Pix4D is an advanced photogrammetry application, suited to a wide range of uses, with a focus on handling images captured by drone cameras. Processing of those images into point clouds and 3D meshes / textures is time-consuming, heavily using a computer’s CPU and GPU. A new version, 4.3, was released recently – so we have tested multiple projects across the new GeForce RTX series of video cards, as well as the previous generation, to see which graphics card performs the best.
V-Ray is a hybrid rendering engine that can run on both CPUs and GPUs, depending on the version that is used. The current benchmark only measures CPU and GPU performance separately, though, and while that is not ideal or a perfect match for how the modern V-Ray Next engine performs it can still be helpful to look at when comparing GPU rendering performance. Let’s see how NVIDIA’s new GeForce RTX 2070, 2080, and 2080 Ti cards stack up against the previous generation.
Pix4D is an advanced photogrammetry application, suited to a wide range of uses, with a focus on handling images captured by drone cameras. Processing of those images into point clouds and 3D meshes/textures is time-consuming, heavily using a computer’s CPU and GPU. In this article, we are looking at whether multiple GPUs improve Pix4D performance and if NVLink has any impact.
Pix4D is an advanced photogrammetry application, suited to wide range of uses, with a focus on handling images captured by drone cameras. Processing of those images into point clouds and 3D meshes / textures is time consuming, heavily using a computer’s CPU and GPU. A new version, 4.3, was released recently – so we are taking a look at performance of the previous version versus this one to see if there have been any improvements.
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 RTX 2000-series – based on NVIDIA’s Turing GPU architecture – to see how they compare to each other.
We found previously that stacking multiple RTX 2080 video cards next to each other for multi-GPU rendering led to overheating and significant performance throttling, due to the dual-fan cooler NVIDIA has adopted as the standard on this generation of Founders Edition cards. Now that manufacturers like Asus are putting out single-fan, blower-style cards we can repeat our testing to see if the throttling issues are resolved and find out how well these video cards scale when using 1, 2, 3, or even 4 of them for GPU-based rendering in OctaneRender and Redshift.
There was a lot of excitement when it was first announced that GeForce RTX 2080 and 2080 Ti cards would have NVLink connectors, because of the assumption that it would allow them to pool graphics memory when used in pairs. Digging into the functionality of the NVLink connection on these cards, however, things are not as straightforward as folks may have hoped.
OctaneRender is a GPU-based rendering engine, and as of version 3.08 is compatible with NVIDIA’s Turing graphics architecture in the GeForce RTX 2080 and 2080 Ti cards. Let’s take a look at how these new GeForce models compare to the previous generation.
Redshift is a GPU-based rendering engine, and the latest version 2.6.22 is compatible with NVIDIA’s Turing graphics architecture in the GeForce RTX 2080 and 2080 Ti cards. Let’s take a look at how these new GeForce models compare to the previous generation.
The new GeForce RTX series cards perform well in GPU based rendering, as individual cards, and have great potential for the future thanks to their new RT cores. However, when stacking them together to measure multi-GPU scaling we ran into some serious problems.
Puget Systems builds custom workstations, servers and storage solutions tailored for your work.
We provide:
Extensive performance testing
making you more productive and giving better value for your money
Reliable computers
with fewer crashes means more time working & less time waiting
Support that understands
your complex workflows and can get you back up & running ASAP
A proven track record
as shown by our case studies and customer testimonials
