ML2CPP can generate specific C++ code with RISC-V extensions allowing all scikit-learn, pytorch, caret ML models to be deployable natively on this platform.
RISC-V extensions have the advantage to be non-proprietary.
This is a place holder for following the recent efforts on designing RISC-V specific extensions for AI/ML.
No public hardware is available yet.
Sifive Intelligence X280 CPU is an interesting start point. https://www.sifive.com/blog/introduction-to-the-sifive-intelligence-x280