Graphics processing is different than bandwidth. The eGPU can process the graphics, but how will it send over 60Gbp/s of video data to the MBP? Can you find an example of this actually working?
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Building external GPU's on Mac (eGPU)
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Graphics processing is different than bandwidth. The eGPU can process the graphics, but how will it send over 60Gbp/s of video data to the MBP? Can you find an example of this actually working?
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Yes. 4K is even possible with Thunderbolt 1: https://forums.macrumors.com/threads/mac-mini-4k-tv.1644192/page-3#post-23656730
Yes. 4K is even possible with Thunderbolt 1: https://forums.macrumors.com/threads/mac-mini-4k-tv.1644192/page-3#post-23656730
Unlike you there are many people out there who do care about quality of drivers. For them it really doesn't matter if the OS has the drivers, it is all about working properly (no crashes, no weird behaviour, etc.). Linux users in general do not like the Nvidia drivers, they much rather prefer those from Intel or AMD because unlike Nvidia's they actually work properly. The stability and performance is there. The fact that both Intel and AMD started to care for Linux has also won a lot of people over. The fact that Nvidia keeps on refusing to do a proper job steers people away.
That was exactly my point. AMD and Intel changed course and improved their drivers. Nvidia did nothing. That's the entire issue with Nvidia vs AMD on Linux/UNIX.
That's another reason to be using those. AMD also had better support at the time when it came to multiple displays.
The problem with OpenCL is that it seems to be on the late side. Nvidia had a chance of building a very solid base with CUDA which is now the de facto standard. Now that Apple, Microsoft and AMD have also turned to doing things very different than previously with the GPU and GPGPU support the landscape has changed yet again.
Those are rather different technologies. If you want to compare OpenCL to anything than compare it to CUDA. Both are meant as a tool for GPGPU. Both manufacturers seem to be supporting things like DirectX and OpenGL equally well.
It's not that simple. If you use an eGPU you can only use it for the internal display in macOS if you trick it into thinking something is connected to it. There are special dongles for the GPU that do that (you put them in the HDMI/DisplayPort port). That would imply that part of the data is also being run through the Mac, not just the GPU alone. Perhaps that changes when you run the Mac in clamshell mode (and thus disable the internal display entirely).
Show me a working example of 2X 5K @ 60hz connected to an eGPU and the eGPU connected to a MBP13.
I have an eGPU which I use for gaming and I have an external monitor connected to it. The performance is a lot better than you would expect, largely because the Nvidia driver allows for data compression. But the performance would be a lot worse if I had the game displaying on my MacBook’s screen.
When you have the eGPU connected, go to About This Mac and click on the Displays tab. Then you can see which GPU is driving which monitor.
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I can’t help you there. I haven’t tried that. I don’t know if anyone has. Also, you have to shutdown the Mac before disconnecting the eGPU - to avoid a kernel panic. You also need to reboot for the eGPU to start working.
That is not going to give you any insights as to how the data is flowing between the GPU and the rest of the system that is housed in the notebook. There seems to be the need for a physical connection in order for the eGPU to be activated in macOS no matter if you are going to use the internal display or not. That means that the data isn't going to the displays connected to the eGPU alone, it also seems to be going to the internal display as well. That would mean the data is flowing in 2 directions which impacts the bandwidth of the Thunderbolt connection (display signal is one-way).
Actually, the Mac provides information for the GPU, the GPU works with that information and then displays the result on the screen. A great example is loading a game. The Mac loads the game, sends it over the eGPU, and then pretty much all of the computations are done by the GPU - aside from CPU-dependent graphics settings.
And yet again that wasn't the question. Try reading someones post before replying, it prevents people being annoyed by you.
Not to mention that your example is not even correct. The game is not being send to the eGPU, it's small pieces of data on how to draw the graphics on the display. The thing is that there still is data flowing back and forth between the eGPU and the notebook itself due to that internal display but only if there is a display directly connected to the ports of the GPU in the eGPU case (or rather PCIe box). Your reply provides no answer.
Instead of explaining things as if you are talking to an average consumer you could have pointed out that it might actually be the eGPU not seeing the internal display and the software (which would be things like kernel extensions and such and which need to be patched) not being able to tell the eGPU that there is an internal display.
Not to mention that your example is not even correct. The game is not being send to the eGPU, it's small pieces of data on how to draw the graphics on the display. The thing is that there still is data flowing back and forth between the eGPU and the notebook itself due to that internal display but only if there is a display directly connected to the ports of the GPU in the eGPU case (or rather PCIe box). Your reply provides no answer.
Instead of explaining things as if you are talking to an average consumer you could have pointed out that it might actually be the eGPU not seeing the internal display and the software (which would be things like kernel extensions and such and which need to be patched) not being able to tell the eGPU that there is an internal display.
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It looks like Sapphire are joining the club...
https://www.techpowerup.com/233863/...l-graphics-enclosure-powered-by-thunderbolt-3
https://www.techpowerup.com/233863/...l-graphics-enclosure-powered-by-thunderbolt-3
Well then. I hope the new High Sierra support for eGPUs allows them to work plug and play like the Razer Core. TBH this is the main reason I haven't jumped on board yet.
Reading the dev kit notes, hot-plugging needs to go back to the login screen.
Main pain for me is that it doesn't support accelerating internal screens.
So you mean, you plug in the eGPU, log in again, and you're running? That's awesome!
I don't personally care about accelerating the internal display, but sorry it's an issue for you.
This is TRULY a sensational news day re: eGPU..
Finally the dream of a thin and light MacBook Pro that can be mated up with a single cable to an eGPU for larger screen FCPX and Gaming will be coming true - natively...
Finally the dream of a thin and light MacBook Pro that can be mated up with a single cable to an eGPU for larger screen FCPX and Gaming will be coming true - natively...
I'm very excited by native eGPU support, and the initial beta seems to show good promise, even though I have a TB2 rMBP I'd go out and buy an Apple branded eGPU if it worked exactly how you'd expect it to.
The fact it already seems like it's not just the DevKit eGPU that is supported is great though, hopefully the open nature of support is kept going forward.
The fact it already seems like it's not just the DevKit eGPU that is supported is great though, hopefully the open nature of support is kept going forward.
eGPU in High Sierra also working with Thunderbolt 1/2 Macs: https://forums.macrumors.com/thread...cially-announced.2048480/page-4#post-24660316
I for one am excited about this. They make great products, especially the nitro cards
I wonder if there will be an eGPU that can drive the LG 5K monitor? I suspect it will only power on if connected directly with a Mac with a Thunderbolt 3 port.
Look for upcoming 5K monitors with DisplayPort 1.4.
The point I was trying to make was that A) 1 GPU cannot drive 2 5K monitors simultaneously AFAIK, and B) the Thunderbolt bus on a single port or controller may not be able to fully support running 2 eGPUs at once, due to a lack of bandwidth.
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I think that you meant CUDA for Nvidia. OpenCL was derived from OpenGL, to be used for mathematics instead of graphics.