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so you grabbed a bunch of high-end computers and made them work to one operating system and one computer screen?

I guess FluJunkie used a cluster at some scientific facility. The point he was making was just that there are computers with 1TB of RAM. In this case most of the nodes were probably equipped like that.
 
I guess FluJunkie used a cluster at some scientific facility. The point he was making was just that there are computers with 1TB of RAM. In this case most of the nodes were probably equipped like that.

so each node had 1TB of RAM? or does the RAM from all the machines total to 1TB of ram?
 
Well, whenever the new Mac Pro gets released, you can probably do something like this with it:

128GB RAM, 16 cores/32 threads. The CPU's are Intel E5-2690.

Image


Awesome, I am waiting for the next Mac Pro to come out and look just like your Hackintosh Beast! That looks quite cool man, too cool! :cool:


:apple::apple::apple:
 
so how many nodes do you have?

I guess FluJunkie used a cluster at some scientific facility. The point he was making was just that there are computers with 1TB of RAM. In this case most of the nodes were probably equipped like that.

Unfortunately I don't work at that kind of a scientific facility. I just have the hardware you can see in my sig – and some knowledge about clusters. ;)
 
I dont quite understand why the apparent limitation of RAM is 96GB. When snow leopard was released apple said it supports up to 16 terabytes of RAM.
 
I dont quite understand why the apparent limitation of RAM is 96GB. When snow leopard was released apple said it supports up to 16 terabytes of RAM.

I don't think there's a 96GB limit in Lion. It supports up to 16TB of RAM just as SL did since it's a 64-bit OS, too; thus, it can address vast amounts (=16TB) of RAM.
 
I don't think there's a 96GB limit in Lion. It supports up to 16TB of RAM just as SL did since it's a 64-bit OS, too; thus, it can address vast amounts (=16TB) of RAM.

Yeh exactly but people keep saying that the Mac Pros can not support over 96GB due to a software limitation
 
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Yeh exactly but people keep saying that the Mac Pros can support over 96GB due to a software limitation

Hm, ok, there might be a firmware limitation in the Mac Pros. Looking at the OP's build we can clearly see that on his hardware Lion recognizes over 96GB of RAM, so my guess is the Mac Pro's firmware being the limiting factor, which is a bummer.

EDIT: I just did some research: If you put 128GB of RAM into a Mac Pro, it would display those correctly in "About this Mac". The point is that it still only utilizes 96GB, which one can see in the Activity Monitor.
That's much like the 3GB/6GB limitations in some older iMacs/MacBooks.
 
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Hm, ok, there might be a firmware limitation in the Mac Pros. Looking at the OP's build we can clearly see that on his hardware Lion recognizes over 96GB of RAM, so my guess is the Mac Pro's firmware being the limiting factor, which is a bummer.

Must be the reason. Kind of annoying, especially for the people who would need more.
 
Wow, and what are cluster nodes?

so you grabbed a bunch of high-end computers and made them work to one operating system and one computer screen?

More you grab a bunch of high-end computers, leash them together, and make them all work in tandem. So rather than needing to wait for your computer to finish a job, you can sent it out to ten machines and say "Hollar when you all are done."

Or in this case, offload a *very* memory intensive task onto an extremely high memory machine.


I guess FluJunkie used a cluster at some scientific facility. The point he was making was just that there are computers with 1TB of RAM. In this case most of the nodes were probably equipped like that.

Got it in one.

so each node had 1TB of RAM? or does the RAM from all the machines total to 1TB of ram?

Two or three of the nodes each have 1 TB of RAM. Then there's several hundred nodes with less RAM for lower memory tasks - each of those have 48 or 96 GB.

so how many nodes do you have?

As noted above, somewhere in between 500 and 1000. Shared between a large number of researchers running several thousand jobs in parallel.
 
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