61–70 of 1001 posts
Just like the last product release spent more time on huffing their own farts (the Apple Watch is the first of its kind carbon negative product), there is no real innovation or something to garner interest for me here.
What's with the 36 GB option? The other memory configs (16 GB, 64 GB) are still clean powers of two. Size suggests that they're using ECC-capable memory but using the extra width intended to support ECC for data... but why would this only apply to a single size? Part availability? EDIT: Digging this a bit, it's not (one or more) 72-bit wide busses with 2^32 words as I'd expect as a gray-beard, it's (probably) six 32-…
M2 and M3 go up to 24GB
M3 Pro is available in 18GB and 36GB
M3 Max is available in 36GB, 48GB, 64GB, 96GB, and 128GB
What's with the 36 GB option? The other memory configs (16 GB, 64 GB) are still clean powers of two. Size suggests that they're using ECC-capable memory but using the extra width intended to support ECC for data... but why would this only apply to a single size? Part availability? EDIT: Digging this a bit, it's not (one or more) 72-bit wide busses with 2^32 words as I'd expect as a gray-beard, it's (probably) six 32-…
I don't understand why they don't update the entire lineup whenever a new chip comes out, especially if really only swapping the chip in the macbook pro and imac here. On a separate note does anyone have any insight on how unified memory compares to vram in the context of machine learning performance? Considering an H100 with 80GB costs like $30k a maxed out macbook pro with 128gb unified memory for $5k is interestin…
They just updated their macbook air and mac studios and mac pros like 6 months ago? If they updated right now, the previous owners would feel utterly screwed over.
Earlier quoted context omitted.
And yet _still_ 8GB of RAM as the baseline. It's probably as profitable as it is evil / misleading.
Calling it evil is a bit of a stretch.
e.g. https://www.globaldata.com/data-insights/technology-media-an...
How did Apple become so successful making high-end CPU chips on their own so quickly?
> Additionally, support for up to 128GB of memory unlocks workflows previously not possible on a laptop, such as AI developers working with even larger transformer models with billions of parameters. The presentation explicitly highlighted this very randomly, without showing how AI development actually works. I know Apple has put more effort into Apple Silicon support for PyTorch but is it there yet?
M3 Max might be a contender, but Metal is far from CUDA yet? A laptop M3 Max looks like it can compete with a Nvidia 3070.
It's an unfair comparison as Nvidia is a huge desktop heat/energy hog and Apple M chips are really efficient. Let's see how desktop M3 chips fare.
I don't understand why they don't update the entire lineup whenever a new chip comes out, especially if really only swapping the chip in the macbook pro and imac here. On a separate note does anyone have any insight on how unified memory compares to vram in the context of machine learning performance? Considering an H100 with 80GB costs like $30k a maxed out macbook pro with 128gb unified memory for $5k is interestin…
Earlier quoted context omitted.
Here in EU, the price I get in the local Apple Store is 2029€ = $2153.
You will need to convince your politicians to lower import duties and taxes. And that $1599 USD is without taxes. So not the whole US has this price. It was always worth for me to travel to Oregon to have zero tax.