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GPU Compute render perf review with 20 GPUs
Posted by: on: 02/27/2020 01:02 PM [
53 comment(s) ]
We will not peek at game performance with graphics cards for a change, instead, we'll be firing of three GPGPU render compute solutions to see how they react towards the twenty graphics cards we fire off at them. What's the best GPU to use for GPU assisted content rendering?
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nizzen
Senior Member
Posts: 2241
Senior Member
Posts: 2241
Posted on: 02/27/2020 04:38 PM
As far as I know NVlink on "gaming" RTX cards has smaller bandwith than on Quadro, but it does share memory between two cards (Quadro can share up to 3 cards, if i remember correctly).
Taken from Chaosgroup article:
"...new RTX cards also support NVLink, which gives V-Ray GPU the ability to share the memory between two GPUs..."
Acording to their tests it had some impact on rendering speed (with NVlink a bit slower then without), but it enabled them to render some scenes which needed more memory.
More info is here: https://www.chaosgroup.com/blog/profiling-the-nvidia-rtx-cards
Nice! This is great news! Thanx for the link
Too bad there is no "sharing" for nvlink sli in games. Aka two cards working as one unit. Double the cudacores and double the vram.
As far as I know NVlink on "gaming" RTX cards has smaller bandwith than on Quadro, but it does share memory between two cards (Quadro can share up to 3 cards, if i remember correctly).
Taken from Chaosgroup article:
"...new RTX cards also support NVLink, which gives V-Ray GPU the ability to share the memory between two GPUs..."
Acording to their tests it had some impact on rendering speed (with NVlink a bit slower then without), but it enabled them to render some scenes which needed more memory.
More info is here: https://www.chaosgroup.com/blog/profiling-the-nvidia-rtx-cards
Nice! This is great news! Thanx for the link
Too bad there is no "sharing" for nvlink sli in games. Aka two cards working as one unit. Double the cudacores and double the vram.
mbk1969
Senior Member
Posts: 13136
Senior Member
Posts: 13136
Posted on: 02/27/2020 04:40 PM
@Hilbert Hagedoorn
A typo (I guess)
CUDA, however, is a closed API only to be used with GeForce graphics cards as NVIDIA believes they can get 'closer' to the hardware with their own APU, and thus squeeze out more performance.
The abbreviation marked with bold font should be "API".
@Hilbert Hagedoorn
A typo (I guess)
CUDA, however, is a closed API only to be used with GeForce graphics cards as NVIDIA believes they can get 'closer' to the hardware with their own APU, and thus squeeze out more performance.
The abbreviation marked with bold font should be "API".
kakiharaFRS
Senior Member
Posts: 925
Senior Member
Posts: 925
Posted on: 02/27/2020 04:41 PM
I guess that like in (some) gaming, gpus need faster clock speeds for I/O between gpu and cpu or something...
Interesting that AMD cards are really good for mining crypto, but not for boosting rendering speed. Not all GPU compute is the same, clearly.
I guess that like in (some) gaming, gpus need faster clock speeds for I/O between gpu and cpu or something...
Caesar
Senior Member
Posts: 1508
Senior Member
Posts: 1508
Posted on: 02/27/2020 05:43 PM
@Hilbert Hagedoorn
A typo (I guess)
The abbreviation marked with bold font should be "API".
i also get
when someone writes internet without "I" capital or hardware/software with "s" in plural form.
The problem , i think
, is with me, as i've learnt a lot during my oracle database module (~20 years ago)..... how to use syllables when creating a 'table' .... and so....
@Hilbert Hagedoorn
A typo (I guess)
The abbreviation marked with bold font should be "API".
i also get
when someone writes internet without "I" capital or hardware/software with "s" in plural form.The problem , i think
, is with me, as i've learnt a lot during my oracle database module (~20 years ago)..... how to use syllables when creating a 'table' .... and so.... pages « 2 3 4 5 > »
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Senior Member
Posts: 7031
AMD wouldn't really benefit a whole lot in supporting CUDA. For one thing, Nvidia designed CUDA for their architecture. It's fine-tuned to a point AMD doesn't have a chance to compete with (AMD is struggling enough with DX, OpenGL, Vulkan, and OpenCL drivers as it is). Except for the few cases where people at home have an AMD GPU and want to run a CUDA-based application, I'm sure AMD will always be a worse choice when it comes to CUDA, simply because it will never be as refined or purpose-built. AMD would just be making themselves look worse by supporting it.
Also, any research teams or corporations who opted for CUDA for in-house software deserves to be trapped in Nvidia's ecosystem. You aren't forced to use CUDA; OpenCL and Vulkan/SPIR-V are options on Nvidia too. CUDA isn't inherently better, it's just a more ideal choice because it's easier to develop in, thanks to Nvidia's abundant and actually helpful resources.
Also, there are translation layers to run CUDA code on non-CUDA hardware. There is some additional overhead, but like I said before, you're not going to outperform Nvidia on CUDA code anyway.
EDIT:
Believe me, the newest Nvidia GPU I have is Kepler based and there is software I've wanted to use that depends on CUDA. But I don't think AMD should be responsible for making CUDA drivers. If developers really want their software to be widely adopted, they shouldn't use CUDA. If developers want flexibility, they shouldn't use CUDA.