Is there any advantage to using a dedicated video card?
- Thread starter Arjun
- Start date
Around the time AI was introduced in BI, many here had their system become unstable with hardware acceleration on (even if not using DeepStack or CodeProject). Some have also been fine. I started to see that error when I was using hardware acceleration.
This hits everyone at a different point. Some had their system go wonky immediately, some it was after a specific update, and some still don't have a problem, yet the trend is showing running hardware acceleration will result in a problem at some point especially if using VPP.
However, with substreams being introduced, the CPU% needed to offload video to a GPU (either internal graphics on the CPU or an added GPU) is more than the CPU% savings seen by offloading to a GPU. Especially after about 12 cameras, the CPU goes up by using a GPU and hardware acceleration.
My CPU % went down by not offloading to a GPU.
It is best to just use the GPU now for AI and use substreams for BI.
As always YMMV.
This hits everyone at a different point. Some had their system go wonky immediately, some it was after a specific update, and some still don't have a problem, yet the trend is showing running hardware acceleration will result in a problem at some point especially if using VPP.
However, with substreams being introduced, the CPU% needed to offload video to a GPU (either internal graphics on the CPU or an added GPU) is more than the CPU% savings seen by offloading to a GPU. Especially after about 12 cameras, the CPU goes up by using a GPU and hardware acceleration.
My CPU % went down by not offloading to a GPU.
It is best to just use the GPU now for AI and use substreams for BI.
As always YMMV.
I definitely need to make sure I have this (AI + sub streams) configured correctly in BI. Every time I add a camera, it changes everything 
Time to go back to settings.
Time to go back to settings.