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. We have recently updated our benchmark tools for Pix4D, and now are taking a look at how different NVIDIA video cards perform in this program.
OctaneRender is a GPU-based rendering engine, utilizing the CUDA programming language on NVIDIA-based graphics cards. The upcoming 2019 version is adding support for the dedicated ray-tracing hardware in NVIDIA’s RTX series of video cards, and a preview of the OctaneBench tool was released recently to show a sneak peek at what we can expect from this technology. We rounded up the whole GeForce RTX card line – along with the Titan RTX – to see how they compare to each other and how much of a boost RTX tech can provide.
OctaneRender is a GPU-based rendering engine, utilizing the CUDA programming language on NVIDIA-based graphics cards. The upcoming 2019 version is adding support for the dedicated ray-tracing hardware in NVIDIA’s RTX series of video cards, and a preview of the OctaneBench tool was released recently to show a sneak peek at what we can expect from this technology. We rounded up the whole Quadro RTX card line – along with the Titan RTX – to see how they compare to each other and how much of a boost RTX tech can provide.
Using NVLink requires a physical bridge between two identical NVIDIA graphics cards, but several models of bridges have been sold with different branding. Which versions work with which GeForce, Titan, and Quadro graphics cards?
OctaneRender is a GPU-based rendering engine, utilizing the CUDA programming language on NVIDIA-based graphics cards. An update to their benchmark, OctaneBench 4.00, was recently released – so we gathered most of the current and recent GeForce and Titan series video cards and tested them to see how they perform in this version of OctaneRender.
Redshift is a GPU-based rendering engine, compatible with NVIDIA’s CUDA graphics programming language. We recently saw how GeForce RTX cards perform in this renderer, but now the Titan RTX is out with a staggering 24GB of memory onboard. That sounds great for rendering complex 3D scenes, but how does it actually perform? And are there any caveats?
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?
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?
Adobe has been leveraging the power of the GPU in their software more and more, but is there any reason to spend money on an expensive video card for Photoshop?
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 utilizes the video card (GPU) in a workstation, but how much impact do different cards make on overall performance?
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