[InTheArena]

I have a DGX and a Ryzen AI Max 395 - while I love both of them, there are a few critical things that leave the DGX in use, while the Ryzen "just" is my primary homelab server. The biggest thing is prefil numbers, and the performance impact of higher context sizes. Qwen 27b is a great model, nemotron is decent, gemma is workable. But all of them need reasonable context for reasonable outputs.

Unfortunitly, as others have noted, the DGX OS experience... sucks. My hope is that the RTX Spark (which looks to be the exact same stack, sans the high capacity network interface) will help this get a bit more attention, but nVidia's long long long war with the open source community is not helping. Focusing on mainlining kernel support would go a long way to getting the community to be supportive.

Of course, a massive regression just hit Linux 7+/7.1 plus for ROCm hosts, so it's just rough everywhere.