melgross
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Five years of Apple Silicon: How Apple continues to revolutionize chips
danvm said:danox said:danvm said:programmer said:danvm said:And I have work with some of those workstations, and the performance is not as pathetic as you mention. Some of them have advantages over Apple Silicon, specially when comparing the GPU.
It would be interesting to see a large scale data centre built from ARM-based machines and compared to ones build from Intel/AMD-based machines, and compare the operating costs. Some of the big cloud vendors offer lower cost ARM-based hosts just for this reason -- they greatly reduce energy and cooling costs in the data centre. Not Apple's focus though, so we aren't likely to see Apple Silicon based data centres (except perhaps for Apple's own, but they are typically very secretive about that).
I also know the benefits of Apple Intelligence and ARM in general, especially with power efficiency. But there are cases where some specialized applications use CUDA / Optix, and you are required to use Nvidia adapters. In datacenters is very difference, and even more with AI. There are even rumors of Apple dealing with Nvidia for their datacenters.
Unlikely report claims Apple is buying 250 Nvidia servers for AI
Large cloud providers also have their own AI processors (Amazon Trainium2, Azure Maia and Google Axion). Maybe these processors have advantages over ARM and Apple Silicon for AI tasks. My point is that ARM and Apple Silicon is not the magic CPU that will solve all problems. It has many advantages over Intel and AMD in some tasks. But Intel, AMD and Nvidia have some advantages over ARM / Apple too.
At the end, It's good to have competition working for us.The competition from Intel, AMD, and Nvidia is commendable in theory, but Apple boasts several in-house operating systems (ecosystems) that make direct competition with them impractical. I don’t believe any of these companies will be working for Apple again. Two out of the three had their chance, and like Samsung’s (chip division), they only caused trouble for Apple.
Apple Silicon isn’t magical, but the absence of an in-house OS prevents these companies from optimizing their hardware to an operating system, putting them behind Apple. This is also why Microsoft is frantically flailing around with Qualcomm, attempting to revive its failing and unprofitable Surface computer line.
And you when you talk about the Surface line, you have to think that Apple is not the only one competing with them. HP, Dell and Lenovo outsell Microsoft (and even Apple) by a large margin. And these are the top three among many others. With Windows, customers have choices, not that much with Apple. That's the reason I think you cannot make a 1:1 comparison of sales numbers between Apple vs Microsoft.
BTW, from I have seen, the Qualcomm Snapdragon Elite looks very competitive, even with Apple. And there are rumors that Nvidia have something to announce soon. -
Files iPadOS 26 vs iPadOS 18: Refinements & speed improvements make Files actually usable
CheeseFreeze said:I’m very concerned about readability. Just look at these screenshots. Everything is white, bright white, without any clear separation through the use of background colors. So far I find Liquid Glass an inconsistent mess, in comparison to what I considered a very refined UX/UI. They butchered it. -
Files iPadOS 26 vs iPadOS 18: Refinements & speed improvements make Files actually usable
Sarsara_777 said:You can't see the size of a folder in Gb/Mb! Just as annoying as windows
we’ll see if they add that as the betas progress. -
Apple's chip chief says he wants AI chip design, but he already has it
gatorguy said:The author may, unintentionally or not, be conflating terms. Just as all horses have a relationship to the category of animal, adaptive AI has a relationship to machine learning. As with horses, the opposite is NOT true. All animals are not horses, and old machine learning operations are not the same as adaptive AI, or even AI as a whole for that matter. Apple hopes to correct that by leaning into it for upcoming chip designs.
While Apple has used machine learning-based software, which is unable to adapt to unexpected outcomes, it hasn't yet used the idea of a system that can continuously learn and improve its chip design autonomously, aka Adaptive AI, for the task. -
Files iPadOS 26 vs iPadOS 18: Refinements & speed improvements make Files actually usable
I expect the folder drag issue is simply that they haven’t implemented it yet. I don’t have an older iPad to test against, but I noticed quickly that most everything that isn’t directly timed, is faster. It seems that they really did an overhaul of large parts of the OS.
we can continue to expect some people to find something to complain about, but they really did change most everything. Here we go already - I can’t wait to see what they do next year.