Where Thea shines though is at Presto which supports both CPU and GPU. There are a couple of very nice Thea features like Relight, or export channel passes to post edit in image editors or compositors, that will consume even more RAM. If you intend on rendering exteriors with massive vegetation and 4k textures or multiple proxies and at high resolutions, you might be bottlenecked. Thea is one of the fastest.Įvery Thea engine works on the CPU so it’s understandable that a nice CPU is the recommended setting and a decent amount of RAM will allow you to render most projects. Unbiased engines are not fast, they are simple to use and deliver ultimate quality though. It has a biased engine (BSD), that behaves similarly to Vray’s, but where it stands out is on the Unbiased engines that most users tend to favour (I never used BSD for production though I tried it, I don’t like it). Thea is not a speedy render as it is mainly unbiased.
It all depends on what you’re trying to render, but I would consider bigger RAM than the 16gb. Therefore, imho, GTX is your best bet, and I’d recommend one with the most amount of RAM, as the speed difference might not be that important, while the capability to render as big a job as you can is what makes all the difference. I also read somewhere, when I was investigating the issue on my own, that Quadro CUDA cores were better than GTX CUDA Cores, but, for the price difference, I didn’t consider a Quadro. This is probably important for some CAD applications but it’s key for scientific applications that use GPU as the base computing power, it’s not important for Rendering. The real difference between GTX and Quadro GPU’s, for what I know, is double precision that exists in Quadro. With the same amount of VRam and CUDA cores, if I was to go for a Quadro at the time, it would have cost me 10x more. For that reason I have a Titan X with 12Gb which has a considerable amount of CUDA cores too. The two aspects you should pay attention to are:īoth of them are important but VRam is what determines how big a scene you can render. In Thea, the GPU generally contributes more towards samples per minute than the CPU but that contribution is determined by how powerful they are. In Thea’s case you won’t have support for OpenCL with current version, though the it was announced more than a year ago that Thea already was able to render with OpenCL, for now, you should stick with Nvidia GPU. Unlike CPUs, video cards get substantially faster each year or two, so you don’t generaly want to invest $1000s in a setup only to find next year’s $500 consumer models outpace it by supports CPU+GPU rendering. This can be better in the long term than upgrading your workstation (if your workstation is a laptop then rendering using that is not recommended).
Thea render gtx1080 Pc#
If your renderer supports network rendering, you may also want to consider a 2nd “slave” PC which is a cheap/basic PC with 2 or more video cards and a really good PSU. Technically you could use an Nvidia Tesla but those are pricier still. (buy a version with excellent cooling, rather than quietness- but be wary of the OC, TI’s and other “high spec” models as they often run hotter). Some use Quadros because they seem to be more reliable but you can always underclock a GeForce to bring down temps. In that case you may want a 2nd video card for rendering.įinally you could find out if your renderer can address two or more GPUs at the same time.Īs for Quadro vs GeForce, GeForce is better value for rendering. Third you need to know how much VRAM you might need - large scenes with lots of hi-res texctures can require more RAM so some users go straight to a TITAN for that reason.įourth, you need to decide if you want to render while using Sketchup at the same time - usually the Renderer will hog all GPU resources so that Sketchup runs slowly, if at all. This may influence Radeon vs GeForce decisions.
Thea render gtx1080 software#
Second you need to confirm that the software is optimised for CUDA and not OPENCL or some other instruction set. If it’s CPU+GPU then a beast of a GPU may be limited by your slower CPU. First of all you need to figure out if the renderer is CPU, CPU+GPU or GPU only.
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