Interesting how Apple is charging for any technical improvement. Remember the days when computers got faster at the same price point?
Why?
It is obvious that an eGPU can be massively faster if you spend the money, even at x4.Dude, the Vega gpu just showed up.
At the very least if you want the Vega, hold off buying it for a bit until there is some feedback on if these issues are still present.
Sooo, prospects on updating non-Pro iMac should be...? Off-thread? No. If they can do this in laptop, finding the sweetspot in iMac should be great! 6-core, Radeon Pro Vega 56, cap memory at 64GB. And currently the largest SSD is 512GB, less than MBP. I love the portability of a laptop, but I need power. I don't love iMac Pro prices. Again, #sweetspot
There has been a lot of back and forth about eGPU's with the new mac mini. But, do they perform the same as internal GPU's, or is there a performance hit?
Although it is anecdotal, reviews on apple store are mixed as to them working.
Does anyone have useful experience with eGPU that can share?
Your signature says you got the 1TB option, rather than the 4TB, which is the "maxed out" model; with RAID'd 2x2TB SSD.
*cough* Nvidia *cough*
Interesting how Apple is charging for any technical improvement. Remember the days when computers got faster at the same price point?
Sure, OK. But which is the current best external GPU? And what are the benchmark figures like for each?
Maybe Apple does power management like Kaby Lake G.if Apple offer the same internal design (as i expect) this will be a hot very hot laptop and i would not recommend this since these vega are still on 14nm
But they both share two ports from one controller (hence my two LG 5K's have to be in each side of my 15MBP), so how do they achieve four eGPU's working at full speed then?You're best going to eGPU.io if you want to know what's the best eGPU. I'd hazard a guess (for MacOS at least) is the AMD Vega 64. Both the MacBook Pro and Mac Mini (in theory) support up to 4 external GPUs, via the 4 Thunderbolt 3 ports. So the question really is, how much are you willing to spend?
https://egpu.io
For the professional market, lack of Nvidia support is a dealbreaker. Hence why an unprecedented number of Mac users have moved to Windows.Yeah, Nvidia makes me cough indeed. And hurl, on MacOS.
Nvidia drivers for MacOS have always been garbage compared to AMD GPU drivers. I'm so thrilled Apple has finally stopped selling Macs with Nvidia and is sticking with Radeon.
But they have CUDA cores. That makes a huge difference for the pro market.Nvidia doesn't have any better options with similar wattage. And they certainly don't have mid-range GPUs with HBM2...
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The Mini + external GPU is going to be much faster obviously.
AMD gives you more compute power for your money.For the professional market, lack of Nvidia support is a dealbreaker. Hence why an unprecedented number of Mac users have moved to Windows.
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But they have CUDA cores. That makes a huge difference for the pro market.
If everyone puts off buying it then there will be no feedback.![]()
lol! You forgot the brand of memory, haha!Jesus Christ semantics police in this forum. I even opened MacTracker to make sure I indicate exactly what iMac GPU I had because I knew for a fact the people on this forum would call me out for not adding the X in M395 or some **** like that.
I own a $4,000 MacBook Pro, I don't consider SSDs to be maxed out I"m talking about Core i9 and 32GB of RAM.
Edit: thanks for the reminder, added the new iPad to my signature.
That doesn't mean diddly when it comes to software that needs CUDA enabled GPUs, such as Premiere, Octane, Redshift et alAMD gives you more compute power for your money.
At least they are updating chips in-cycle for new buyers.
I imagine people who bought in July are not pleased....
And not everybody is locked in to CUDA.That doesn't mean diddly when it comes to software that needs CUDA enabled GPUs, such as Premiere, Octane, Redshift et al
True but if Apple really cared about their pro market, they would at least officially support it.And not everybody is locked in to CUDA.