mirror of
https://github.com/intel/intel-device-plugins-for-kubernetes.git
synced 2025-06-03 03:59:37 +00:00
gpu_plugin: README.md update
Move remark about GVT-d to end of introduction. Remove remarks about GVT-g for the time being. Signed-off-by: Ukri Niemimuukko <ukri.niemimuukko@intel.com>
This commit is contained in:
parent
37bcb9057f
commit
7244bd0f25
@ -17,9 +17,7 @@
|
|||||||
|
|
||||||
# Introduction
|
# Introduction
|
||||||
|
|
||||||
The GPU device plugin for Kubernetes supports Intel
|
The GPU device plugin for Kubernetes supports acceleration using the following Intel GPU hardware families:
|
||||||
[GVT-d](https://github.com/intel/gvt-linux/wiki/GVTd_Setup_Guide) device passthrough
|
|
||||||
and acceleration, supporting GPUs of the following hardware families:
|
|
||||||
|
|
||||||
- Integrated GPUs within Intel Core processors
|
- Integrated GPUs within Intel Core processors
|
||||||
- Integrated GPUs within Intel Xeon processors
|
- Integrated GPUs within Intel Xeon processors
|
||||||
@ -33,8 +31,8 @@ There are two primary use cases:
|
|||||||
|
|
||||||
For example, the Intel Media SDK can offload video transcoding operations, and the OpenCL libraries can provide computation acceleration for Intel GPUs
|
For example, the Intel Media SDK can offload video transcoding operations, and the OpenCL libraries can provide computation acceleration for Intel GPUs
|
||||||
|
|
||||||
For information on Intel GVT-g virtual GPU device passthrough (as opposed to full device passthrough), see
|
The device plugin can also be used with [GVT-d](https://github.com/intel/gvt-linux/wiki/GVTd_Setup_Guide) device
|
||||||
[this site](https://github.com/intel/gvt-linux/wiki/GVTg_Setup_Guide).
|
passthrough and acceleration.
|
||||||
|
|
||||||
# Installation
|
# Installation
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user