AI Chip Architectures

Those are amazing accomplishments but I am more interested in research developments in things like In-Memory (Analog) or other different approaches.

Companies like EnCharge, Mythic, etc.

And much more efficient devices like RRAM, MRAM, and FETs. Like FE-FETs with AlScN.

The stuff just coming out of research or still in research is more exciting in terms of the potential for truly huge efficiency and performance boosts.

Taalas is interesting also because of it's efficiency and speed. Guess it was just purchased by AMD.

Maybe it's just me, but between the extremely thin font and layout design, I find this extremely difficult to parse. Overuse and improper use of italics is confusing as well.

This text is most likely AI-generated. Borderline unreadable.

Not too shabby, but it shouldn't have been like 3 posts

I have a feeling the hardware architecture for LLMs are completely wrong. There's no way hundreds of kilowatts is required for intelligence.. just in terms of the physics. Is there someone out there in the analog/neuromorphic computing world that could make these power-hungry monsters completely redundant?

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