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NVIDIA CUDA 11.8 Released With Hopper & Ada Lovelace Enablement, Rocky Linux 9 Support

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  • NVIDIA CUDA 11.8 Released With Hopper & Ada Lovelace Enablement, Rocky Linux 9 Support

    Phoronix: NVIDIA CUDA 11.8 Released With Hopper & Ada Lovelace Enablement, Rocky Linux 9 Support

    NVIDIA has released CUDA 11.8 that enables support for their latest Hopper and Ada Lovelace families of GPUs...

    https://www.phoronix.com/news/NVIDIA-CUDA-11.8

  • #2
    Is there any benefit to integrate CUDA for end-user and workstation performance?

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    • #3
      Ahh, more lovely lock-in tech from the masters.

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      • #4
        Originally posted by MorrisS. View Post
        Is there any benefit to integrate CUDA for end-user and workstation performance?
        You can use CUDA to accelerate complex computations such as in spreadsheets or analysis of medical data, heavily parallelize image rendering in CAD applications, data extrapolation, and modelling.
        If you are looking to generally make your computer faster, then it is irrelevant and so the answer is no.
        I hope this answers your question.
        Last edited by ClosedSource; 05 October 2022, 10:25 AM.

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        • #5
          Originally posted by ClosedSource View Post
          You can use CUDA to accelerate complex computations such as in spreadsheets or analysis of medical data, heavily parallelize image rendering in CAD applications, data extrapolation, and modelling.
          If you are looking to generally make your computer faster, then it is irrelevant and so the answer is no.
          I hope this answers your question.
          Many thanks. It's a bit like OpenCL, if the program allows to take benefit from OpenCL the user can enable it, otherwise there is no possibility of any benefit.

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