System Requirements

OS

Windows 10/11, Linux Ubuntu 20.04/22.04/24.04/26.04 [1] or Jetson Linux 36/39

Dedicated GPU

A dedicated GPU gives the best performance with Zivid. 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

This is the most cost-efficient solution for Zivid. 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. Which backend to pick depends on your GPU vendor:

Architecture

CUDA

OpenCL

Intel AMD64

No

Yes

NVIDIA AMD64

Optimal [2]

Yes [3]

NVIDIA ARM64 (Jetson)

Yes

No

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

Added support for Ubuntu 26.04. 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.