I was looking at the system requirements for Topaz AI because I haven't upgraded to the newer versions and was curious if they have a build now for Apple Silicon as I have a 14" M3 Max 16/40 64GB on order. I'm looking to upgrade some of my professional tools to avoid the performance impact of Rosetta 2 wherever possible.
Given the discussion recently in the forums about Apple saying 8GB = 16GB, I found the RAM system requirements for Topaz Photo AI to be interesting.
System requirements for M-series chips: 8GB
System requirements for Intel Mac: 16GB
System requirements for Windows: 12GB (16GB or more recommended)
So it seems like there is some real world evidence for this argument, although I feel like 12GB is probably closer to the real answer, and I thought as much when that story came out. Memory compression goes a long way, and having unified memory can really help out apps like this that can be so GPU intensive doing AI stuff.
While I wouldn't recommend 8GB even to my grandfather, it's still interesting that there is something real and tangible to this whole story, as evidenced above. 8GB still isn't enough for a professional user if they ever plan to do more than one thing at a time. And while it will work, evidence has shown that more memory helps, especially in AI applications for loading the model into memory, not to mention other applications like video rendering, etc. For normal users, it will significantly shorten the usable lifespan of their computer with regard to future OS updates. You can't tell me this 8GB system won't be crawling when it gets macOS 20 in six years! And a lot of regular people keep their computer that long or longer. Heck, I'm a professional and I kept my maxed out 2012 retina MBP for nearly 7 years. Didn't keep my 2019 that long because of the transition and massive improvements to heat and battery life, but I plan to keep my upcoming MBP M3 Max for about that long!
Anyway, just thought that was interesting. Peace.
Given the discussion recently in the forums about Apple saying 8GB = 16GB, I found the RAM system requirements for Topaz Photo AI to be interesting.
System requirements for M-series chips: 8GB
System requirements for Intel Mac: 16GB
System requirements for Windows: 12GB (16GB or more recommended)
So it seems like there is some real world evidence for this argument, although I feel like 12GB is probably closer to the real answer, and I thought as much when that story came out. Memory compression goes a long way, and having unified memory can really help out apps like this that can be so GPU intensive doing AI stuff.
While I wouldn't recommend 8GB even to my grandfather, it's still interesting that there is something real and tangible to this whole story, as evidenced above. 8GB still isn't enough for a professional user if they ever plan to do more than one thing at a time. And while it will work, evidence has shown that more memory helps, especially in AI applications for loading the model into memory, not to mention other applications like video rendering, etc. For normal users, it will significantly shorten the usable lifespan of their computer with regard to future OS updates. You can't tell me this 8GB system won't be crawling when it gets macOS 20 in six years! And a lot of regular people keep their computer that long or longer. Heck, I'm a professional and I kept my maxed out 2012 retina MBP for nearly 7 years. Didn't keep my 2019 that long because of the transition and massive improvements to heat and battery life, but I plan to keep my upcoming MBP M3 Max for about that long!
Anyway, just thought that was interesting. Peace.