System Requirements

OS

Windows 10/11, Linux Ubuntu 20.04/22.04/24.04 [1] or Jetson Linux 36/39

Dedicated GPU

It is also the best choice if the GPU will be used for more than Zivid’s computations. A medium to high-end NVIDIA GPU with at least 3 GB of memory is required for optimal performance. This is the preferred solution for Zivid.

Recommendations:

  • NVIDIA GeForce GTX 1060 or better

  • NVIDIA GeForce MX150 or better

CPU with integrated GPU

The benefit of an integrated GPU is that the data transfer from GPU to CPU is fast. It is also beneficial for applications that require low power consumption, e.g., battery-powered mobile platforms. A high-end integrated GPU with at least 3 GB of memory available is required for optimal performance.

Recommendations:

  • Intel i7 with HD630 or better

Ethernet

Full performance:

  • 10GBASE-T (10G Copper Ethernet) adapter connected via PCI Express or Thunderbolt 3

Reduced performance:

  • 1000BASE-T and NBASE-T (1G, 2.5G, and 5G over copper) connections

Recommendations:

  • ASUS XG-C100C 10G Network Adapter PCI-E x4 Card

  • QNAP QNA series Thunderbolt 3 to 10GbE Adapter

GPU compute backend

Zivid SDK runs on one of two GPU compute backends, chosen when you install the SDK:

CUDA

For NVIDIA GPUs (recommended). Requires an NVIDIA driver that supports CUDA 12 or newer (check with nvidia-smi).

OpenCL

For Intel and NVIDIA GPUs.

See About GPU for driver installation and how to select a compute device.

Check out the Recommended Industrial PCs if you need recommendations for compute devices.

Version History

SDK

Changes

2.18.0

Updated the supported Jetson Linux versions from 35/36 to 36/39.

2.17.0

Added support for Zivid 3 XL250.

2.14.0

Added support for Zivid 2+ MR130, LR110, and MR60.

2.12.0

Zivid One+ has reached its End-of-Life and is no longer supported.