I really hope AMD gains more ground on the software side.<p>I know they are "technically supported" by onyx/pytorch etc. But almost every project I've seen there's a bunch of asterisks, a bunch of people needing different work arounds, and subpar performance compared to the hardware.<p>Maybe it's because most people have their consumer cards? Nvidia however doesn't have this issue, people on pascal are only just now having compatibility issues with not supporting a high enough cuda version.<p>The dream is they release a 4090-type competitor for a few grand, it doesn't even need full 4090-level performance, just strap 48gb+ of HBM and it would be a absolutely incredible deal for individuals learning/researching -> who then use the full enterprise stuff for full training/commercial inference.
According to this and SemiAnalysis[1], the MI300X seems impressive. Better than Nvidia's H100 and maybe a bit inferior to the H200. Why is Nvidia worth $1 trillion more?<p>[1] - <a href="https://www.semianalysis.com/p/amd-mi300-performance-faster-than" rel="nofollow noreferrer">https://www.semianalysis.com/p/amd-mi300-performance-faster-...</a>