Earlier quoted context omitted.
What if Apple maintains a lead in process mode though? 3 nm while Intel is at 5, 2 nm while Intel is at 3, etc. I’m glad they have competition from more than just AMD and wish all three the best.
Apple may maintain the lead, but it is done by throwing money at TSMC, not by having better technology by themselves. I'd prefer a situation where the TSMC let all of them have some access to the better node sizes as that would let the company with the better tech sell more.
Ask HN: Can competitors catch up to Apple Silicon?
81–90 of 323 posts
Re: Ask HN: Can competitors catch up to Apple Silicon?
#82Earlier quoted context omitted.
How about waiting until the competitors is actually on the same process node size until declaring the x86 baggage to costly? Most of all, Apple is currently in the lead because they threw money on TSMC to get a virtual monopoly on the smallest node size. How much of that which will remain once the competitors are comparable is an unknown at this point.
Comparing currently available CPUs on the market is pretty fair.
Like we just don’t know how much node size alone matters in the picture (or in the analogy, whether the improvement is only due to the bigger capacity battery vs better energy management at other places)
Re: Ask HN: Can competitors catch up to Apple Silicon?
#83Re: Ask HN: Can competitors catch up to Apple Silicon?
#84Earlier quoted context omitted.
How about waiting until the competitors is actually on the same process node size until declaring the x86 baggage to costly? Most of all, Apple is currently in the lead because they threw money on TSMC to get a virtual monopoly on the smallest node size. How much of that which will remain once the competitors are comparable is an unknown at this point.
Comparing currently available CPUs on the market is pretty fair.
In a few months we will have both AMD and Apple on the same size, so we will finally get some idea of how the baggage compare then. It won't be a long situation, Apple will relatively soon after release a new on a smaller size again.
Re: Ask HN: Can competitors catch up to Apple Silicon?
#85I think if x86 get rid of their legacy instructions, they could reduce their core size, and a few side effects will be performance per watt gains and maybe also performance (smaller cores), and if you need the legacy instructions you could just emulate, most consumer PCs don't need those. That's the biggest difference with x86 and ARM, ARM got a lot of breaking changes with their versions, while x86 don't (I'm not su…
> I think if x86 get rid of their legacy instructions, they could reduce their core size Aren't those legacy instructions already emulated in microcode? I don't think they take up much physical footprint.
[0] Let me stop you right there before you suggest I recompile 15 years of operating systems, third party toolchains, and internal tools for ARM and then rebuild every intermediate container just so we can work around Rosetta shipping without necessary features. I know that you can ship a whole parallel stack of containers with ARM but that's not feasible in the slightest for anything but the most trivial use cases or entirely greenfield projects.
Re: Ask HN: Can competitors catch up to Apple Silicon?
#86Yes, but the reasons are to do with business and investment as much as technology. Apple utterly dominates the mobile phone CPU landscape, and it’s hard to see that changing. The reason is that they capture a huge slice of the profits in mobile phones. Something like 90%. For a while they capture over 100% of profits, because so many of their competitors were operating at a loss. This enables them to make investments…
> Apple utterly dominates the mobile phone CPU landscape, That seems to be an interesting definition of "dominates". 14% of global smartphones from independents. 24% by Apple's claims. A curious kind of domination.
Exactly right! It always amazes me to see the bubble some people here live in (and that's the best possible interpretation of these sort of comments; the worst is that it's a coordinated/paid astroturf attempt) We just spec'd several new computers here and they're all Xeon/NVidia. Nothing else can meet our needs.
Re: Ask HN: Can competitors catch up to Apple Silicon?
#87> achieves 87% of the performance of the Intel 12900K and Nvidia RTX 3090 combined This sounds insane (not in a good way). A 3090 destroys M1 Ultra in tasks like machine learning, 3090 being 5x-10x faster than the M1 Ultra.
Re: Ask HN: Can competitors catch up to Apple Silicon?
#88Considering that no one with an apple M1 chip is gaming or training ML with it, I'm not even sure what it means that these are supposedly better. What are people even using the extra performance for? Keeping thousands of tabs open simultaneously?
Re: Ask HN: Can competitors catch up to Apple Silicon?
#89Earlier quoted context omitted.
And M2 benchmarks aren't even out yet. The topic will be yet more interesting in the coming months.
They are absolutely out, because the M2 MBP is publicly available. https://browser.geekbench.com/v5/cpu/15482594
Re: Ask HN: Can competitors catch up to Apple Silicon?
#90For many years, AMD GPUs were cheaper and equally or more performant than NVIDIA GPUs. Did that stop NVIDIAs lead in AI training? No, software support is the key component. It's the same with Apple's M1. I don't know anyone who is using it. People need obscure x64 instructions and CUDA. And that means you buy AMD CPU + NVIDIA GPU as the cheapest high-performance combination. Also, I expect that the 5nm process is res…
Software changes much faster these days. We are all dealing with high abstraction layers and legacy x86/64 and even CUDA can be replaced without much disruption in most cases. If it’s proven that Apple can consistently provide better performance per watt per dollar and have enough chips available that people can actually buy, I think they can stand a chance to gain the AI market.
Tell that to AMD who's been missing out on the very lucrative government data-center market because they can't replace CUDA well enough. BTW, PyTorch and TensorFlow still ship without AMD support despite AMD's ROCm being around for 6 years now.