AMD recently launched a new generation of their Radeon graphics cards, and we have finally gotten our hands on the first two models – the RX 6800 and 6800 XT – to test in our lab. How do they stack up against NVIDIA’s GeForce RTX 30 Series cards, which are similarly priced, in Agisoft Metashape?
PCI-Express has been the standard for connecting video cards and other expansion devices inside of computers for many years now, and several generations of the technology have now passed. With each of those generations, the amount of data that can be transferred over the PCIe connection has increased. How much impact does that have on modern video cards? Is there any benefit to running a PCIe 3.0 card in a 4.0 slot, or loss if using a 4.0 card in a 3.0 slot?
NVIDIA does not consider dual NVLink – using two pairs of cards, each connected via a NVLink bridge and enabled via SLI – to be a supported configuration with GeForce cards in Windows, but some driver releases do allow it to function. This article will look at how to get that working, if you really must have it, and why we are not offering it on our workstations here at Puget Systems.
One of the big advantages of GPU-based rendering is that you can easily put multiple video cards inside a single workstation. How much benefit does each additional card provide for V-Ray Next, though? We put four GeForce RTX 2080 Ti video cards to the test to find out!
V-Ray Next is made up of two rendering engines: a traditional CPU based renderer, as well as a GPU-based hybrid engine that can run on both GPUs and CPUs for extra performance. With the launch of NVIDIA’s new GeForce RTX “SUPER” series of video cards, we are taking a look at how the whole RTX lineup performs on the GPU side of V-Ray Next.
OctaneRender is a GPU-based rendering engine, utilizing the CUDA programming language on NVIDIA-based graphics cards. With the launch of NVIDIA’s new GeForce RTX “SUPER” series of video cards, we are taking a look at how the whole RTX lineup performs on both the current OctaneRender 4 and the upcoming 2019 release which adds support for RTX technology and greatly increased rendering speeds.
Redshift is a GPU-based rendering engine, now owned by Maxon and available bundled with Cinema 4D – as well as in the form of plug-ins for other 3D applications. It was written to use NVIDIA’s CUDA graphics programming language, and since NVIDIA recently refreshed their GeForce series with new 2060, 2070, and 2080 “SUPER” cards we thought it would be a good time to re-test the whole RTX lineup.
RealityCapture, like other photogrammetry applications, is built to take a batch of photographs and turn them into digital, 3D models. The algorithms used during that process are designed to be “out of core”, meaning that not all of the data has to be loaded into system memory (RAM) at the same time – allowing for full processing without requiring a ton of available memory. Having more RAM can still be beneficial, though, so we decided to test how much impact it has on performance.
Metashape, formerly known as PhotoScan, is a photogrammetry program that takes a set of images and combines them to create a 3D model or map. Processing of those images into point clouds and 3D meshes/textures is time-consuming, heavily using a computer’s CPU and GPU. We have recently updated our benchmark tools to support Metashape, along with new image sets to test, so now we are taking a look at how different NVIDIA and AMD video cards perform in this application.
RealityCapture, like other photogrammetry applications, is built to take a batch of photographs and turn them into digital, 3D models. The many steps involved in that process can take a lot of time, and utilize both the CPU and GPU at different points. We recently put together a benchmark tool for RealityCapture, and after looking at processor performance last week we are now diving into a comparison of the current NVIDIA GeForce and Titan video cards.
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