Computer Hardware Requirements

When assembling PCs for your VisionPro Deep Learning application, refer to the following general guidelines for either a deployment or training PC (see the separate topics for specific requirements applicable to those configurations):

• CPU

  We recommend the higher specification than Intel Core i7. When selecting a CPU, a higher CPU clock speed rate and multiple core processors will result in faster runtime tool execution. If your application will be relying on the Blue Locate tool, it is more sensitive to clock speed rates, particularly with complex model matching applications.

• System Memory (RAM)

  We recommend 32GB or higher.

• Graphics Processing Unit (GPU)

  For training, we recommend GPUs that have 10GB or larger GPU Memory (1080 Ti, 2080 Ti, 3080).

  For the processing of High Detail modes and High Detail Quick modes, GPUs that have 8GB or larger GPU Memory are recommended.

  When selecting a GPU, Cognex only supports NVIDIA GPUs.

• Power Supply

  When selecting your power supply, include a 25% margin above the requirement to accommodate the system and GPU power requirements, in other words, select a power supply that is 1.25 times the system and GPU power requirements.

• USB 2.0

  A USB port for a permanent connection to the Cognex Security Dongle via USB 2.0.

  Note:

  The VisionPro and VisionPro Deep Learning software require that a valid Cognex Security Dongle be installed directly to PCs running the software during all phases of operation (programming, processing, training, testing, etc.). Any attempts to temporarily remove, substitute, or share a Cognex Security Dongle may cause your system to operate incorrectly, and may result in the loss of data.

  When VisionPro Deep Learning is configured for the Client/Server functionality, and a computer has been configured as a server, the Cognex Security Dongle must be attached to the server, but the client(s) does not need a Cognex Security Dongle.