intel-device-plugins-for-kubernetes/demo/readme.md

Intel Device Plugin Demo for Kubernetes

Table of Contents

• Demo overview
• Intel® GPU Device Plugin demo video
• Intel® FPGA Device Plugin demo video
• Intel® QuickAssist Technology Device Plugin OpenSSL demo video
• Intel® QuickAssist Technology Device Plugin with DPDK demo video

Demo overview

Acceleration of compute and data processing of workloads like video transcoding, compression, and encryption is enabled in Kubernetes with the Device Plugin Framework. This repository contains a set of Kubernetes plugins and instructions to enable Intel devices for the acceleration of your workloads orchestrated by Kubernetes.

The current list of supported Intel Device Plugins includes:

• GPU Device Plugin with support for Intel® Graphics Technology
• Intel® FPGA Device Plugin
• Intel® QuickAssist Technology (QAT) Device Plugin

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 on kubernetes.slack.com to ask questions, contribute to the community, and learn about the work we are doing with Kubernetes and the Device Plugin Framework.

Intel® GPU Device Plugin demo video

The screencast demonstrates the deployment of the Intel® GPU Device Plugin for Kubernetes including Kubeless Function as a Service (FaaS) media transcoder JavaScript function. The media transcoding workload is scheduled on two different worker nodes. Only one worker node has a GPU. The time difference in transcoding speed is captured.

Demo platform configuration

• Hardware 2-nodes
  • 1x Virtual Machine on Intel® Xeon® E5-2687 CPU @ 3.0 GHz
  • 1x Intel® NUC KIT NUC6i7KYK (Skull Canyon) with Intel integrated GPU
• Software
  • Ubuntu* 18.04 (Kernel: 4.15.0-36-generic)
  • Kubernetes* 1.11
  • Docker* 18.3.1
  • Intel® GPU Device Plugin built from master branch

Screencast

Intel® FPGA Device Plugin demo video

The screencast demonstrates the deployment of the Intel® FPGA Device Plugin for Kubernetes and executes a native loopback 3 (NLB3) workload. The demo begins with a fully configured Kubernetes cluster with the Go runtime.

Demo platform configuration

• Hardware
  • 1-node, 2x Intel@ Xeon@ Gold 6140M CPU @ 2.30GHz
  • Total memory 377 GB
  • Intel® Arria® 10 GX FPGA
• Software
  • Ubuntu 18.04.2 LTS (Kernel: 4.15.0-60-generic)
  • Kubernetes* 1.13
  • CRI-O 1.13.1
  • Intel® FPGA Device Plugin built from master branch

Demo steps

1. Validate the status of the Kubernetes cluster.
2. Clone the Intel Device Plugins for Kubernetes source.
3. Provision the admission controller webhook.
4. Provision the Intel® FPGA Device Plugin.
5. Build the opae-nlb-demo image
6. Run the NLB3 workload.

Screencast

Intel® FPGA Device Plugin deployment

Intel® QuickAssist Technology Device Plugin OpenSSL demo video

The screencast demonstrates the deployment of the Intel® QAT Device Plugin 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 and security advantages of VMs. The demo begins with a fully configured Kubernetes cluster and Kata Containers runtime for workloads.

Demo platform configuration

• Hardware
  • 1-node, 2x Intel® Xeon® CPU E5-2687W v4 @ 3.00GHz
  • Total memory 251 GB DDR4
  • Intel® QAT C62x chipset
• Software
  • OpenSUSE* 15 (Kernel:4.12.14-lp150.12.22-default)
  • Kubernetes* 1.12
  • Containerd 1.2
  • Kata Containers* 1.3.0
  • Intel® QAT Device Plugin built from master
  • QAT 1.7 L.4.3.0-00033

Demo steps

1. Load the host drivers and prepare the virtual function (VF) devices.
2. Check the Kubernetes cluster is in good shape.
3. Deploy the Intel® QAT device plugin for Kubernetes.
4. Deploy an Intel® QAT Accelerated OpenSSL workload.
5. Testing!

Screencast

Intel® QAT Device Plugin deployment

Intel® QuickAssist Technology Device Plugin with DPDK demo video

Demo steps

1. Check health of Kubernetes nodes.
2. Check for allocatable resources.
3. List QAT Virtual Functions.
4. Deploy QAT Device Plugin as a Daemonset.
5. Check again for allocatable resources.
6. List QAT Virtual Functions again, ensuring they are now bound to DPDK driver.
7. View pod specification file for pod requesting QAT VFs.
8. Create pod requesting QAT VFs.
9. Get a shell to the running container and run a DPDK application.

Screencast

Intel® QAT Device Plugin with DPDK