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SRAM is not very dense.

IMO the next big shift in AI hardware is when some of the upcoming logic-compatible memory types mature. Inference inherently likes many small local pools of memory, with their own interface each. This is impractical with currently available memory other than sram.

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It's SRAM. It's the equivalent of 44 GB of CPU cache.
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Exactly, which is why it’s so incredibly fast. And expensive.
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traditional SRAM memory has 6 transistors per bit. Dense SRAM can have two transistors.

Wafers can have trillions of transistors, 10-16 times more than the 4 trillion of the WSE-3.

1 Terabyte of SRAM per wafer will be the upper limit for a few years [1].

[1] https://youtu.be/vbqKClBwFwI?si=gbBeZ1B66_eGI81Z

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SRAM doesn't shrink as well as other types of circuitry do when process nodes advance.
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You mean it is unimaginably massive.
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