Redshift is a GPU-based rendering engine, but how well does its performance scale when multiple video cards are used in a system?
Titan V Multi GPU Performance Scaling in OctaneRender
Now that OctaneRender has been updated to support the Volta GPU architecture, how well does its performance scale when using multiple Titan Vs? And how does that compare to other popular rendering cards like the GeForce GTX 1080 Ti?
Is the Titan V a Good GPU for OctaneRender?
As of version 3.08, the Volta GPU architecture is now supported in OctaneRender. How does it stack up compared to other Titan and GeForce series graphics cards – in terms of both performance and value?
Agisoft PhotoScan 1.4.1 – Xeon Scalable CPU Performance and GPU Scaling
PhotoScan makes heavy use of both the central processors (CPUs) in a computer and the video cards (GPUs) to run many of the calculations involved in turning still images into a 3D model or map. Intel’s new Xeon Scalable processors offer configurations with dozens of CPU cores, as well as the ability to support multiple GPUs – so let’s see how they perform in PhotoScan.
Agisoft PhotoScan 1.4.1 – CPU and GPU Preferences
PhotoScan makes use of both the CPU and GPUs (video cards) in a computer, during different steps of the photogrammetry workflow. One of the configuration options within this program also allows the CPU to be utilized during steps that are primarily performed on the GPU – and it is enabled by default. However, we have found in our testing that this option usually hampers performance more than it helps!
Agisoft PhotoScan 1.4.1 – Multi GPU Scaling
PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. As such, both the model of video card used and the number of GPUs present in a system can have an impact on the amount of time those steps take. In this article, we take a look at how multiple GeForce GTX 1080 Ti cards scale in performance across a few different CPU platforms.
Agisoft PhotoScan 1.4.1 – GeForce GPU Comparison
PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. As such, the model of video card used can have an impact on the amount of time those steps take. In this article, we take a look at the GeForce 1000-series – based on NVIDIA’s Pascal GPU architecture – to see how they compare to each other.
SOLIDWORKS 2018 GPU Comparison: Monster (Sized) Model
Following up on our previous article about SOLIDWORKS 2018 GPU performance, we have been provided with an extremely complex assembly that finally shows some performance difference between low- and high-end video cards within the same family. Armed with this 4372 part, 40.9 million triangle model we ran through testing on multiple Quadro and Radeon Pro graphics cards to see how they handle such a monstrously large project.
DaVinci Resolve 14 GPU Scaling: Core i9 vs Xeon W vs Dual Xeon SP
Blackmagic’s DaVinci Resolve is known for how well it utilizes multiple GPUs to improve performance, but is this still true with cards like the new NVIDIA Titan V? And do you really need a Xeon or Dual Xeon setup to get the best performance possible?
SOLIDWORKS 2018 GPU Comparison: What Is the Meaning of This?
Despite how popular SOLIDWORKS is, there is a lot of outdated and simply inaccurate information on the web regarding what video card you should use. For this article I tested multiple graphics cards from the Quadro, GeForce, and Radeon Pro families at both 1080p and 4K resolutions – and quickly found that either things are now a lot simpler than in my past experience, or else something is no longer up to snuff regarding how we have tested SOLIDWORKS GPU performance in the past.
