3 months in? I have not worked in chip design. But as an electronics engineer doing much less complex hardware (IoT sensors), I would say that is probably not enough time to hit any of the unexpected problems. Bringing an new ML accelerator architecture/family to market is likely 36 months at best.
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NVIDIA's profit margin is almost 92% on an H100. I'm surprised more chip companies haven't jumped on a "ML accelerator" bandwagon by now.
There's a dozen AI chips already; how many do you want?
Now working ones is a different story.
For anyone deeply familiar with building one: what are the biggest problems you run into 3 months in that you didn't foresee?
Just curious because IME that's the point where the fun problems surface :)
3 months in? I have not worked in chip design. But as an electronics engineer doing much less complex hardware (IoT sensors), I would say that is probably not enough time to hit any of the unexpected problems. Bringing an new ML accelerator architecture/family to market is likely 36 months at best.