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Use of GPU resources
Hardware accelerated video decoding for motion detection uses GPU resources on:
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Intel CPUs that support Intel Quick Sync
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NVIDIA
®
display adapters connected to your recording server
Load balancing and performance
The load balancing between the different resources is done automatically. In the System Monitor node you
can verify if the current motion analysis load on the NVIDIA GPU resources is within the specified limits from
the System Monitor Thresholds node. The NVIDIA GPU load indicators are:
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NVIDIA decoding
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NVIDIA memory
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NVIDIA rendering
If the load is too high, you can add GPU resources to your recording server by installing
multiple NVIDIA display adapters. Milestone does not recommend the use of Scalable
Link Interface (SLI) configuration of your NVIDIA display adapters.
NVIDIA products have different compute capabilities.
Hardware accelerated video decoding for motion detection using NVIDIA GPUs requires
compute capability version 6.x (Pascal) or newer.
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To find the compute capability version of your NVIDIA product, visit the NVIDIA website
(https://developer.nvidia.com/cuda-gpus/).
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To see if video motion detection is hardware accelerated for a specific camera, enable logging on the
recoding server log file. Set level to Debug and diagnostics is logged to the DeviceHandling.log. The log
follows the pattern:
[time] [274] DEBUG – [guid] [name] Configured decoding: Automatic: Actual decoding: Intel/NVIDIA
The OS version of the recording server and CPU generation may impact performance of hardware accelerated
video motion detection. GPU memory allocation is often the bottleneck with older versions (typical limit is
between 0.5 GB and 1.7 GB).
Systems based on Windows 10 / Server 2016 and 6th generation CPU (Skylake) or newer can allocate 50% of
system memory to GPU and thereby removing or reducing this bottleneck.
6th generation Intel CPUs does provide hardware accelerated decoding of H.265, so the performance is
comparable with H.264 for these versions of CPU.
Administrator manual | XProtect® VMS 2023 R1
228 | Configuration
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