The hardware requirements for the neural network-based analytics are:

1. For neural analytics operation, you may use CPUs, GPUs (NVIDIA discrete or Intel embedded), or VPUs (Intel NCS or Intel HDDL).

   To connect an Intel NCS, insert the device into a USB port and make sure that it is recognized by Windows OS as one of the following: Movidius, Myriad X, or VSC Loopback Device.  Intel NCS may be used with any PC that conforms to Axxon Next hardware requirements (see Hardware requirements).

   
   

   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.

   
   

   For Intel HDDL to work correctly with AMD processors, pre-install the OpenVINO ™ toolkit version 2019.3.379 (see https://docs.openvinotoolkit.org/latest/openvino_docs_install_guides_installing_openvino_windows.html).

   
   

2. To use Intel CPU or GPU for analytics, please consider that the following processors are supported: Intel Core starting from 6th generation, Intel Xeon and Intel Pentium N4200/5, N3350/5, or N3450/5 with Intel HD Graphics https://software.intel.com/en-us/openvino-toolkit/hardware.

3. Video card: NVIDIA GeForce 1050 Ti or higher. Requirements:
   1. at least 2 GB of memory;

   2. Compute Capability 3.0 or higher.

      You can check the GPU's Compute Capability version on the manufacturer's website.

      
      

      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 neural network requires 500MB of video memory. 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.