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So image generation is where it's at?
(sh.itjust.works)
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this post was submitted on 09 Aug 2025
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Framework has an AI machine on the market.
I haven't used it myself but perhaps it's worth looking into for your project.
https://frame.work/gb/en/desktop?tab=machine-learning
I'm aware of it, seems cool. But I don't think AMD fully supports the ML data types that can be used in diffusion and therefore it's slower than NVIDIA.
Slower? Yes. But the alternative to a Framework Desktop for home use is a 30-40k Nvidia GPU, so I'm fine with slow.
Not to mention that it is more than fast enough for common use cases: https://github.com/geerlingguy/ollama-benchmark/issues/21#issuecomment-3164570956
For image generation, you don't need that much memory. That's the trade-off, I believe. Get NVIDIA with 16GB VRAM to run Flux and have something like 96GB of RAM for GPT OSS 120b. Or you give up on fast image generation and just do AMD Max+ 395 like you said or Apple Silicon.
I wonder if that's a limitation of mesa?
Could it be possible with amdvlk?
Lots of developer choose to write in CUDA as ROCm support back then is a mess.