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An Early Benchmark Of The NVIDIA CUDA GPU Performance On WSL2

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  • #11
    Originally posted by oiaohm View Post

    There are a lot of compute heavy workloads not run on bare metal.
    https://www.nvidia.com/en-us/data-ce...rtual-pc-apps/

    Grid for example is used by AMS with hypervisor instances there are also fpga passed though as well. This is really about server density.
    Did you post the wrong link? Because I visit, it tells me about "productivity and collaboration applications like Skype and YouTube and even PowerPoint". Nothing about compute.
    Originally posted by AndyChow View Post
    I've run lot of CUDA things in docker containers. Not really pure-virtualization, but not bare-metal either. There is a small (2-8%) penalty I've noticed, probably because the io on the docker filesystem is really slow.

    To be able to run on a vm on windows without a passthrough, it's impressive that they can even use CUDA through such a layer. It's good for testing maybe. But I wouldn't do any serious dev on windows in the first place, but many people do and they like it just fine.
    Docker runs just an isolated process, it doesn't virtualize hardware

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    • #12
      Originally posted by bug77 View Post
      Did you post the wrong link? Because I visit, it tells me about "productivity and collaboration applications like Skype and YouTube and even PowerPoint". Nothing about compute
      https://developer.nvidia.com/cuda-toolkit-31-downloads

      Compute does not stop exactly where you expect. You do run into excel and other desktop applications running compute. It was not exactly the wrong link. Grid from Nvidia is also for compute under hypervisor.

      https://aws.amazon.com/ec2/instance-types/
      If you look under Accelerated Computing here you will find under P3.

      • High frequency Intel Xeon E5-2686 v4 (Broadwell) processors for p3.2xlarge, p3.8xlarge, and p3.16xlarge.
      • High frequency 2.5 GHz (base) Intel Xeon P-8175M processors for p3dn.24xlarge.
      Xeon E5-2686 is a 18 core part with out hyper threading and Xeon P-8175M is a 24 core chip. p3.2xlarge only gives you 8 vcpu or 4 real cores of usage yes this is being sliced out by hypervisor. So yes there is a lot of compute on AWS that performs quite well that is done under a hypervisor so being under hypervisor is not excuse for bad performance at least not on the GPU side if it done well. WSL2 is not really done well in this regard.

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