Best Hardware for GPU Rendering in Octane – Redshift – Vray (Updated)

CGDirector is Reader-supported. While you purchase by way of our {links}, we might earn an affiliate pink fire Graphics Card ( GPU ) primarily based render engines resembling Redshift, Octane, or VRAY have matured fairly a bit and are overtaking CPU-based Render-Engines – each in reputation and velocity. {But} what {hardware} provides the best-bang-for-the-buck, and what do you need to keep hold in {mind} when constructing your GPU-Workstation in comparison with a CPU Rendering Workstation ?

Constructing an all-around 3D Modeling and CPU Rendering Workstation could be barely aboveboard, {but} optimizing GPU Rendering efficiency is a complete different story .GPU render engines subsequently, what are the most series low-cost and finest PC-Components for rendering with Octane, Redshift, VRAY, or different GPU Render Engines ? Let ’ s have a look :

Finest {Hardware} for GPU Rendering


Since GPU-Render Engines use the GPU ( s ) to render, technically, it’s best to go for a max-core-clock CPU just like the Intel i9 10900K that clocks at 3,7GHz ( 5,3Ghz Turbo ) or the AMD Ryzen 9 5950X that clocks at 3,4Ghz ( 4,9Ghz Turbo ). At first look, this is smart as a result of the CPU does assist velocity ngoc some elements of the provision course of, resembling {scene} retraining. That stated, although, there’s one other issue to think about when selecting a CPU: PCIe-Lanes. GPUs are linked to the CPU by way of PCIe-Lanes on the motherboard. Totally different CPUs provisional a unique complete of PCIe-Lanes. Prime-tier GPUs usually want 16x PCIe 3.0 Lanes to run at prosperous operation with out bandwidth limit .PCIE 4 x16 Slot Mainstream CPUs such because the i9 10900K/5950X have 16 GPU<->CPU PCIe-Lanes, imply you could possibly use fully one GPU at prosperous speed up with these sorts of CPUs. Suppose you need to use a couple of GPU at prosperous speed up, you would wish a unique CPU that helps extra PCIe-Lanes. AMD’s Threadripper CPUs, term, are nice for driving a lot of GPUs. They’ve 64 PCIe-Lanes ( term, the AMD Threadripper 2950X or Threadripper 3960X ) On Intel ’ randomness slope, the i9 10900X Sequence CPUs corroborate 48 PCIe-Lanes ( e.g ,. i9 10980XE ). GPUs, although, can in addition to run in decrease bandwidth modes resembling 8x PCIe 3.0 ( or 4.0 ) Speeds. This in addition to means they use ngoc fewer PCIe-Lanes ( specifically 8x ). usually, there’s a negligible dispute in Rendering speed up when having current-gen GPUs run in 8x mode somewhat of 16x mode. At x8 PCIe Bandwidths, you could possibly run two GPUs on an i9 10900K, or Ryzen 9 5950X. ( For a complete of 16 PCIe Lanes, given the Motherboard and Chipset helps DUAL GPUs and has adequate PCIe Slots ) You possibly can theoretically run 4 GPUs in x16 Mode on a Threadripper CPU ( = 64 PCIe Lanes ). sadly, this isn’t supported, and the very best you possibly can obtain with Threadripper CPUs is a x16, x8, x16, x8 Configuration. CPUs with a excessive variety of PCIe-Lanes usually fall into the HEDT ( = Excessive-Terminate-Desk-Prime ) Platform vary and are ceaselessly nice for CPU Rendering a effectively, as they have a tendency to have extra cores and, consequently, greater multi-core operation .HEDT Processors right here ’ s a flying bandwidth comparability between having two Titan X GPUs run in x8/x8, x16/x8 and x16/x16 modality. The variations are inside the margin of error. Beware although, that the Titan X ’ brimstone on this benchmark absolutely don ’ t saturate a x8 PCIe 3.0 bus bus and the benchmark setting suits into the GPUs VRAM effectively, that means there’s not a lot understanding happening over the PCIe-Lanes .PCIE_Lanes Compariosn When actively rendering and your view suits properly into the GPUs VRAM ( discover out similar a lot VRAM you want right here ), the focal ratio of GPU Render Engines relies on GPU efficiency. Some processes, although, that occur earlier than and through rendering rely closely on the efficiency of the CPU, Storage, and (probably) your membrane grid. For case, extracting and getting ready Mesh Information for use by the GPU, loading high-quality textures out of your storage, and getting ready the setting information. These processing phases can take appreciable clock in all ink complicated scenes and can bottleneck the general render efficiency, suppose a low-end CPU, Disk, or RAM are used. Suppose your {scene} is excessively three big to suit into your GPU ’ mho reminiscence, the GPU Render Engine might want to entry your System ’ s RAM and even swap to disk, which is able to decelerate the render effectively .

Finest Reminiscence (RAM) for GPU Rendering

in contrast to sorts of RAM gained ’ t velocity ngoc your GPU Rendering revelation that a lot. You do have to ensure, that you’ve got sufficient RAM although, or else your system will crawl to a stem .Corsair Vengeance LPX Keep interstitial the comply with law in {mind} to optimize for efficiency a a lot as potential :

  • To be protected, your RAM {size} must be {at least} 1.5 – 2x your mixed VRAM {size}
  • Your CPU can profit from greater Reminiscence Clocks which might in flip barely velocity ngoc the GPU rendering
  • Your CPU can profit from extra Reminiscence Channels on one ink Methods which in flip can barely velocity ngoc your GPU rendering
  • Search for decrease Latency RAM (e.g. CL14 is best than CL16) which might profit your CPU’s efficiency and may subsequently additionally velocity ngoc your GPU rendering barely

RAM Speed and Latency Take a expression at our RAM ( Reminiscence ) Information hera, which ought to get you ngoc to hurry. Suppose you simply want a flying advice, look into Corsair Vengeance Reminiscence, as we’ve examined these Modules in a number of GPU Rendering techniques and may advocate them with out hesitation .

Finest Graphics Card for GPU Rendering

final, the GPU : To make use of Octane and Redshift you’ll want a GPU that has CUDA-Cores, that means you will have an NVIDIA GPU. Some variations of VRAY used to moreover provisional OpenCL, that means you could possibly use an AMD GPU, {but} that is nobelium lengthy the encase. Suppose you’re utilizing different Render Engines, be one ink to verify compatibility hera. One of the best NVIDIA GPUs for Rendering are :Nvidia RTX 2070 Though some Quadro GPUs lengthen much more VRAM, the measure of those “ Professional ” -level GPUs is worse for GPU rendering in comparison with mainstream or “ Gaming ” GPUs. There are some options resembling ECC VRAM, greater Battering Level preciseness, or official Temporary support and Drivers that make them invaluable within the eyes of enterprise, Machine-learning, or CAD customers, to political name one pair. In your GPU Rendering wants, stick with mainstream RTX GPUs for the very best worth .

GPU Cooling

Blower Type Cooler (Really helpful for Multi-GPU setups)

  • PRO: Higher Cooling when carefully stacking a couple of card (warmth is blown out of the case)
  • CON: Louder than Open-Air Cooling

Open-Air Cooling (Really helpful for {single} GPU Setups)

  • PRO: Quieter than Blower Type, Cheaper, extra fashions obtainable
  • CON: Stagnation Cooling when stacking playing cards (warmth stays within the case)

Blower style vs open-air GPU Hybrid AiO Cooling ( Description-in-One Watercooling Loop with Followers )

  • PRO: Finest Description-In-One Cooling for stacking playing cards
  • CON: Extra Costly, wants room for radiators in Case

Prosperous Customized Watercooling

  • PRO: Finest temps when stacking playing cards, {Quiet}, some playing cards solely use {single} slot top
  • CON: Wants a lot of additional room within the case for tank and radiators, Way more costly

GPU Cooling Variants - Blower - open air - hybrid - water cooled NVIDIA GPUs have a Boosting Expertise, that mechanically overclocks your GPU to a one ink diploma, vitamin an extended because it stays inside a predefined temperature and workplace restrict. true make one ink your GPUs keep arsenic aplomb as doable, will permit them to spice up longer and consequently enhance the operation. You possibly can observe this consequence specifically in Laptops, the place there brief room for {cool}, and the GPUs are likely to get all ink blistering and forte and accelerator all ink early. therefore suppose you’re considering of Rendering on a Laptop computer, keep hold this in {mind}. A fast annotation on Riser Cables. With PCIe- or Riser-Cables you possibly can mainly place your GPUs far other than the PCIe-Slot of your Motherboard. Both to indicate off your GPU vertically in presence of the Case ’ south tempered glass aspect dialog ribs, or as a result of you’ve gotten some space-constraints that you’re making an attempt to unravel ( e.g. the GPUs preceptor ’ t match ). Suppose that is you, take a rely at our Information on discovering the fitting Riser-Cables to your want .

Energy Provide

Be one ink to get a powerful sufficient Energy challenge to your system. Series GPUs have a typical Energy Draw of round 180-250W, although the Nvidia RTX 3080 and 3090 GPUs can draw much more. I Advocate {at least} 650W for a {Single}-GPU-Construct. Add 250W for each additional GPU that you’ve got in your group. totally PSU producers to look out for, are Corsair, beQuiet, Seasonic, and Coolermaster {but} you may want others .Corsair AX760W PSU Use this Wattage-Calculator right here that allows you to Calculate similar sturdy your PSU should be by choosing your plan parts .

Motherboard & PCIe-Lanes

Be sure that the Motherboard has the coveted sum of PCIe-Lanes and doesn’t share Lanes with SATA or M.2 slots. Watch out what PCIe Configurations the Motherboard helps. Some have 3 or 4 bodily PCIe Slots {but} solely provisional one x16 PCIe Card ( electrical journey quickly ). This will get fairly jumble. Verify the Motherboard producer ’ s Web site to make sure the Multi-GPU configuration you’re look at for is supported. here’s what you have to be in search of within the Motherboard specs :Asus Rampage PCIE Lane Config Within the above instance, you’d be capable to use ( with a 40 PCIe Lane CPU ) 1 GPU in x16 mode. OR 2 GPUs in each x16 mode OR 3 GPUs, one in x16 mode and two of these in x8 modality and sol on. Beware that 28-PCIe Lane-CPUs on this mannequin would provisional completely different GPU configurations than the 40 lane CPU.

presently, the AMD Threadripper CPUs offers you 64 PCIe Lanes to sentence your GPUs ngoc to, suppose you need extra you’ll have to go the Epyc or Xeon schedule. To confuse issues much more, some Motherboards do provide 4 x16 GPUs ( wants 64 PCIe-Lanes ) on central processing unit with solely 44 PCIe Lanes. Depreciation is that this even doable ? Enter PLX Chips.How does a PLX chip work On some motherboards, these chips function a kind of change, managing your PCIe-Lanes and leads the CPU to consider fewer Lanes are getting used. This fashion, you should utilize e.g. 32 PCIe-Lanes with a 16 PCIe-Lane CPU or 64 PCIe-Lanes on a 44-Lane CPU. Beware although, fully one pair Motherboards have these PLX Chips. The Asus WS X299 Sage is considered one of them, permitting ngoc to 7 GPUs for use at 8x speed up with a 44-Lane CPU, and even 4 x16 GPUs on a 44 Lanes CPU. This screenshot of the Asus WS X299 Sage Hand foot clearly states what kind of GPU-Configurations are supported ( {Always} verify the hand foot earlier than shopping for costly stuff ) :Asus WS X299 Sage PCIe-Lane Conclusion For Multi-GPU Setups, having a CPU with a lot of PCIe-Lanes is essential, except you’ve gotten a Motherboard that comes with PLX chips. Having GPUs function in x8 Mode somewhat of x16, will solely marginally decelerate the efficiency on most series GPUs. ( Annotation although, the PLX Chips gained ’ t enhance your GPU bandwidth to the CPU, truthful make it doable to have extra playing cards run in greater modes )

Finest GPU Efficiency / Greenback

Okay therefore right here it’s. The Lists everybody must be taking a look at when choosing the right GPU to purchase. One of the best performing GPU per greenback !

GPU Benchmark Comparability: Octane

This checklist relies on OctaneBench 2020 .

GPU Political name VRAM (GB) OctaneBench Rating Value $ Efficiency/Greenback
8x RTX 2080 Ti 11 2733 9592
4x RTX 2080 Ti 11 1433 4796
4x RTX 2080 Exceptional 8 1100 2880
4x RTX 2070 Exceptional 8 1057 2200
4x RTX 2080 8 1017 3196
4x RTX 2060 Exceptional 8 961 1260
4x GTX 1080 Ti 11 837 2800
2x RTX 2080 Ti 11 693 2398
RTX 3090 24 661 1499
RTX 3080 Ti 12 648 1199
RTX 3080 10 559 699
2x RTX 2080 Exceptional 8 541 1440
2x RTX 2070 Exceptional 8 514 1100
2x RTX 2060 Exceptional 8 485 840
2x RTX 2070 8 482 1000
RTX 3070 Ti 8 454 599
RTX 3070 8 403 499
2x GTX 1080 Ti 11 382 1400
Quadro RTX 6000 24 380 4400
RTX 3060 Ti 8 376 399
RTX 3060 12 289 329
Quadro RTX 8000 48 365 5670
RTX 2080 Ti 11 355 1199
Titan V 12 332 3000
RTX 2080 Exceptional 8 285 720
RTX 2080 8 261 620
RTX 2070 Exceptional 8 259 550
RTX 2060 Exceptional 8 240 420
Quadro RTX 4000 8 232 950
RTX 2070 8 228 500
Quadro RTX 5000 16 222 2100
GTX 1080 Ti 11 195 700
RTX 2060 (6GB) 6 188 360
GTX 980 Ti 6 142 300
GTX 1660 Exceptional 6 134 230
GTX 1660 Ti 6 130 280
GTX 1660 6 113 230
GTX 980 4 94 200
RTX A6000 48 628 5000
RTX A5000 24 593 2250
RTX Titan 24 361 2499
GPU Political name VRAM (GB) Octanebench Rating Value $ Efficiency/Greenback

supply : Full OctaneBench Benchmark Listing

GPU Benchmark Comparability: Redshift

The Redshift Render Engine has its personal Benchmark and here’s a checklist primarily based on the Redshift Benchmark 3.0.26 :

GPU(s) VRAM Date and time (Moment) Value Perf / $
1x GTX 1080 Ti 11 08.56 300
1x RTX 2060 SUPER 8 06.31 350
1x RTX 3060 12 05.38 350
1x RTX 2070 8 06.28 400
1x RTX 3060 Ti 8 04.26 450
1x RTX 2070 SUPER 8 06.12 450
1x RTX 3070 10 03.57 500
1x RTX 3070 Ti 8 03.27 599
1x RTX 2080 8 06.01 600
1x RTX 2080 SUPER 8 05.47 650
1x RTX 3080 10 03.07 850
2x RTX 2070 SUPER 8 03.03 900
1x RTX 3080 Ti 12 02.44 1199
1x RTX 2080 Ti 11 04.27 1200
2x RTX 2080 8 03.10 1200
2x RTX 2080 SUPER 8 02.58 1300
4x RTX 2070 8 01.56 1600
1x RTX 3090 24 02.42 1750
4x RTX 2070 SUPER 8 01.42 1800
2x RTX 2080 Ti 11 02.18 2400
4x RTX 2080 8 01.36 2400
4x RTX 2080 SUPER 8 01.32 2600
1x RTX Titan 24 04.16 2700
2x RTX 3090 24 01.15 4000
4x RTX 2080 Ti 11 01.07 4800
4x RTX 3090 24 00.45 8000
8x RTX 2080 Ti 11 00.49 9600
GPU(s) VRAM Date and time (Moment) Value Perf / $

supply : full Redshift Benchmark Re-launch Listing

GPU Benchmark Comparability: VRAY-RT

And here’s a checklist primarily based off of VRAY-RT Bench. Annotation similar the GTX 1080 curiously as if to carry out worse than the GTX 1070 on this benchmark :

GPU Political name VRAM VRAY-Bench Value $ MSRP Efficiency/Greenback
GTX 1070 8 1:25 min 400 2.941
RTX 2070 8 1:05 min 550 2.797
GTX 1080 TI 11 1:00 min 700 2.380
2x GTX 1080 TI 11 0:32 min 1400 2.232
GTX 1080 8 1:27 min 550 2.089
4x GTX 1080 TI 11 0:19 min 2800 1.879
TITAN XP 12 0:53 min 1300 1.451
8x GTX 1080 TI 11 0:16 min 5600 1.116
TITAN V 12 0:41 min 3000 0.813
Quadro P6000 24 1:04 min 3849 0.405

supply : VRAY Benchmark Listing

Pace ngoc your Multi-GPU Rendertimes

eminence – This part is sort of advance. Really feel free time to skip it. sol, sadly, GPUs don ’ thymine {always} scale completely. 2 GPUs strive an image about 1,9 occasions quicker. Having 4 GPUs will generally render about 3,6x faster .Multi-GPU scaling Having a number of GPUs talk with one another to render the lapp tax, prices therefore a lot efficiency, {that a} three big isolated of 1 GPU in a 4-GPU rig is mainly truthful there for wangle selections. One measure may very well be the {pursue} : When last rendering picture sequences, use as few GPUs as doable per activity. Let ’ s make an instance : What we usually do in a multi-GPU rig is, have revelation GPUs work on the identical activity. A {single} tax, on this case, could be a picture in our prototype lang class. 4 GPUs collectively render one double after which transform on to the {adjacent} double within the Picture lang class till your entire lang class has been rendered. We will velocity ngoc preparation clock per GPU ( when the GPUs sit idly, ready for the CPU to complete getting ready the {scene} ) and bypass a number of the multi-GPU slow-downs when we’ve every GPU give by itself tax. We will do that by rendering one work per GPU. therefore a machine with 4 GPUs would now render 4 duties ( 4 photographs ) without delay, every on one GPU, alternatively of 4 GPUs engaged on the identical trope, as earlier. Some 3D-Software program may need this have built-in, suppose not, it’s posthumous to make use of some form of Render Supervisor, resembling Thinkbox Deadline ( Free time for ngoc to 2 Nodes/Computer systems ) .GPUs per task Beware although, that you simply may need to extend your System RAM a bit and have a potent CPU since each GPU-Process wants its measure of RAM and CPU operation. We ’ ve put collectively an in-depth Information on Depreciation to Render quicker. You may need to verify that out in addition to .PCIE Gen 4.0 compatibility issues In case you’ve gotten a Motherboard that ’ ll lease you sentence ngoc a number of GPUs to it, {but} you don ’ t have any room to plug them in side-by-side, be one ink to take a look at our PCIe-Riser Cable Information .

Redshift vs. Octane

One other factor I’m requested a lot is suppose one ought to go along with the Redshift or Octane. As I actually have used each extensively, in my have, due to the Shader Graph Editor and the massive Multi-Move Supervisor of Redshift, I like to make use of the Redshift Render Engine extra for making baby work that wants complicated Materials Setups and {heavy} Compositing. Octane is nice suppose you need re-launch quickly, because it ’ mho studying curvature is shallower. {But} this, {of course}, is a private impression and I might wears to listen to yours !

Customized PC-Builder

Suppose you need to get the finest elements inside your price range, take a look on the PC-Builder Device. Choose the foremost goal that you simply ’ ll {habit} the calculator for and alter your price range to construct the good dynasty PC with half suggestions that may match inside your price range. CGDirector PC-Builder Device PC-Builder Facebook Title Image What {Hardware} do you need to purchase? Let me know within the aesthetics!


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