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1. Due to the features of NVIDIA SDK, the neural analytics can operate only on Windows Server 2019 OS and Windows 10 OS and newer.

2. The neural network analytics supports the following devices: CPU, GPU NVIDIA, VPU (Intel NCS).
   

   Note
   title Attention!
   To connect the Intel NCS, plug in the device to the USB port and make sure that Windows detects it as a USB device with one of the following names: Movidius, Myriad X, VSC Loopback Device. You can use Intel NCS on any computer that meets the hardware requirements of Axxon PSIM (see General requirements for PCscomputers). We don't recommend using more than one Intel NCS device on the same server.

3. If you use CPU or Intel GPU for the neural analytics operation, then meet the following requirements:
   1. Supports the following CPUs:
      1. 6th–10th Generation Intel® Core™ processors;
         

         Note
         title Attention!
         If you use a CPU below 6th Generation Intel® Core™ processors, the operation of detectors isn't 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. The OpenVino toolkit must support the used Intel CPU (see https://software.intel.com/content/www/us/en/develop/tools/openvino-toolkit/system-requirements.html).
   3. A processor must 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).
      

      Info
      title Note
      If you use a processor with Intel AMX instructions along with Windows Server 2019 OS on the server, we recommend updating the OS to Windows Server 2022 for successful operation of neural analytics.

4. NVIDIA GeForce 1050 Ti GPU or newer. Requirements:
   
   1. At least 2 GB of memory.
   2. CUDA 11.1 − 11.4.

   3. Compute Capability 3.5 − 8.6.

      Note
      title Attention!
      CUDA is compatible with generations of computers on architectures: Kepler (partially), Maxwell, Pascal, Volta, Turing, Ampere (partially), see CUDA. When you use an NVIDIA GPU, we recommend installing the latest driver from the NVIDIA official website. You can check the version of GPU Compute Capability on the manufacturer's website.

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