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Just imagine what chip Apple is gonna put into these things. Didn't they say they would be fully transitioned within two years? So this thing will be replaced in the autumn most likely, and probably no later than the next spring if things are delayed? No point in upgrading to this. Chances are if you waited this long and didn't upgrade to the new one a while back, you can wait another year, lol.
 
Even if the tech is amazing, buying an Intel Mac in 2022 seems odd.
If you really need this computer it's probably only a 2 or 3 year investment or lease anyway, which gives Apple time to mature their Apple Silicon game. If one is truly in business, they should buy the best they can afford now. If they can afford to wait, then they probably don't really need it.
 
Why not transition to silicon? Or is it because they haven’t figured out the GPU tech?
Apple is facing a much larger problem than GPU integration or hardware in general. Software support is the problem. While I love the AS SoCs, for most of the scientific world, macOS is almost dead at this point (Intel or AS). When Apple dropped Nvidia we had to start working around problems, with OpenCL. etc. The state of the software world is catastrophic and simply not worth to bother with. Nvidia software won't work, no problem (well, not really but expected and acceptable). Things like Tensorflow, Pytorch, Carla, AirSim, other simulators and frameworks either don't fully work or are a major pain to work with unless one is ok with CPU only support. Apple did a Tensorflow fork a while back. It's bugged, doesn't fully work, it's in a useless state. But what should we expect when Apple is using Linux and Nvidia to train their own AI? Once the research is done, it's easy to convert models to support metal including GPU and Neural Engine for inference. But how does that help the people who have to do research?

At this point (and of course that can change in the future), Apple is really good for reading/writing, browsing the web and emails. In addition, musicians can use it, so can photographers and YouTubers to cut their videos. I do a bit of photo image processing and lightweight video work, but otherwise my Macs have become a tool for lightweight work I could easily do on a MBA/MacMini while I have to use Linux on different hardware to get the heavier workloads done.
 
Can you run bootcamp and Window 10/11 yes, Does it have ECC memory yes, can you have up to 76 threads with up to 38 cores, running at the same time yes, Is there a chip storage for this, NO, How much memory will these support, gobbs of memory. Can they run 24 x 7 for years yes. Could you use a 3080 or 3090 or EGPU box with this yes. Hmm don't see a negative for this processor even for a Mac mini Pro or a Mac mini.
 
New socket = new logic board, which means it might be upgradeable down the line if Apple abandons the Intel version of MP8,1 beyond 2024.

The real question for the Apple Silicon version - what is the GPU situation?
It wont. It's a new socket for this specific chip but it would never be pin compatible with Apple Silicon chips, as the difference is so much and the Apple Silicon is also currently including the GPU in package.
 
Apple is facing a much larger problem than GPU integration or hardware in general. Software support is the problem. While I love the AS SoCs, for most of the scientific world, macOS is almost dead at this point (Intel or AS). When Apple dropped Nvidia we had to start working around problems, with OpenCL. etc. The state of the software world is catastrophic and simply not worth to bother with. Nvidia software won't work, no problem (well, not really but expected and acceptable). Things like Tensorflow, Pytorch, Carla, AirSim, other simulators and frameworks either don't fully work or are a major pain to work with unless one is ok with CPU only support. Apple did a Tensorflow fork a while back. It's bugged, doesn't fully work, it's in a useless state. But what should we expect when Apple is using Linux and Nvidia to train their own AI? Once the research is done, it's easy to convert models to support metal including GPU and Neural Engine for inference. But how does that help the people who have to do research?

At this point (and of course that can change in the future), Apple is really good for reading/writing, browsing the web and emails. In addition, musicians can use it, so can photographers and YouTubers to cut their videos. I do a bit of photo image processing and lightweight video work, but otherwise my Macs have become a tool for lightweight work I could easily do on a MBA/MacMini while I have to use Linux on different hardware to get the heavier workloads done.
That’s a fair point. Windows has a huge leg up in that department and it honestly makes me fe bad for liking the MacOS integration and UI because it’s such a small percentage of people who actually use it for heavy duty stuff and expect everything to run like a dream. Side loading only gets so far when your OS isn’t compatible with half the stuff being put on the market. I didn’t think about it that way, thanks!
 
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Way out of my league, but glad Apple is creating a second gen Intel MP for continuity’s sake. Shows a bit more ongoing commitment to the line than perhaps people have felt in the past…
I think this is more Intel than Apple. Intel has been pushing all their customers to Ice lake because they get more chips per wafer and therefore give them higher yields. I don't know how much Apple had to redesign their motherboard, but it may have come down to having cpus to sell or not having cpus to sell. From a business standpoint a gap of in the availability in the Mac Pro line now, even when an architecture transition is on the horizon, would have really sent the wrong message to the pro community.
 
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"Apple" silicon is good for pads, phones and books, but not for work stations. It doesn't scale up properly.
Funny, that's exactly what "they" said about Apple's A series chips. They are fine for phones and tablets, but can't scale up properly for desktop applications...

This is no different than releasing a couple more PowerPC G5 workstations (like the Quad G5) after the Intel Macs were first announced and shipped.
 
Even if the tech is amazing, buying an Intel Mac in 2022 seems odd.
Still plenty of high-end apps that haven't been transitioned over to Apple Silicon. Still plenty of folks on these machines that need access to run Windows too on their machines.
 
Nah... it just means there are corporate clients who have a continuing commitment to x86 software.
Yeah, so why would they buy a whole new set of PCs when their current ones work just fine? What does someone even DO with all of that power?
 
My guess is, Apple is planning to roughly mirror the transitional steps that they took when they moved from PowerPC to Intel. Those who were paying attention to the market at that time can likely already figure out what I mean, but for those who are younger and/or were less interested in Apple's wares at that time: they basically announced the transition to prepare everyone for what was to come, but they continued releasing (and in some cases, improving upon) products with the previous technology alongside new tech offerings for awhile after that announcement in order to give everyone time to adjust to the new norm, prior to finally shutting down support for the older tech.

And by everyone, I'm not referring to just home users; by necessity we must also account for software/hardware developers, and for corporations with existing investments in the third-party products developed by those developers. Upset the boat at any one of these groups too abruptly, and formerly consistent revenue streams can abruptly start flowing in another direction.
 
Could they somehow ALSO put Apple Silicon in this? 2 processors? It seems like they could maybe do some interesting stuff with that, but I guess it could just overcomplicate things/be unnecessary.
 
I can’t wait to spend $25,000 on a system that will barely outrun the 2022 MacBook Air! /s

In all seriousness, this would be more appealing (especially if released this year) for its ability to run x86 software that hasn’t transitioned, and importantly for some - Windows virtual machines.
Indeed, common benchmarks don’t tell the whole story.
 
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