Instead, here is an overview of the three GeForce RTX 40 Series GPUs on test.įirst, the GeForce RTX 4090. You can find articles on other tech websites about the Ada Lovelace architecture itself, so I won’t delve into it here. The CUDA backends work with a wider range of Nvidia GPUs and software applications, but enabling OptiX usually improves performance.

In many renderers, the OptiX rendering backend is provided as an alternative to an older backend based on Nvidia’s CUDA API. In order to take advantage of the RT cores, software has to access them through a graphics API: in the case of the applications featured in this review, either DXR (DirectX Raytracing), or Nvidia’s own OptiX. Like Nvidia’s previous-generation Ampere and Turing GPUs, the current Ada Lovelace GPU architecture features three types of processor cores: CUDA cores, designed for rasterization and general GPU computing Tensor cores, designed for machine learning operations and RT cores intended to accelerate ray tracing. If you’re already familiar with them, you may want to skip ahead. That makes the full line-up of GPUs on test as follows:īefore I get to the review itself, here is a quick recap of some of the technical terms that you will encounter in it. We will also be testing three of Nvidia’s workstation cards, the Ampere-generation RTX A6000, and the Turing-generation Titan RTX and Quadro RTX 8000. We will be testing them against two cards from the GeForce RTX 30 Series, the GeForce RTX 3090 and GeForce RTX 3070, and one from the GeForce RTX 20 Series, the GeForce RTX 2080. (At the time the benchmark testing was done, the mid-range GeForce RTX 4070 and GeForce RTX 4060 Family had not been released.) In this review, we will be looking at three cards from the GeForce RTX 40 Series: the high-end GeForce RTX 4090, 40 Ti. This is its current generation of GPUs, meant to replace the previous GeForce RTX 30 Series, based on the Ampere architecture, and GeForce RTX 20 Series, based on the Turing architecture. Since the end of 2022, Nvidia has been pushing out its GeForce RTX 40 Series of consumer GPUs, based on its Ada Lovelace architecture. Which GPUs are included in the group test? Technology focus: GPU architectures and APIs We will be pitting the GeForce RTX 40 Series cards against older Nvidia GPUs, including those from its RTX 30 Series and RTX 20 Series, in a series of real-world DCC tests. That is what this article aims to find out. Nvidia claims significant performance improvements for the RTX 40 Series GPUs over their predecessors, and many tests have shown that this is the case for gaming. In by far the biggest GPU review I have done for CG Channel, we will be taking a look at three cards from the GeForce RTX 40 Series, Nvidia’s current range of consumer GPUs. Which GeForce RTX 40 Series GPU offers the best bang for your buck for CG work? To find out, Jason Lewis puts Nvidia’s new consumer GPUs – and several older cards – through an exhaustive set of real-world tests.

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