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@ -19,9 +19,9 @@ for the acceleration of your workloads orchestrated by Kubernetes.
The current list of supported Intel Device Plugins includes:
- [GPU Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/gpu_plugin/README.md) with support for [Intel® Graphics Technology](https://www.intel.com/content/www/us/en/architecture-and-technology/visual-technology/graphics-overview.html)
- [Intel® FPGA Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/fpga_plugin/README.md)
- [Intel® QuickAssist Technology (QAT) Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/qat_plugin/README.md)
- [GPU Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/gpu_plugin/README.md) with support for [Intel® Graphics Technology](https://www.intel.com/content/www/us/en/architecture-and-technology/visual-technology/graphics-overview.html)
- [Intel® FPGA Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/fpga_plugin/README.md)
- [Intel® QuickAssist Technology (QAT) Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/qat_plugin/README.md)
We have included an example demo and configuration information for the Intel
Device Plugins for Kubernetes below. Please join us on the sig-node-rtk channel
@ -45,7 +45,7 @@ Only one worker node has a GPU. The time difference in transcoding speed is capt
- Ubuntu* 18.04 (Kernel: 4.15.0-36-generic)
- Kubernetes* 1.11
- Docker* 18.3.1
- Intel® GPU Device Plugin built from master branch
- Intel® GPU Device Plugin built from main branch
### Screencast
@ -74,7 +74,7 @@ The demos begin with a fully [configured Kubernetes cluster](https://kubernetes.
- CRI-O 1.13.1 (for orchestrated mode)
- Docker 19.03.1 (for preprogrammed mode)
- runc 1.0.0-rc8
- Intel® FPGA Device Plugin built from master branch
- Intel® FPGA Device Plugin built from main branch
### Demo 3 (OpenCL) platform configuration
@ -86,12 +86,12 @@ The demos begin with a fully [configured Kubernetes cluster](https://kubernetes.
- Centos 7 (Kernel: 3.10.0-1062.12.1.el7.x86_64) on worker node host
- Kubernetes* 1.17
- CRI-O 1.17.3
- Intel® FPGA Device Plugin built from master branch
- Intel® FPGA Device Plugin built from main branch
### Demo steps
1. Validate the status of the [Kubernetes cluster](https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/).
2. Provision the [Intel® FPGA Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/fpga_plugin/README.md).
2. Provision the [Intel® FPGA Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/fpga_plugin/README.md).
3. Create bitstream storage (for orchestrated mode only)
4. Run the NLB3 or OpenCL workload.
@ -119,7 +119,7 @@ This video demonstrates the Intel® Software Guard Extensions ECDSA Quote Genera
- 18.04.5 LTS
- Kubernetes* 1.19
- containerd 1.3.3
- Intel® SGX Device Plugin built from master branch
- Intel® SGX Device Plugin built from main branch
- Intel® SGX SDK 2.12 and DCAP 1.9
- node-feature-discovery 0.6.0
@ -127,7 +127,7 @@ This video demonstrates the Intel® Software Guard Extensions ECDSA Quote Genera
1. Validate the status of the [Kubernetes cluster](https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/).
2. Provision [node-feature-discovery](https://github.com/kubernetes-sigs/node-feature-discovery).
3. Provision the [Intel® SGX Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/sgx_plugin/README.md) using [Intel® Device Plugin Operator](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/operator/README.md).
3. Provision the [Intel® SGX Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/sgx_plugin/README.md) using [Intel® Device Plugin Operator](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/operator/README.md).
4. Check the SGX resources and labels are correctly registered.
5. Run Intel® SGX DCAP ECDSA Quote Generation in both "out-of-proc" and "in-proc" modes.
@ -138,7 +138,7 @@ Intel® SGX Device Plugin and SGX DCAP ECDSA Quote Generation demo
## Intel® QuickAssist Technology Device Plugin OpenSSL demo video
The screencast demonstrates the deployment of the [Intel® QAT Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/master/cmd/qat_plugin/README.md) for
The screencast demonstrates the deployment of the [Intel® QAT Device Plugin](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/qat_plugin/README.md) for
Kubernetes and executes a sample QAT accelerated OpenSSL workload with the OCI
compatible Kata Containers runtime, a lightweight Virtual Machine (VM) that feels
and performs like traditional containers, but provides the workload isolation
@ -156,7 +156,7 @@ and [Kata Containers](https://github.com/kata-containers/documentation/tree/mast
- Kubernetes* 1.12
- Containerd 1.2
- Kata Containers* 1.3.0
- Intel® QAT Device Plugin built from master
- Intel® QAT Device Plugin built from main
- QAT 1.7 L.4.3.0-00033
### Demo steps