Actually Intel is at the forefront of deep learning software as well: - MKL-DNN (rebranded DNNL) is unique and has no equivalent in the ARM space. It even supp

Actually Intel is at the forefront of deep learning software as well: - MKL-DNN (rebranded DNNL) is unique and has no equivalent in the ARM space. It even supports OpenCL - OpenCV - MKL - PlaidML and NGraph follow the current trend of deep learning compilers - They had Nervana Neon as a deep learning framework which I'm pretty sure contributed to Nervana acquisition as at the time it was even faster for convolution than Nvidia CuDNN. I'm really looking forward to their Xe GPU. Also I expect them to leverage MLIR or contribute heavily to the linear algebra dialect -> LLVM IR optimization passes.