I'm having a hard time trusting Intel with anything AI mid to long term. OpenVINO was great until they removed support for Intel FPGAs, and they've been closing

I'm having a hard time trusting Intel with anything AI mid to long term. OpenVINO was great until they removed support for Intel FPGAs, and they've been closing and deprecating low-level APIs that were necessary for low-latency, low-watt work on ex-Movidius hardware (and KeemBay always seems to be 'next semester'...). We already have huge lock-in with Nvidia, but at least we get wide expertise and huge perf boost, what does oneAPI bringing expect 'portability' and 'runs as fast as tf/torch/TVM'... OpenCL? Rocm? Vulkan targets? Who's going to debug and support that? I'm struggling to see what's enticing in this for python people that already have largely optimised torch and tf cpu and gpu backends, especially for batch work. And for latency-sensitive inference, I thought the 'industry' was going for TVM or other 'target all the things at code level'. I'm thinking: gimme your network in onnx format, everyone gives a C inference/compilation API, and let everyone optimize /behind/ that... Xilinx, AMD, whoever-Google-bought-last-week...