NVIDIA Quadro RTX 8000 Specifications
The specifications for the Quadro RTX 8000 reflect a Titan RTX with increased memory to 48GB. Also, the Quadro RTX 8000 uses ECC memory while the Titan RTX does not.
With a quick look at basic specifications between the three noted graphics cards, we see the main differences.
Testing the NVIDIA Quadro RTX 8000 NVLINK
Our two Quadro RTX 8000’s came preinstalled in a Lenovo ThinkStation P920 Workstation outfitted as follows. We will have a complete review of the P920 coming up shortly.
• Lenovo ThinkStation P920 workstation
• CPU: 2x Intel Xeon Gold 6234 (8 core / 16 Threads) 3.3 GHz
• GPU: NVIDIA Quadro RTX 8000
• RAM: 192GB DDR4-2933
• SSD: Samsung PM961 1TB
• OS: Windows 10 Pro Workstation.
Here is the obligatory GPU-Z shot of the NVIDIA Quadro RTX 8000:
GPU-Z shows the primary stats of our testing the Quadro RTX 8000. The GPU clocks in at 1,396 MHz and can boost up to 1,770 MHz. Pixel Fillrates run at 169.9 GPixels/s, and Texture Fillrate comes in at 509.8 GTexel/s, while memory runs at 1,750 MHz. Again, we see 48GB of ECC memory on the Quadro RTX 8000.
Let us move on and start our testing with computing-related benchmarks.
Why is the Radeon VII not in the comparison, William? It would be competitive in some tests.
Emerth – we do not have one to test and they are discontinued. As a result, it is a low priority. We may look at the Radeon Pro version, but that just started shipping.
Can it run fortnite at 60 fps though?
I would really love to see some testing with this card for VGPUs in VMWare :P
@Jeremy likely it can simulate running Fortnite at 60FPS.
About AIDA64 GPGPU Part1 graph of Page 3, My Titan Black’ Double-Precision FLOPS value is 1842 when “Double precision” is enabled on NVIDIA control panel → Manager 3D settings. Default is disabled! when disabled, the score plummets to 256.7 GFLOPS and it matches the graph value.
It is better to show the better score, their double precision circuit is fully utilized IMO
OctaneRender 4 does not take advantage from quadro or Titan cards, rtx 2080ti result should be comparable to rtx 8000, SLI should just halve the time.
https://render.otoy.com/octanebench/results.php?v=4.00&sort_by=avg&filter=&singleGPU=1
I guess something went wrong.
yamamoto wrote: About AIDA64 GPGPU Part1 graph of Page 3, My Titan Black’ Double-Precision FLOPS value is 1842 when “Double precision” is enabled on NVIDIA control panel.
This is a very important point.
When reading through the review I was about to ignore this card as yet another AI GPU unsuited for doing science. Now your comment has me wondering which other cards treated here suffered a similar methodological problem with double precision arithmetic.
@Eric
Maybe other Kepler GPUs such as GTX Titan or Quadro K6000 are affected
I have a Titan V, there is no “Double Precision” menu item on NVIDIA Control Panel on this GPU and its AIDA64 Double-Precision score is 6283 GFLOPS. It is cost effective solution for some scientific calculation IMO.
Can this gpu beat the titan v in case of gaming and editing .