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.
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 AMD’s Radeon line – including the Vega 64 and 56 – and see how they stack up to NVIDIA’s GeForce 1000-series.
GPU rendering engines like OctaneRender and Redshift utilize the computational power of the graphics processing chips on video cards to create photo-realistic images and animations. The more powerful the video card, the faster the rendering process goes – and multiple video cards can be used together to further improve performance. But can those video cards be a mix of different models, or do they all need to be identical?
Redshift is a GPU-based rendering engine, which recently updated from version 2.5.72 to 2.6.11. That update added compatibility with NVIDIA’s Volta GPU architecture, and cards like the Titan V, but did it also improve render speeds?
Redshift is a GPU-based rendering engine, and the latest version 2.6.11 introduced compatibility with NVIDIA’s Volta graphics architecture and cards like the Titan V. Lets take a look at how different GeForce and Titan models perform.
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