undefined | Better HN

0 pointsmschuster9123h ago0 comments

> By stacking multiple nanosheet channels, the effective channel width can be maintained even within a highly compact footprint.

The fact that this level of precision can be achieved on 300mm wafers over many dozens of separate steps in separate devices is an insane achievement on its own.

0 comments

4 comments · 1 top-level

amelius21h ago· 3 in thread

A much greater achievement than training frontier models, or building any kind of software stack, if you ask me.

Yet everybody seems to think the moat is with the AI companies or nvidia.

ksec5h ago

And the money we are paying for it as consumer is ridiculously low. And yet all we have ever heard was they are being ripped off.

Generally speaking both HN and the internet rarely appreciate hardware advancement.

blenklo9h ago

For sure but a weird comparision. These are completly different technologies.

I don't think a optics engineere can train a frontier model.

But also a frontier model requires a lot of compute.

y1n014h ago

Now that it's been clear there's money to be made for a little while, inference engines will be commoditized the same way as bitcoin miners.

j / k navigate · click thread line to collapse