MacBook Pro 14" M3

This news both gives me hope for a revolution in M6 and takes it away. I really hope that Apple, in M6, thanks to TSMC technologies, will implement something similar to mobile HBM memory. Instead of buying fully packaged LPDDR chips, they would purchase only the bare dies without packaging and stack

I think price/hardware unit (CPU/ram/SSD) is actually lower, especially if we target premium models. Strictly speaking you have to spend more on absolute base, but then you get more hardware capacity. The same 3k now gives me double storage, 33% more ram, and faster chip (M3 pro Vs M5 pro) than the

Que te lo traiga tu amigo, también puedes mirar opciones refurbished en Amazon o Apple, que son computadores que ellos arreglan y están perfectos. Hace un año compré un M3 Pro de 32gb de ram 16 pulgadas y 512gb de almacenamiento en 3’500.000, es una gran opción

I had an m1 8gb MBP for work and M1 8GB for personal use. It worked great but the 8gb started to limit my workflow heavily as apple pushed out newer and newer updates. My workflow hadn't changed. End up with a MBP M3 16GB for work and MBP M4 16GB. Had I gotten a M1 with 16gb still be using it today.

But then, there's an extra 4GB of RAM in the M3. That 4 MB might never get utilized really though. Such an odd number too - kind of sus. You’re sure it’s not just a misprint? From what I've read, the M3 can technically perform worse in Logic because it has fewer efficiency cores than the Max Yeah -

FWIW - I'm using an M3 Pro MacBook Pro, 18gb, and I never (yes, I'm knocking ALL the wood right now) have the problems people seem to experience as endemic in this latest stuff. ** shrug ** I also avoid CocoaPods and non-SPM dependencies like the plague when possible. I use exactly zero plug ins or othe

If the main goal is AI/ML, model training, or anything that relies heavily on GPU compute, then spending that much money on a machine without an NVIDIA GPU doesn’t make sense. With that kind of budget, I would go for a laptop with 32 GB RAM and a dedicated 16 GB NVIDIA GPU, then install Linux on it.

I do what you do (modelling/large spatial datasets) with R/RStudio.. have a MacBook Pro M3 Pro chip with 36 GB. It is amazingly fast. Very glad I sprung for extra RAM. Surely new M5 chips even more efficient.

As one of the developers for the fintech software it's definitely not the software lol. I had to profile it to see where the bottleneck was. An example, a build of one of our stacks takes ~20s on my M3 pro MacBook pro / 32gb ram. Doing the same build (the app is multi arch so amd64 on windows and ar

It's definitely a better operating system (being based on UNIX). macOS updates are way less painful than on Windows. Also the UI looks more beautiful. You also would get quality hardware. Apple Silicon CPUs have better single thread performance (feels snappier) and memory bandwidth can go way higher