WebGPU has no equivalent to tensor cores to my understanding; are there plans to add something like this? Or would this be "implementation sees matmul-like code; replaces with tensor core instruction". For optimal performance, my understanding is that you need tight control of e.g. shared memory as well -- is that possible with WebGPU?

On NVIDIA GPUs, flops without tensor cores are ~1/10th flops with tensor cores, so this is a pretty big deal for inference and definitely for training.