[d] Apple claims M2 Ultra "can train massive ML workloads, like large transformer models."

Here we go again... Discussion on training model with Apple silicon.

"Finally, the 32-core Neural Engine is 40% faster. And M2 Ultra can support an enormous 192GB of unified memory, which is 50% more than M1 Ultra, enabling it to do things other chips just can't do. For example, in a single system, it can train massive ML workloads, like large transformer models that the most powerful discrete GPU can't even process because it runs out of memory."

[WWDC 2023 …

apple apple silicon chips core enabling faster machinelearning massive memory silicon support training transformer transformer models