Getting Started on Amazon EC2 VT1¶
Amazon EC2 VT1 Configurations¶
The following table summarizes the number of Alveo U30 cards and Xilinx devices for each of the different instance sizes of the Amazon EC2 VT1 family. For more details about the transcoding performance of these different configurations, refer to the performance tables in the Specs and Features page of this documentation.
Instance Type |
Number of U30 Cards |
Number of Transcode devices |
---|---|---|
vt1.3xl |
1 |
2 |
vt1.6xl |
2 |
4 |
vt1.24xl |
8 |
16 |
Quick Start Guide for Amazon EC2 VT1¶
Launch an Amazon EC2 VT1 Instance
Follow the instructions at Launch an Amazon EC2 Instance
When choosing the instance type in the EC2 console, make sure to select the Amazon EC2 VT1 instance family.
When choosing an Amazon Machine Image (AMI), make sure to select version 3.0 of one of the Xilinx Video SDK AMI for VT1 Instances
To get more information about Amazon EC2 VT1 instances sizes and pricing see the VT1 web page
Connect to the Amazon EC2 VT1 Instance
After launching the instance, follow the instructions in Connect to your instance to connect to the instance.
Set up the runtime environment:
source /opt/xilinx/xcdr/setup.sh
This step should be performed each time you open a new terminal on your instance.
You are now ready to use the video acceleration features of your Amazon EC2 VT1 instance.
Confirm that your system is correctly configured and that the Xilinx devices are visible:
xbutil examine
Run your first examples
See the tutorials and examples page to learn how to run video transcoding jobs on your Amazon EC2 VT1 instance.
Installing the Xilinx Video SDK on an existing AMI¶
In order to use a custom AMI on a Amazon EC2 VT1 instance, it is necessary to install the Xilinx Video SDK in the AMI. This section explains how to do this. These steps are not necessary when using the public Xilinx Video SDK AMI since it already includes a complete installation of the Xilinx Video SDK and can readily be used on a Amazon EC2 VT1 instance.
Additionally, AWS provides Packer scripts to make it easy for customers to build their own AMI’s for use with VT1 instances. Those scripts can be found at the following repo: https://github.com/aws-samples/aws-vt-baseami-pipeline
Disable automatic kernel updates on your system
Install the following required packages if they are not already present
RHEL
sudo yum install https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
Amazon Linux 2
sudo amazon-linux-extras install epel -y
Remove older versions of the Xilinx Video SDK packages in case any where previously installed
Ubuntu
sudo apt-get remove xvbm xilinx-u30-xvbm xrmu30decoder xrmu30scaler xrmu30encoder xmpsoccodecs xmultiscaler xlookahead xmaapps xmapropstojson xffmpeg launcher jobslotreservation xcdr sudo apt-get remove xrm xilinx-container-runtime xilinx-xvbm xilinx-u30-xrm-decoder xilinx-u30-xrm-encoder xilinx-u30-xrm-multiscaler xilinx-u30-xma-multiscaler xilinx-u30-xlookahead xilinx-u30-xmpsoccodecs xilinx-u30-xma-apps xilinx-u30-xmapropstojson xilinx-u30-xffmpeg xilinx-u30-launcher xilinx-u30-jobslotreservation xilinx-u30-xcdr xilinx-u30-gstreamer-1.16.2 xilinx-u30-vvas xilinx-sc-fw-u30 xilinx-u30-gen3x4-base xilinx-u30-gen3x4-validate
RHEL and Amazon Linux 2
sudo yum remove xvbm xilinx-u30-xvbm xrmu30decoder xrmu30scaler xrmu30encoder xmpsoccodecs xmultiscaler xlookahead xmaapps xmapropstojson xffmpeg launcher jobslotreservation xcdr sudo yum remove xrm xilinx-container-runtime xilinx-xvbm xilinx-u30-xrm-decoder xilinx-u30-xrm-encoder xilinx-u30-xrm-multiscaler xilinx-u30-xma-multiscaler xilinx-u30-xlookahead xilinx-u30-xmpsoccodecs xilinx-u30-xma-apps xilinx-u30-xmapropstojson xilinx-u30-xffmpeg xilinx-u30-launcher xilinx-u30-jobslotreservation xilinx-u30-xcdr xilinx-u30-gstreamer-1.16.2 xilinx-u30-vvas xilinx-sc-fw-u30 xilinx-u30-gen3x4-base xilinx-u30-gen3x4-validate
Ensure your package management client points to the remote package repository for the Xilinx Video SDK, according to the instructions described in the package feed configuration page.
Install the core package of the Xilinx Video SDK. Note: it is imperative for the XRT package to be set to version 2.11.722.
Ubuntu
sudo apt-get update sudo apt-get install xrt=2.11.722 sudo apt-mark hold xrt sudo apt-get install xilinx-alveo-u30-core
RHEL and Amazon Linux 2
sudo yum update sudo yum install yum-plugin-versionlock sudo yum install xrt-2.11.722-1.x86_64 sudo yum versionlock xrt-2.11.722 sudo yum install xilinx-alveo-u30-core
Optionally install the other packages of the Xilinx Video SDK. Refer to the package description table for more details on the different packages included in the Xilinx Video SDK. Note: on RHEL, installing the GStreamer package requires an active RHEL subscription.
Ubuntu
sudo apt-get install xilinx-alveo-u30-ffmpeg sudo apt-get install xilinx-alveo-u30-gstreamer sudo apt-get install xilinx-alveo-u30-examples
RHEL and Amazon Linux 2
sudo yum install xilinx-alveo-u30-ffmpeg sudo yum install xilinx-alveo-u30-gstreamer sudo yum install xilinx-alveo-u30-examples
Perform a warm reboot of the instance.
Setting Up the Runtime Environment¶
Note: These steps below should be performed each time you open a new terminal on your system.
Set up the runtime environment:
source /opt/xilinx/xcdr/setup.sh
Optionally verify that the cards are correctly detected:
xbutil examine
You are now ready to use the Xilinx video acceleration cards installed in your system.
Working with Containers¶
For instructions on how to work with Docker containers, refer to the Container Setup page of this documentation.
addition, the user guide for Amazon ECS can be found here: https://docs.aws.amazon.com/AmazonECS/latest/developerguide/getting-started.html
Working with Kubernetes¶
For instructions on how to deploy Docker containers with Kubernetes and EKS, refer to the Deploying with Kubernetes page of this documentation. A comprehensive step-by-step guide on the AWS Compute Blog can be found here: https://aws.amazon.com/blogs/compute/deep-dive-on-amazon-ec2-vt1-instances/
addition, the user guide for Amazon EKS can be found here: https://docs.aws.amazon.com/eks/latest/userguide/getting-started.html