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When you use neural analytics (see see General information on neural analytics), the hardware requirements are the following:

Because of specific features
1. Take into account the limitations of NVIDIA SDK
,
2. . The neural analytics can
work
3. operate on the GPU only in the operating systems specified
in 
4. in the Operating system requirements page.
  Note

title	Attention!

To connect Intel NCS, insert the device into a USB port and make sure that it is recognized by
5. Windows OS as a USB device with one of the following names:
6. VPU requirements (Intel NCS):
   1. Connect a device to the computer USB port.
   2. Make sure that the Windows system identifies a device as
7. 1. Movidius, Myriad X, or VSC Loopback Device.
You can use Intel NCS on any computer that meets Axxon One hardware requirements (see Hardware requirements). We don't recommend using
8. 2. Use it on the computers that meet the Hardware requirements.
   3. Apply no more than one Intel NCS device
per Server.You can use several Intel HDDL devices
9. 1. on
one Server if they have the same revisions.For Intel HDDL to work correctly with AMD processors, pre-install the OpenVINO™ toolkit version 2019.3.379 (see docs.openvino.ai).
Neural analytics can work on the following devices: CPU, Nvidia GPU, VPU (Intel NCS, Intel HDDL).

If CPU or Intel GPU is used to run analytics, the following requirements must be met:

10. 1. the server.
Supported CPUs:

11. 6th Generation Intel® Core™ processors and higher.

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

12. Intel® Xeon® v5 family and Intel® Xeon® v6 family.
13. Intel® Movidius™ Neural Compute Stick.
14. Intel® Neural Compute Stick 2.
Intel®
15. Supported CPUs and requirements:
    

    CPU type	Supported generations/models	Key requirements and conditions
    Intel® Core™	6th generation (Skylake) and higher	Support for the AVX2 or AVX512 instruction set (see ark.intel.com) We don't guarantee the detector operation on CPUs lower than 6th generation
    Intel® Xeon®	Families v5 (Broadwell) and v6 (Skylake)	Support for the AVX2 or AVX512 instruction set (see ark.intel.com). CPU compatibility with the OpenVINO toolkit version that you use (see software.intel.com)
    Intel VPU devices	Movidius™ Neural Compute Stick, Neural Compute Stick 2,

16. Vision Accelerator Design with Intel® Movidius™ VPUs

.
OpenVino must support the Intel CPU

18. Support from the OpenVINO toolkit version that you use (see software.intel.com)

.
19. CPU must support the AVX2 or AVX512 instruction set (see ark.intel.com).
NVIDIA GeForce 1050 Ti graphics card or higher. Requirements:
20. At least 2 GB of memory;
21. CUDA 11.1 or higher;

Compute Capability 3.5 or higher.

Note

title	Attention!

23. Requirements for NVIDIA GPU: 
    

    Parameter	Minimum/recommended requirements
    GPU model	NVIDIA GeForce GTX 1050 and later (for Detector Pack 3.14–3.15.1) NVIDIA GeForce GTX 1650 and later (for Detector Pack 3.15.2 and later)
    Video memory space	At least 2 GB. For the accurate calculation, we recommend using AxxonSoft Platform Calculator (see AxxonSoft Platform Calculator documentation)
    CUDA version	11.1–11.8 (for Detector Pack 3.14–3.15.1) 12.8.1 (for Detector Pack 3.15.2 and later)
    Compute Capability	6.0–9.0 (for Detector Pack 3.14–3.15.1) 7.5–12.0 (for Detector Pack 3.15.2 and later) You can check the version here or on the manufacturer's website
    Supported architectures	Kepler (late

CUDA is compatible with generations of computers with the following architectures: Kepler (partially

24. ), Maxwell, Pascal, Volta, Turing, Ampere, Ada Lovelace (partially)

(see CUDA).
25. You can check Compute Capability GPU version on the manufacturer's website.
26. If you use NVIDIA graphics cards, make sure to download the latest drivers from the manufacturer's website.

We recommend using AxxonSoft Platform Calculator (see AxxonSoft Platform Calculator documentation) to calculate the required video memory for detection tools that use neural networks (see General information on neural analytics).

You can use multiple graphics cards in your system.

...

1. (for Detector Pack 3.14–3.15.1) Turing, Ampere, Ada Lovelace (partially), Hopper, and Blackwell (for Detector Pack 3.15.2 and later) In Windows OS, starting with the Detector Pack 3.15.2 version, the support for Hopper and Blackwell is added for the following detectors: Neural tracker Neural counter Human pose detector Equipment detector Fire detector Smoke detector Neural classifier Barcode detector Water level detector  Stopped object detector Privacy masking Person-based privacy masking
   Drivers	We recommend installing the latest driver version from the official website
   Configuration	You can use up to four GPUs on one server

2. For the correct operation, each detector must meet individualspecificrequirements (see Detectors) to:
   • Hardware platform,
   • Video stream and scene,
   • Image characteristics

For the correct operation of each detection tool, a set of requirements must be met for:

• hardware platform for detection tool operation,
• video stream and scene,
• images.

...

1. • .