The SDKs for the non big name (Nvidia, Google, AMD) accelerators have very poor developer experiences. (Granted CUDA/ROCm isn't much better) A number of the embedded SDKs require you to use their custom framework and won't support Tensorflow/Torch models out of the box. Onnx and similar conversion frameworks target only the big name chips, not off the shelf generic AI accelerator chips. Embedded systems need more software engineering.