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It can take several minutes to launch neural analytics algorithms on NVIDIA GPU after Server server restart. At this time, the neural models are optimized for the current GPU type.

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To optimize the operation of the neural analytics on GPU, do the following:

1. Stop the Server server (see Shutting down a Server Stopping the server).
   

   Note
   title Attention!
   If the system has the software running on GPU, it is necessary to stop its operation.

2. Create the GPU_CACHE_DIR system variable (see Appendix 9. Creating system variable) by specifying in the Variable value field the path to the cache location with an arbitrary folder name. For example, D:\GPU_cache. The specified directory will store the cache for all used detectors and neural networks.
   The cache size depends on the number of neural networks used and their type. The minimum size is 70 MB.
   

3. Run the command prompt as administrator.

4. To call the utility, in the command prompt, enter C:\Program Files\Common Files\AxxonSoft\DetectorPack\NeuroPackGpuCacheGenerator.exe.

5. Press Enter.

6. Specify the ID of the required Nvidia GPU (see Selecting Nvidia GPU when configuring detectors).
7. Press Enter.

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• GeneralNMHuman_v1.0GPU_onnx.ann—human;
• smokeScanned_v1_onnx.ann (or bestSmoke_v1.ann starting with Detector Pack 3.14)—smoke detection;
• fireScanned_v1_onnx.ann (or bestFire_v1.ann starting with Detector Pack 3.14) —fire detection;
• reid_15_0_256__osnetfpn_segmentation_noise_20_common_29_onnx.ann—search for the similar in the Neurotracker Neural tracker (see Image Similitude search).
  

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The neural networks for which the quantization mode is available (see Neurotracker Neural tracker, Stopped object detector, Neurocounter Neural counter):

• GeneralNMCar_v1.0GPU_onnx.ann—Vehicle.
• GeneralNMHuman_v1.0GPU_onnx.ann—Person.
• GeneralNMHumanTopView_v0.8GPU_onnx.ann—Person (top-down view).

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