zlacker

>>tin7in+(OP)
>Who is going to take the risk of deplying 10,000 AMD GPUs or 10,000 random startup silicon chips? That’s almost a $300 million investment.

Ironically, Jensen Huang did something like this many years ago. In an interview for his alma mater, he tells the story about how he had bet the existence of Nvidia on the successful usage of a new circuit simulation computer from a random startup that allowed Nvidia to complete the design of their chip.

>>slushh+lg
> >Who is going to take the risk of deplying 10,000 AMD GPUs or 10,000 random startup silicon chips? That’s almost a $300 million investment.

Lumi: https://www.lumi-supercomputer.eu/lumis-full-system-architec...

>>anewhn+fl
AMD GPUs are relatively well tested. Anybody who's looked at nvidia's architecture could tell you it's not perfect for every application. Similarly AMD's isn't either.

If you know what your application would be and have the $300 million custom chips may be way more wise. Something you'd only get if you make things in-house/at startups.

>>toaste+6m
For which applications are AMD GPUs more suited? Last I looked at the available chips, AMD sometimes had higher FLOPS or memory throughput (and generally lower cost), but I don't recall any qualitative advantages. In contrast, just to pick something I care about, NVIDIAs memory and synchronisation model allows operations like prefix sums to be significantly more efficient.

>>Athas+rr
> but I don't recall any qualitative advantages

Like... how you feel when you use them? (-: