The complete Framework Desktop with everything working (including said Ryzen AI Max 395+ and 128 GB of RAM) is 2500 EUR. In Europe the DGX Spark listings are at 4000+ EUR.
It's a different animal. Ryzen wins on memory bandwidth and has 'AI' accelerator (my guess matrix multiplication). Spark has times lower bandwidth, but much better and more generic compute. Add to that CUDA ecosystem with libs and tools. I'm not saying Ryzen is bad, actually it's great Mac substitute for poor man. $2K for 128GB version on Amazon now.
Online only at https://frame.work AFAIK. I don't think people shelling out 2-4k for an AI training machine are concerned whether or not they can find it at a hardware store locally or online, but I may be wrong.
The vast majority of Ryzen AI Max+ 395s (by volume at least) are sold as complete system offerings as well. About as far as you can go the other way is getting one without an SSD, as the MB+RAM+CPU are an "all or nothing" bundle anyways.
Fortunately, AMD upstreams its changes so no custom distro is required for Strix Halo boxes. The DGX is the platform more at risk of being left behind on Linux - just like Jetson before it, which also had a custom, now-abandoned distro.
Needing a customized spin of Ubuntu to have working video drivers is an Nvidia thing. One can also choose a Windows option, if they like, and run AI from there as it's just a standard x86 PC. That might actually be the best option for those worried about pre-installed OSs for AI tinkering.
The userspace side is where AI is difficult with AMD. Almost all of the community is build around Nvidia tooling first, others second (if it all).
Does Romc=ROCm, or something else? If the former, ROCm is just a userspace compute library for the in-kernel amdgpu driver. The "kernels" it runs are GPU compute programs, not customized Linux kernels.
