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I am planning to build a new workstation which will use softwares like Adobe Premiere Pro, After Effects, Cinema 4D, Blender and Davincci Resolve.

(I use different softwares for same purpose like video editing because I collaborate with different teams and they use different softwares)

I am wondering which config can best help with my workflow, multiple low-to-mid-range GPUs (e.g. 4 x 1050ti) or a single high-end GPU (e.g. single 1080ti) which both of them cost similar?

Because multiple GPUs (even if they are lower-end ones) should provide more cores than a single high-end one but a high-end one have relatively higher clock speed.

 

Note 1: It won't be used as gaming rig

Note 2: Multiple GPU does not refer to SLI, so low-end GPUs does not support SLI won't be a problem

Note 3: Considerations such as render time, power consumption, compatibility (Scalability can also be discussed but I don't think I will be adding more GPUs to it for both config)

 

Best solution would be building the two systems and do some testing. But maybe... only the LTT group has the hardwares and interest of doing that? ;););) 

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https://linustechtips.com/topic/933443-multiple-gpu-vs-single-gpu-for-workstation/
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A single beefy card of course.

 

The price per CUDA core with small cards are higher than big cards. You need 5 1050ti ($190 each) to have slighly more cores than a 1080ti ($800 each), while the cost is about 25% higher. You will also occupy all your PCIe slots available.

 

If your apps can use multi-GPU rendering, go for the 1070ti. If it cannot, get the 1080ti

CPU: i7-2600K 4751MHz 1.44V (software) --> 1.47V at the back of the socket Motherboard: Asrock Z77 Extreme4 (BCLK: 103.3MHz) CPU Cooler: Noctua NH-D15 RAM: Adata XPG 2x8GB DDR3 (XMP: 2133MHz 10-11-11-30 CR2, custom: 2203MHz 10-11-10-26 CR1 tRFC:230 tREFI:14000) GPU: Asus GTX 1070 Dual (Super Jetstream vbios, +70(2025-2088MHz)/+400(8.8Gbps)) SSD: Samsung 840 Pro 256GB (main boot drive), Transcend SSD370 128GB PSU: Seasonic X-660 80+ Gold Case: Antec P110 Silent, 5 intakes 1 exhaust Monitor: AOC G2460PF 1080p 144Hz (150Hz max w/ DP, 121Hz max w/ HDMI) TN panel Keyboard: Logitech G610 Orion (Cherry MX Blue) with SteelSeries Apex M260 keycaps Mouse: BenQ Zowie FK1

 

Model: HP Omen 17 17-an110ca CPU: i7-8750H (0.125V core & cache, 50mV SA undervolt) GPU: GTX 1060 6GB Mobile (+80/+450, 1650MHz~1750MHz 0.78V~0.85V) RAM: 8+8GB DDR4-2400 18-17-17-39 2T Storage: HP EX920 1TB PCIe x4 M.2 SSD + Crucial MX500 1TB 2.5" SATA SSD, 128GB Toshiba PCIe x2 M.2 SSD (KBG30ZMV128G) gone cooking externally, 1TB Seagate 7200RPM 2.5" HDD (ST1000LM049-2GH172) left outside Monitor: 1080p 126Hz IPS G-sync

 

Desktop benching:

Cinebench R15 Single thread:168 Multi-thread: 833 

SuperPi (v1.5 from Techpowerup, PI value output) 16K: 0.100s 1M: 8.255s 32M: 7m 45.93s

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2 minutes ago, Jurrunio said:

A single beefy card of course.

 

The price per CUDA core with small cards are higher than big cards. You need 5 1050ti ($190 each) to have slighly more cores than a 1080ti ($800 each), while the cost is about 25% higher. You will also occupy all your PCIe slots available.

 

If your apps can use multi-GPU rendering, go for the 1070ti

May I know why 1070ti? Price-to-performance?

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1 hour ago, stongwl said:

May I know why 1070ti? Price-to-performance?

Yes, best value choice at this point

CPU: i7-2600K 4751MHz 1.44V (software) --> 1.47V at the back of the socket Motherboard: Asrock Z77 Extreme4 (BCLK: 103.3MHz) CPU Cooler: Noctua NH-D15 RAM: Adata XPG 2x8GB DDR3 (XMP: 2133MHz 10-11-11-30 CR2, custom: 2203MHz 10-11-10-26 CR1 tRFC:230 tREFI:14000) GPU: Asus GTX 1070 Dual (Super Jetstream vbios, +70(2025-2088MHz)/+400(8.8Gbps)) SSD: Samsung 840 Pro 256GB (main boot drive), Transcend SSD370 128GB PSU: Seasonic X-660 80+ Gold Case: Antec P110 Silent, 5 intakes 1 exhaust Monitor: AOC G2460PF 1080p 144Hz (150Hz max w/ DP, 121Hz max w/ HDMI) TN panel Keyboard: Logitech G610 Orion (Cherry MX Blue) with SteelSeries Apex M260 keycaps Mouse: BenQ Zowie FK1

 

Model: HP Omen 17 17-an110ca CPU: i7-8750H (0.125V core & cache, 50mV SA undervolt) GPU: GTX 1060 6GB Mobile (+80/+450, 1650MHz~1750MHz 0.78V~0.85V) RAM: 8+8GB DDR4-2400 18-17-17-39 2T Storage: HP EX920 1TB PCIe x4 M.2 SSD + Crucial MX500 1TB 2.5" SATA SSD, 128GB Toshiba PCIe x2 M.2 SSD (KBG30ZMV128G) gone cooking externally, 1TB Seagate 7200RPM 2.5" HDD (ST1000LM049-2GH172) left outside Monitor: 1080p 126Hz IPS G-sync

 

Desktop benching:

Cinebench R15 Single thread:168 Multi-thread: 833 

SuperPi (v1.5 from Techpowerup, PI value output) 16K: 0.100s 1M: 8.255s 32M: 7m 45.93s

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2 hours ago, Blebekblebek said:

What you need to research is how well those software splitting the workload among the GPU's

If the software doesn't utilize full power of 1080/Titan then what's the point?

 

 

That’s what I am asking for...

I can find results for 1080ti very easily but not multiple 1050tis.

The only valuable information I can find online is some theoretical calculations of clock speed multiply number of CUDA cores, which lack real world preformence testing...

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