![]() The two firms also differ in the APIs they support for GPU computing: while both AMD and Nvidia support the open standard OpenCL, Nvidia focuses primarily on its own CUDA API. ![]() It’s important to note that comparing core counts is a reasonable way to judge the probable relative performance of different Nvidia cards, but not to compare Nvidia cards with those from AMD, which have a different architecture, and group processing cores into ‘compute units’ instead. You can read a summary of DCC tools and game engines currently supporting RTX here. While we are starting to see more widespread adoption of RTX in games, implementing support for new hardware in CG applications is a much slower process. While the firm has introduced limited support for DXR ray tracing on older GPUs, including those on test here, most software developers are focusing on the new RTX cards. The RT cores are Nvidia’s hardware implementation of DXR, DirectX 12’s new DirectX Raytracing API. Nvidia’s current GPU architecture features three types of processor cores: CUDA cores, designed for general GPU computing Tensor cores, introduced in the previous-generation Volta cards, and designed for machine learning operations and RT cores, new in its RTX cards, and designed for ray tracing calculations. If you’re already familiar with them, you may want to skip ahead. Other questions: how much memory do you need on your GPU?īefore we discuss the cards on test, let’s run through a few of the technical terms that will recur throughout the course of this review. Other questions: how well does rendering scale across both CPU and GPU? Other questions: how well does DCC performance scale on multiple GPUs? Other questions: how much difference does RTX ray tracing really make? ![]() Technology focus: consumer vs workstation cards Technology focus: GPU architectures, memory types and APIs I hope to revisit these tests with AMD’s RDNA GPUs later this year. For comparison, we have one AMD GPU: the Radeon Pro WX 8200. In addition, we have three newcomers: the Quadro RTX 5000, Quadro RTX 4000 and GeForce RTX 2080. In this group test, we are pitting all of the Nvidia GPUs from the past few CG Channel reviews against one another: the Titan RTX, Titan V, GeForce GTX 1080 and GeForce GTX 1070. The RDNA architecture in AMD’s new Navi GPUs also looks to be a significant update. Nvidia’s Pascal and Turing GPU architectures offered huge performance improvements over previous generations, as did AMD’s Vega architecture. I have mentioned this in my last few reviews, but it’s worth reiterating: PC technology has evolved at a feverish pace in the past couple of years compared to the rest of the decade. ![]() Some of the cards have appeared in previous single-GPU reviews on CG Channel others are completely new. What started out as a review of a single professional-class GPU gradually evolved into a larger group test of Nvidia’s current consumer and workstation cards, plus one of AMD’s rival Radeon Pro workstation GPUs for reference. In our latest hardware review, we are going to look at Nvidia’s current RTX GPUs. Read our recent review of the GeForce RTX 2080 Ti here. Which Nvidia GPU is best for your DCC work? Jason Lewis puts four of the firm’s powerful Turing-based GeForce RTX, Titan RTX and Quadro RTX graphics cards through a battery of real-world benchmark tests.
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