[GitHub] [cloudstack] PPisz commented on issue #5405: Add NVidia V100/A100 GPU assignment to CloudStack guests

[GitBox <gi...@apache.org>]

PPisz commented on issue #5405:
URL: https://github.com/apache/cloudstack/issues/5405#issuecomment-924626952


   Very good idea.
   - The installation of NVIDIA software on the KVM side should be on the Administrator side.
   - GPU Offering should allow you to define NVIDIA vGPU profile, (this information can be easily retrieved from the appropriate path) e.g .:
   
   nvidia-355 - CUDA - num_heads=4, frl_config=60, framebuffer=1024M, max_resolution=5120x2880, max_instance=32
   nvidia-356 - CUDA - num_heads=4, frl_config=60, framebuffer=2048M, max_resolution=7680x4320, max_instance=16
   nvidia-357 - CUDA - num_heads=4, frl_config=60, framebuffer=4096M, max_resolution=7680x4320, max_instance=8
   nvidia-358 - CUDA - num_heads=4, frl_config=60, framebuffer=8192M, max_resolution=7680x4320, max_instance=4
   nvidia-359 - CUDA - num_heads=4, frl_config=60, framebuffer=16384M, max_resolution=7680x4320, max_instance=2
   nvidia-360 - CUDA - num_heads=4, frl_config=60, framebuffer=32768M, max_resolution=7680x4320, max_instance=1
   
   - The list of generated UUIDs for the vGPU can be passed to the CS or the CS can generate the vGPU
   - The whole process should allow you to connect a vGPU device as offering (compute type), not as extraconfig.
   - The dasboard should show the amount of used / max vGPU
   
   The manual vGPU connection process is described here:
   https://lab.piszki.pl/cloudstack-kvm-and-running-vm-with-vgpu/
   
   Automation should allow you to use GPU Offering instead of extraconfig, that's enough.


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