The GeForce series are consumer-grade cards known as gaming GPUs, while the Titan and Quadro series are dedicated graphics cards geared toward CAD rendering, AI, and scientific computation. If this changes in the future, we will surely consider it. For example, NVIDIA produces graphics cards for both uses. We have tried the Metal API and currently it is not a viable option for our raytracing code. 2.6 32.4 0 5 10 15 20 25 30 35 Dell Precision T7600 Mac Pro Desktop Mi nu te s Time to complete a set of video-rendering. This makes it really hard for us to develop code and provide adequate support.
#MAC PRO VIDEO CARDS RENDERING MAC OS#
With V-Ray GPU Next, CUDA rendering on Mac OS is still there, but its status is changed to “unofficial” for reasons we'll try to explain below.Īpple devices dо not come with NVIDIA GPUs installed and there is no official support by Apple for NVIDIA eGPUs on Mac OS devices. Unfortunately we do not believe OpenCL helps us with this goal. Second, as software developers, it is our responsibility to make sure that our users get the best experience possible and can utilize their hardware to the maximum. NVIDIA has never supported the modern OpenCL 2.0 Apple deprecated officially OpenCL with macOS MojaveĢ. First, most of the hardware and software vendors have decided to divest or deprecate their support for OpenCL.ġ. Unfortunately, there is no option to upgrade the 13 MBP’s graphics card. There are several reasons for this decision. All of the shortcomings of the 13 MBP for video editing stem from it’s integrated graphics card. In V-Ray Next we have removed support for OpenCL.
V-Ray GPU has been the first - and mostly the only - renderer to support OpenCL for many years. Historically we have been dedicated to supporting almost any open standard possible - OpenEXR, OpenVDB, OpenColorIO, OpenCL, etc. There are a few important changes in V-Ray Next concerning V-Ray GPU and the support for OpenCL (on all platforms) and Mac OS in particular.Īs software developers our goal is to make our software run on as many platforms as possible, and as efficiently as possible.
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