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Try diagonalising a 2^N by 2^N matrix with a sufficient precision (e.g. to find the energy spectrum of a [sufficiently badly behaving] quantum physical system of N spin-1/2 particles). With 128GB of RAM you can go up to, say, 16 particles before you run out of memory while doing the computation. With 256GB you can go up to 17 particles. Is crashing your software and not getting results vs. not crashing and finishing a computation with an actual result difference enough? ;-)

By the way, even the 256GB maximum on RAM in a 2019 "Pro" workstation is a really bad joke. To get a perspective, our old Mac Pro 5,1, used for numerical computations supports (and has installed) 128GB of RAM. 10 years and $10k spent later, you can actually get something that would beat that ancient hardware... Sigh...

I've never seen a research lab etc running Macs - all the ones I've seen seem to run PCs either with Windows or dedicated bespoke non-OS setups. Just can't see a lab going for Macs, why would they? Genuine question.
 
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I get it, there are always ways to max out RAM usage: you can run 10 VMs instead of 5 simultaneously, or you can have 15 variables in a model instead of 10, or run an optimization algorithm on 10 billion records instead of 5. But at some point, wouldn't 512GB, 1TB, 2TB RAM simply become overkill for processor capabilities, not to mention any limitations imposed by OS? At what amount of ram does the processing power become a bottleneck? You will have to focus all efforts on writing incredibly well threaded apps for marginal returns. For true scalability, not incremental gains, I still think a better architecture money well spent. And yes, of course I'm guilty of generalizing every possible use of RAM in a desktop machine, and also I'm by no means an expert in the field.

Naturally, different uses cases need different configurations. That's why a (reasonably universal) Pro machine should have reasonable expansion/configuration capabilities (like 8 RAM slots in the good old mac pros or 12 slots in xserves). People who don't need that much RAM just leave the slots empty. How difficult is that?
 
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I don't remember the name of the arcade game from the early 80's that every time you did something really stupid and died it would say "Bad Move Space Cadet". That concept probably does apply here. I'd ask what were they thinking but I don't think that they actually were thinking.

//Since it was trying to sound futuristic and computerish it was "BAD mOVE SPACE KAAA DET". The future ain't what it used to be.
 
I use all 16GB of ram on my MBP 90% of the time I use my MBP

Oh, I'm quite sure there are users who use all 16GB. Especially developers or those running VMs. However, I don't believe that the vast majority of MBP users all happen to be running multiple VMs. They just claim they do.
 
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I get it, there are always ways to max out RAM usage: you can run 10 VMs instead of 5 simultaneously, or you can have 15 variables in a model instead of 10, or run an optimization algorithm on 10 billion records instead of 5. But at some point, wouldn't 512GB, 1TB, 2TB RAM simply become overkill for processor capabilities, not to mention any limitations imposed by OS? At what amount of ram does the processing power become a bottleneck? You will have to focus all efforts on writing incredibly well threaded apps for marginal returns. For true scalability, not incremental gains, I still think a better architecture money well spent. And yes, of course I'm guilty of generalizing every possible use of RAM in a desktop machine, and also I'm by no means an expert in the field.
For 3D electromagnetic simulations I have done in the past the amount of memory and speed of memory were the critical bottlenecks. The CPU speed was not as important.
 
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But I've never seen a research lab running Macs - all the ones I've seen seem to run PCs either with Windows or dedicated bespoke non-OS setups. Just can't see a lab going for Macs, why would they? Genuine question.

Simple answer: ease of administration / availability of software
 
But I've never seen a research lab running Macs - all the ones I've seen seem to run PCs either with Windows or dedicated bespoke non-OS setups. Just can't see a lab going for Macs, why would they? Genuine question.

Many many labs run Macs, I don't know where you've been. The reason is a nice desktop interface that has compatibility with Linux/Unix software. Your desktop/laptop is a Mac, the computational servers are Linux via SSH.
 
I'd like to see a benchmark test with actual software like Compressor showing the difference between an iMac with 64GB/128GB of RAM vs. 256 GB of RAM and then show me TWO iMacs with 64GB of RAM networked together doing the same Compressor process across all those cores. It's insane to think about spending double the cost of the computer for RAM. Why not get an iMac with 64 TB of SSD hard drive storage? Dumb. Show me the logical reason why this would be useful to any user, consumer or professional.

So the "if I can't imagine it it must not be reasonable" argument. That's always such a solid foundation to work from.
 
Is anybody legitimately shocked about this reveal? The new lieMac Pro (maxed-out 2019 5K iMac) sales will undoubtedly cannibalize upon the sales of the base tier iMac Pros. Most people who were buying the base-tier iMac Pro were probably only doing so simply because the maxed-out 2017 5K iMac didn't meet their needs. Now, that the lieMac Pro is out, they can get the level of power they need while saving money.

Cost of base-tier iMac Pro:$4,999.00 before taxes.
Cost of maxed-out lieMac Pro, sans the memory upgrade, since OWC's 128 GB option costs the same as Apple's 64 GB upgrade: $4,249.00 before taxes.

True, the Radeon Pro Vega 48 won't be quite as powerful as the Radeon Pro Vega 56, and will be nowhere near as powerful as the Radeon Pro Vega 64/64X, but eGPUs can always swoop in to save the day. So, for every one of the maxed-out lieMac Pros, sans memory upgrades, that are sold by Apple, that's $750 in lost revenue over a base-tier iMac Pro they didn't sell. They've got to recoup these cannibalization costs somehow, hence making the 256 GB iMac Pro option non-upgradeable by third party/user, and charging $5,200.00 for that option.
 
Many many labs run Macs, I don't know where you've been. The reason is a nice desktop interface that has compatibility with Linux/Unix software. Your desktop/laptop is a Mac, the computational servers are Linux via SSH.
In our lab also the computation servers are macs (good old mac pros) - no need to waste tons of time administering different operating systems.
 
If that limit is a problem for you....... you're probably buying the wrong type of computer!
Even 128gb is multiples times a threshold of INSANE for almost any conceivable use.
 
"Possible" and supported are two different things.

From the document, we know an upgrade to 256GB after purchase isn't supported. But that doesn't necessarily mean it isn't possible. Let's see what happens when someone tries it.
 
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Ridiculous. I’m so sick of Apple’s consumer-hostile behavior / products.

Power needs to be given back to the consumer to upgrade their components whenever and however they need. We need the cheesegrater Mac Pro back!

You do have the power. If you really want them to change, don't buy their extremely expensive hardware. Get a Windows or Linux machine and stop giving them your money. Do not trick yourself into thinking you need a Mac to work. You don't. They need us as consumers, not the other way around.
 
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You're not running a server nor are you doing anything serious enough to need server grade memory since you're running OS X!

You're right, I am not running anything with this because I don't own a mac. However I can point you to hospitals and researchers that do indeed use OS X for research and data modeling where this could be useful.

I am not a fan of the mac lineup but you're just acting like a child about this. I guess you don't feel that Linux and/or BSD are useful for "server" things either.
 
Price for the maxed out one, damn....

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