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The hardware requirements for the neural network-based analytics the neural analytics (see General information on Neural Analytics) are:

1. Some NVIDIA SDK specific features allow the neural analytics to work only under on Windows Server 2019 or Windows 10. 

2. For neural analytics operation, you may use CPUsCPU, GPUs (NVIDIA discrete or Intel embedded), or VPUs GPU NVIDIA, VPU (Intel NCS or , Intel HDDL). 

   note

   Infonote
   title NoteAttention!
   To connect an Intel NCS, insert the device into a USB port and make sure that it is recognized by Windows OS as a USB device with one of the following names:  Movidius Movidius, Myriad X, or VSC Loopback Device.   Intel NCS may be used with any PC that conforms to meets Axxon Next hardware requirements (see Hardware requirements).
   title Attention!
   We do not recommend using more than one Intel NCS device per Server. You can use several Intel HDDL devices on the Server if they have the same revision revisions.
   Note
   title Attention!
   For Intel HDDL to work correctly with AMD processors, pre-install the OpenVINO ™ toolkit version OpenVINO™ toolkit version 2019.3.379 (see https:// docs. openvinotoolkit.org/latest/ openvino _docs_install_guides_installing_openvino_windows.html .ai).

   
   

3. If a the detection tool uses CPU or Intel GPU resources, make note of the following requirements should be met:  

   1. Supported CPUs:

      1. 6th-10th Generation Intel® Core™ processors;

         Note
         title Attention!
         When using a CPU lower than 6th Generation Intel® Core™ processors, the operation of the detection tools is not guaranteed.

         
         

      2. Intel® Xeon® v5 family;
      3. Intel® Xeon® v6 family;
      4. Intel® Movidius™ Neural Compute Stick;
      5. Intel® Neural Compute Stick 2;
      6. Intel® Vision Accelerator Design with Intel® Movidius™ VPUs.
   2. OpenVino should

   3. only Intel 6 and up (Skylake), and Intel Pentium N4200/5, N3350/5, or N3450/5 with Intel HD Graphics are supported;

   4. OpenVino must support the Intel CPU in use (see https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit/system-requirements.html).
   5. CPU should support the AVX2 or AVX512 instruction set (see https://ark.intel.com/content/www/us/en/ark/search/featurefilter.html?productType=873&1_Filter-InstructionSetExtensions=3533&1_Filter-Family=595).
4. Video card: NVIDIA GeForce 1050 Ti or higher. Requirements:
   1. at At least 2 GB of memory;
   2. CUDA 11.1—11.4;

   3. Compute Capability 3.0 - 75—8.56.

      note

      Infonote
      Note title Attention!
      CUDA is compatible with generations of computers with the following architectures: Kepler (partially), Maxwell, Pascal, Volta, Turing, Ampere (partially) (see CUDA). You can check the GPU's Compute Capability GPU version on the manufacturer's website.
      title Attention!
      If you use NVIDIA graphics cards, make sure to download the latest drivers from the manufacturer's website.

      
      

When using a video card, a single a single neural network requires 500MB 500 MB of video memory. For , except for the neural network for face detection (see Hardware requirements for face detection) and license plate recognition (RR) (see Hardware requirements for License plate recognition (RR)). For example: a " neural " fire detection tool and a " neural " smoke detection tool, both with unlimited number of channels, require a 1 GB graphics card or higher. You can use multiple video cards in your system.

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