Has Apple Silicon's unified memory benefited your workload?
One distinct advantage of Apple Silicon is that you can get up to 96GB of of high bandwidth (400GB/s) for an M2 Max and up to 192GB (800GB/s) for an M2 Ultra.
Has anyone's workload greatly benefited from this architecture?
I'm thinking AI inference for models where memory size matters more than compute?