor that supports particular encoding mechanisms like H.264, AV1, etc.

Other than the obvious costs (but Taalas seems to be bringing back the structured ASIC era so costs shouldn't be that low [1]), I'm curious why this isn't getting much attention from larger companies. Of course, this wouldn't be useful for training models but as the models further improve, I can totally see this inside fully local + ultrafast + ultra efficient processors.

[1] https://en.wikipedia.org/wiki/Structured_ASIC_platform

roncesvalles 2 hours ago | parent [-]

Well even programmable ASICs like Cerebras and Groq give many-multiples speedup over GPUs and the market has hardly reacted at all.

brainless 15 minutes ago | parent | next [-]

Seems both Nvidia (Groq) and OpenAI (Codex Spark) are now invested in the ASIC route one way or another.

fooker 28 minutes ago | parent | prev [-]

> market has hardly reacted at all

Guess who acqui-hired Groq to push this into GPUs?

The name GPU has been an anachronism for a couple of years now.

fuck_google 9 minutes ago | parent [-]

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