GPU 要件

Either a CUDA (12 or later) or an OpenCL driver (1.2 or later) for the GPU is necessary to use Zivid.

• For Windows, the driver is usually installed together with the graphics driver: NVIDIA, Intel.

• For Linux, install the GPU driver for your backend: see GPU について for installing the NVIDIA driver (CUDA backend) or the OpenCL driver.

Follow the instructions on how to check whether you have OpenCL. For the CUDA backend, check that nvidia-smi reports an NVIDIA driver that supports CUDA 12 or later.

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.

要件：

• NVIDIA GPUs must meet a minimum compute capability, which differs between the two compute backends:

  • CUDA backend: compute capability 6.1 or higher. This covers the GTX 10-series and everything newer, so cards from 2016 onwards. The exception lists the compute capabilities the installed package was built for:

    Detected compute capability X.Y, which is not supported. Supported versions: (6.1, 7.0, 7.5, 8.0, 8.6)

    Setting AllowUnsupported does not make the CUDA backend work below this minimum. The packages contain no code for older architectures, so the capture fails later instead. Use a newer GPU, or the OpenCL version of the SDK.

  • OpenCL backend: no practical limit. The requirement is OpenCL 1.2 support, which every NVIDIA card new enough to have an OpenCL driver provides. A compute capability floor of 3.5 exists in the SDK, but no driver that meets the OpenCL requirement falls below it, so in practice the OpenCL version covers the full range of NVIDIA cards:

    The compute capability X.Y of the Nvidia compute device is lower than the minimum required compute capability 3.5. Update to a supported compute device by consulting <link>.

  A GPU below 6.1 therefore works with the OpenCL backend but not with the CUDA backend. Be aware that the OpenCL version of the SDK rejects every NVIDIA GPU regardless of compute capability until you opt in to unsupported compute devices in the Config.yml file. The 3.5 minimum applies only once that opt-in is in place.

  On Jetson the CUDA package is built for the compute capability of the Jetson hardware itself, so this minimum does not apply, and the OpenCL version is not available. See Jetson Linux に Zivid をインストールする.

  NVIDIA GPU とそれに対応するコンピューティング性能の概要については、https://developer.nvidia.com/cuda-gpus を参照してください。

推奨事項：

• NVIDIA GeForce GTX 1060 or newer for desktops

• NVIDIA GeForce MX150 or newer for laptops

  注意

  Ubuntu 18.04 のサポートは SDK 2.10 以降削除されました。以前の SDK バージョンの Ubuntu 18.04 の手順を確認するには、左上隅のナレッジベースのバージョンを変更してください。

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.

推奨事項：

• HD630 以上を搭載した Intel i7

  注意

  Ubuntu 18.04 のサポートは SDK 2.10 以降削除されました。以前の SDK バージョンの Ubuntu 18.04 の手順を確認するには、左上隅のナレッジベースのバージョンを変更してください。

Tip

低消費電力を必要とするアプリケーション（カメラを備えたバッテリー駆動のモバイルプラットフォームなど）には、統合 GPU を備えた CPU を使用してください。

バージョン履歴

SDK	変更点
2.18.0	Added support for the CUDA compute backend for NVIDIA GPUs.
2.11.0	AMD は推奨されなくなりました。 SDK での公式サポートは削除されました。 Zivid ソフトウェア用にサポートされていないコンピューティングデバイスを有効にする を参照してください。
2.10.0	Ubuntu 18.04 のサポートは終了しました。