My cursory understanding is that Silo is a developer of LLMs that run on top of compute platforms. Isn't the problem with no one using AMD's accelerators the fact that their programming environment is sub-par compared to CUDA, or even Apple's?
The underinvestment in, and abandonment of, a project for a CUDA compatibility layer https://github.com/vosen/ZLUDA?tab=readme-ov-file#faq by AMD a few months ago hints that they no longer see CUDA compatibility as a goal. Perhaps they see Silo as a way to jumpstart bringing ROCm to parity with CUDA's toolkit. It's hard to understand if there's an underlying strategy to how they'll stay relevant from a software persp…
Much more sensible to work on getting rock solid support for their own standards into all the major ML platforms/libraries.