So far we've been focused on edge devices like the Zynq, Artix and Zynq Ultrascale+ families. Tensil certainly works on larger devices but it's not as optimized there as we'd like it. If that's interesting to you, I'd love to talk and understand your use case in more depth.
The Intel FPGA side is interesting, as you say there are fewer projects targeting their technologies for ML use cases. We haven't tested support for their boards yet, but there is nothing in our generated RTL that is exclusive to Xilinx. The only thing we'd need to add is new drivers for their platforms.
Would love to take a look at this. We just launched our FPGA-based cloud platform last year and currently we offer all of the Alveo series and some Intel as well. vmaccel.com
The Intel FPGA side is interesting, as you say there are fewer projects targeting their technologies for ML use cases. We haven't tested support for their boards yet, but there is nothing in our generated RTL that is exclusive to Xilinx. The only thing we'd need to add is new drivers for their platforms.