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xyzzy123yesterday at 7:52 AM4 repliesview on HN

As I understand it, the killer app is llms. You could run MACs directly in RAM, offloading a lot of work from CPU and cutting down on insane (external) memory bandwidth required.

Imagine (this is a fantasy pitch but potentially achievable for some use cases) wanting to run a larger llm and all you have to do is buy more RAM so it fits.


Replies

reliabilityguyyesterday at 10:36 AM

> You could run MACs directly in RAM

Sure, MACs are nice. However, unless there other, PIM-specific/optimal, algorithms, regular matrix multiplication algorithms like tiling-based won’t work here I think — how would the tile be shared? By doing read/write all the time?

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embedding-shapeyesterday at 8:17 AM

> Imagine (this is a fantasy pitch but potentially achievable for some use cases) wanting to run a larger llm and all you have to do is buy more RAM so it fits.

Isn't this how it works today already? Granted you wanted to run it on RAM rather than VRAM.

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ameliusyesterday at 9:01 AM

You: "AI, please write me $COOL_APP."

AI: "Sorry, all the hardware is made for running AI."

WithinReasonyesterday at 9:27 AM

[dead]