In AI in Healthcare realm, need to do deep learning profiling and big data modeling in healthcare. Right configuration for Mac Studio 2025?
On the Mac, the right tool for the job is the Neural engine, accessed through Apple CoreML framework.
While most Mac processors have a 16-core neural engine, the ULTRA processors have twice that many.
https://en.wikipedia.org/wiki/Neural_Engine
see the list of references at the end of that article for more insights.
On the Mac, the right tool for the job is the Neural engine, accessed through Apple CoreML framework.
While most Mac processors have a 16-core neural engine, the ULTRA processors have twice that many.
https://en.wikipedia.org/wiki/Neural_Engine
see the list of references at the end of that article for more insights.
if this is the first or only such system, it makes sense to get as much RAM as you can. If you get too little, it can not be upgraded later, except by buying a new machine.
Really useful information. I have one more question. When we configure the right combination, what will be the role of memory? Standard starts with 96 GB unified memory. Should I get 256 GB? Would that make the DL jobs better?
Need to do deep learning profiling and big data modeling in healthcare. Right configuration for Mac Studio 2025?
