Merge pull request #650 from skaajas/main

Updated GPU device plugin documentation.

Author: bart0sh

README.md

@@ -44,13 +44,10 @@ The below sections detail existing plugins developed using the framework.
 
 ### GPU device plugin
 
-The [GPU device plugin](cmd/gpu_plugin/README.md) supports Intel
-[GVT-d](https://github.com/intel/gvt-linux/wiki/GVTd_Setup_Guide) device passthrough
-and acceleration using GPUs of the following hardware families:
-
+The [GPU device plugin](cmd/gpu_plugin/README.md) supports Intel GPUs of the following hardware families:
+- Intel Xe discrete GPUs, including Xe-LP, Xe-HPG and Xe-HP SDV
 - Integrated GPUs within Intel Core processors
-- Intel Xeon processors
-- Intel Visual Compute Accelerator (Intel VCA)
+- Integrated GPUs Intel Xeon processors
 
 The demo subdirectory contains both a [GPU plugin demo video](demo/readme.md#intel-gpu-device-plugin-demo-video)
 as well as code for an OpenCL [FFT demo](demo/ubuntu-demo-opencl).

cmd/gpu_plugin/README.md

@@ -20,17 +20,21 @@ Table of Contents
 
 The GPU device plugin for Kubernetes supports acceleration using the following Intel GPU hardware families:
 
+- Intel Xe discrete GPUs, including Xe-LP, Xe-HPG, Xe-HP SDV and XG310 
 - Integrated GPUs within Intel Core processors
 - Integrated GPUs within Intel Xeon processors
 - Intel Visual Compute Accelerator (Intel VCA)
 
 The GPU plugin facilitates offloading the processing of computation intensive workloads to GPU hardware.
-There are two primary use cases:
+Use cases include:
 
-- hardware vendor-independent acceleration using the [Intel Media SDK](https://github.com/Intel-Media-SDK/MediaSDK)
-- OpenCL code tuned for high end Intel devices.
+- Media transcode 
+- Media analytics
+- Cloud gaming
+- High performance computing
+- AI training and inference
 
-For example, the Intel Media SDK can offload video transcoding operations, and the OpenCL libraries can provide computation acceleration for Intel GPUs
+For example, Intel oneAPI Video Processing Linbrary can offload video transcoding operations, and OpenCL or oneAPI Level Zero libraries can provide computation acceleration for Intel GPUs.
 
 The device plugin can also be used with [GVT-d](https://github.com/intel/gvt-linux/wiki/GVTd_Setup_Guide) device
 passthrough and acceleration.