# About This Release

Cognex ViDi 3.2.0 introduces the following new features and enhancements:

- This release introduces the ViDi Client/Server functionality, allows you to use the training and runtime implementations of the ViDi software on multiple PCs, through the use of a server/client model. This functionality gives you the option of using a remote service for runtime inference and/or training, instead of using the GPU on your local PC. This can be useful if you have a more powerful GPU on the server, or perhaps you do not have a GPU installed locally.

  This functionality supports up to 4 clients for deployment operation, and up to 8 clients for development.

- This release provides enhancements and speed improvements for the ViDi runtime:

  - Support for NVIDIA® Tensor Cores has been added, and the GPU Optimization feature also now supports Tensor Cores.
  - The Low Precision parameter has been added to the Red Analyze and Green Classify tools, which optimizes the tools for speed during runtime operation.
- The Feature Filter has been added to the Blue Locate and Blue Read tools, which allows you to filter found features by ID, X, Y, size and orientation.
- The ViDi GUI and the ViDi Help file have been translated into Simplified Chinese. To view the GUI and Help in Chinese, the OS language setting must be set to Simplified Chinese.
- Support for up to 32MP images (up to 16k in height or width) has been added.

Note:

- The VisionPro, Designer and ViDi software require that a valid Cognex Dongle be installed during all phases of operation. Any attempts to temporarily remove, substitute, or share a Cognex Dongle may cause your system to operate incorrectly, and may result in the loss of data.

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

- For more information about the new API functionality, see the ViDi .NET Library documentation.