Intel just released their 9th Gen Core Series processors, which have both higher clock speed and more cores than the previous mainstream generation. Cinema 4D uses a blend of CPU factors: clock speed is important for modeling, animation, and physics simulation – but core count is king when it comes to rendering. Let’s see how these new chips compare to other options from both Intel and AMD.
V-Ray CPU Rendering: Intel Core i7 9700K & i9 9900K Performance
Intel’s mainstream processors are not built specifically for CPU based rendering, and both Intel and AMD offer models with far more cores which will perform better in this application, but it is still worth testing each generation of these chips because they are ideal for 3D design, motion graphics, and animation – which are often used in workflows alongside rendering.
NVIDIA GeForce RTX 2080 Ti PCI-Express Lane Scaling in OctaneRender and Redshift
GPU based renderers like OctaneRender and Redshift make use of the video cards in a computer to process ray tracing and other calculations in order to create photo-realistic images and videos. The performance of an individual video card, or GPU, is known to impact rendering speed – as is the number of video cards installed in a single computer. But what about the connection between each video card and the rest of the system? This interconnect is called PCI Express and comes in a variety of speeds. In this article, we will look at how benchmarks for these programs perform across PCI-E 3.0 and 2.0 with x1, x4, x8, and x16 lanes.
GeForce RTX 2080 Multi-GPU Scaling in OctaneRender and Redshift
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.
OctaneRender 3.08: NVIDIA GeForce RTX 2080 & 2080 Ti GPU Rendering Performance
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 2.6.22: NVIDIA GeForce RTX 2080 & 2080 Ti GPU Rendering Performance
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.
NVIDIA Dual-Fan GeForce RTX Coolers Ruining Multi-GPU Performance
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.
Cinema 4D: AMD Threadripper 2990WX Performance
AMD just updated their high-performance Threadripper processor series, and the new top-end model – the 2990WX – has given the highest Cinebench multi-core score we’ve seen from a single CPU. This article will look at how it stacks up to the older Threadripper 1950X and a selection of Intel chips… and just as importantly, how it performs in single-core mode.
V-Ray CPU Rendering: AMD Threadripper 2990WX Takes the Single CPU Performance Crown
AMD just updated their high-performance Threadripper processor series, and the new top-end model – the 2990WX – is the fastest single CPU we’ve ever tested in V-Ray. This article will look at how it stacks up to other AMD and Intel chips, as well as Intel’s dual Xeon configurations.
Agisoft PhotoScan 1.4.1 NVIDIA GeForce vs AMD Radeon Vega
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.