testing.yml

id: 9
title: 'Intel® GPU Device Plug-in'
type: 'building block'
categories:
  - 'Compute & Accelerators'
summary: 'Store, stream, transcode -- offline or real-time conferencing -- OTT, VOD, IPTV in Kubernetes*'
banner:
  title: 'Store, stream, transcode -- offline or real-time conferencing -- OTT, VOD, IPTV in Kubernetes with Intel GPUs and Intel Device Plugins for Kubernetes*'
  description: 'The GPU device plug-in offloads the processing of computation-intensive workloads to GPU hardware'
github_url: 'https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/gpu_plugin/README.md'
architecture_diagram: 'https://01.org/sites/default/files/gpu.png'
benefit_copy: 
  title: ''
  description: |
      The Intel GPU plugin supports the following devices:

      * Integrated GPUs within Intel® Core™ and Intel® Xeon® processors
      * Intel® Visual Compute Accelerator (Intel® VCA)
      
      There are two primary use cases: one is hardware vendor-independent and uses the Intel Media SDK, and the other uses OpenCL™ code tuned for high end Intel devices. For example, the Intel Media SDK can offload video transcoding operations or the OpenCL™ libraries can provide computation acceleration for Intel GPUs.
additional_content:
   title: Additional Content
   md: testing.md
   rst: testing.rst