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For a long time, consumer Nvidia Graphic cards supportted having plain cuda cores despite not being branded for accelerators.

The problem in my case is while Tensor cores allow to perform cuda, they are restricted to matrix and less precise computations. This speeds up machine training and what depends on it like nvidia dlss.

On the new rtx series, I m no longer seeing any reference to the number of cuda cores (like rtx 3090 or rtx 3070).

Does it means things like deterministic cuda based rendering with Indigo Render now require Tesla gpu for newer cards?

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  • i.stack.imgur.com/OXQiT.png output of the newest version of GPU-Z I could find for a 3080 from a partner.
    – Journeyman Geek
    Oct 31, 2020 at 14:47
  • @Ramhound this example scenario is not related to machine training. If the card no longer contains the less specialized hardware, things will run poorly if not at all. Oct 31, 2020 at 14:48
  • @JourneymanGeek I remember clearly seeing the cuda core count on gpu z with my Gtx 1070. Unfortunately the cpu fried and it doesn t fit in the new computer hardwarerecs.stackexchange.com/q/14184. On the other hand, there are reports of Blender renderer not detecting any OpenCl devices with those new consumer cards. Oct 31, 2020 at 15:08
  • GPU Z detects OpenCL is supported on the 3080 - Version is Version OpenCL 1.2 CUDA
    – Journeyman Geek
    Oct 31, 2020 at 15:16

1 Answer 1

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I can confirm that the 3000 series, and presumably older RTX and GTX cards still have cuda cores, in addition to tensor and RT cores.

You can check the CUDA core count from the nvidia control panel, under system information

The RTX 3080 for example has 8704 CUDA cores listed

screenshot of nvidia control panel

If you don't have the exact card on hand, there's lists you can use to look it up. WCCFtech has specifications for some newer, and some speculative cards. For the models that are currently out as of Oct 2020, the numbers look correct, though

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  • Great they even didn t decreased the count in order to leave room for the new features. Do you have an Nvidia replacement idea for that dumb problem user-images.githubusercontent.com/3824869/… Oct 31, 2020 at 15:15
  • I'm not quite getting what I am seeing. Is that a gaming card with wierd grubbins not fitting in a server case?
    – Journeyman Geek
    Oct 31, 2020 at 15:30
  • Yes, the problem is most card are large like this. Oct 31, 2020 at 15:49

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