Yeah mainly GPGPU. C++ still has an advantage in that there are quite some convenient SIMD libraries available (like Agner Fog’s vectorclass, and Google’s Highw

Yeah mainly GPGPU. C++ still has an advantage in that there are quite some convenient SIMD libraries available (like Agner Fog’s vectorclass, and Google’s Highway that you have mentioned), but you can still write raw intrinsics in other languages (actually Zig has vector types baked in so you can use this instead). Though on second thought: for this particular company’s usecase, since they only need this for the server backend it would be best to stick to a certain hardware configuration and optimize the hell out of it. For example they can just stick to Xeon servers and use raw AVX512 intrinsics which can be particularly fast for number crunching. And since GPUs are incredibly expensive to host (and also has latency costs associated with it), it might be best to just stick with CPU SIMD.