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athrowaway3z • today at 5:07 PM • 2 replies • view on HN

I haven't really dug into the results yet, but my guess is that a SOTA model has been able to produce an accelerator that runs a model since around December.

The obvious next step is to get enough memory throughput to run that SOTA model itself so that it develop its own hardware.

But perhaps the more interesting question is this: Can an AI be given a big FPGA and design a model architecture that takes advantage of the fabric being reconfigurable.


Replies

chris_money202 • today at 5:36 PM

There doesn't exist a single FPGA that can fit an entire AI ASIC. You would need dozens stitched together, then comes the issue of clock speeds, FPGAs typically run far below reference. There also memory issues with FPGAs.

Companies typically combined multiple platforms together such as HAPs, Zebu, Palladium, fleets of FPGAs, and Virtual Platforms in order to design and verify ASICS. So, AI would need access to tens of millions of dollars of HW and Software in order to build and verify a chip design.

felixgallo • today at 5:18 PM

I suspect an AI could design a purpose-built FPGA-like replacement that would be, for its purpose, significantly more effective than the current general-purpose FPGAs.

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