How to Install NVIDIA GPU Cloud Virtual Machine Image on Alibaba Cloud

By NVIDIA

NVIDIA makes available on the Alibaba Cloud platform a customized image optimized for the NVIDIA Pascal? and Volta? -based Tesla GPUs. Running NGC containers on this virtual machine (VM) instance provides optimum performance for deep learning jobs.

For those familiar with the Alibaba platform, the process of launching the instance is as simple as logging into Alibaba, selecting the “NVIDIA GPU Cloud Machine Image” and one of the supported NVIDIA GPU instance types, configuring settings as needed, then launching the VM. After launching the VM, you can SSH into it and start running deep learning jobs using framework containers from the NGC container registry.

This article provides step-by-step instructions for accomplishing this.

Prerequisites

These instructions assume the following:

Preliminary Setup

Perform these preliminary setup tasks to simplify the process of launching the NVIDIA GPU Cloud machine image.

Setting Up SSH Keys

If you do not already have SSH keys set up specifically for Alibaba, you will need to set one up and have it on the machine you will use to SSH to the VM. In the examples, the key is named “alibaba-key”.

  • mv alibaba-key.pem ~/.ssh/ chmod 400 ~/.ssh/alibaba-key.pem

Setting Up a Security Group

In order to create instances, you need to put them in a Security Group.

(Optional) Installing Alibaba CLI

To use the Alibaba CLI, follow the Alibaba CLI Install Instructions and also install the ECS SDK.

  • sudo pip install aliyun-python-sdk-ecs
  • aliyuncli configure

Launching an NVIDIA GPU Cloud VM with the Alibaba Console

Creating the NVIDIA GPU Cloud VM Instance

Connecting to the VM Instance with SSH

Once started, you can SSH into your instance using the SSH key for the root user. If you followed the setup in this tutorial, your key is in ~/.ssh/.

Command syntax:

ssh -i <KEYPATH> root@<IP>

Example:

ssh -i ~/.ssh/alibaba-key.pem root@47.89.248.188

Refer to Connect to a Linux Instance for more instructions on connecting to your instance.

Launching an NVIDIA GPU Cloud Virtual Machine Image Using Alibaba CLI

Using Example Python Scripts

A comprehensive set of example Python scripts for automating the CLI are provided at https://github.com/nvidia/ngc-examples/tree/master/ncsp. You can download the scripts and modify them to meet your requirements. The code examples that follow use similar environment variables and structure as the scripts.

Using the Instructions in This Chapter

This flow and the code snippets in this section are for Linux or Mac OS X. If you are using Windows, you can use the Windows Subsystem for Linux and use the bash shell (where you will be in Ubuntu Linux).

Many of these CLI command can have significant delays.

For complete CLI documentation and sample scripts visit the Alibaba Documentation Center.

Getting the NGC VMI Image ID

Once started, you can SSH into your instance using the SSH key for the root user. If you followed the setup in this tutorial, your key is in ~/.ssh/.

You need to specify a source ImageID when creating an instance. Use this command to find the latest ImageID of the NVIDIA-GPU-Cloud-Machine-Image:

aliyuncli ecs DescribeImages --RegionId us-west-1 \  --ImageName "NVIDIA-GPU-Cloud-Virtual-Machine" \  --output json --filter Images.Image[0].ImageId

It will output the Image ID such as “m-rj9iy0xjiod3ghkyhz4p”

Creating Your VM Instance

Creating an instance with the CLI is done using the aliyuncli ecs CreateInstancecommand.

Full syntax documentation — https://www.alibabacloud.com/help/doc-detail/25499.htm

Recommended Instance Options

Other Notable Create Instance Options

Launch Example

Launch the instance and capture the resulting JSON:

aliyuncli ecs CreateInstance \
--RegionId us-west-1 \
--ImageId "m-rj9iy0xjiod3ghkyhz4p" \
--SecurityGroupId "sg-rj94krsusal2k5l6gnnz" \
--InstanceType ecs.gn5-c4g1.xlarge \
--InstanceName "my-instance" \
--InternetMaxBandwidthOut 10 \
--InstanceChargeType PostPaid \
--KeyPairName alibaba-key

The output shows the instance ID.

{
"InstanceId": "i-rj9a0iw25hryafj0fm4v",
"RequestId": "440ECC70-09F9-492C-AB9E-21AA9C4E0531"
}

Assigning a Public IP Address

Instances created via CLI are not automatically given a public IP address.

To assign a public IP address to the instance you just created, run:

aliyuncli ecs AllocatePublicIpAddress --RegionId us-west-1 \
--InstanceId "i-rj9a0iw25hryafj0fm4v"

Successful completion of the command will return the IP address:

{
"IpAddress": "47.89.248.188",
"RequestId": "65EB59AE-FA75-446F-B5C7-2BA0F9A77CDC"
}

Starting the Instance

Instances created via CLI are not started automatically.

To start the instance you just created, run:

aliyuncli ecs StartInstance --InstanceId "i-rj9a0iw25hryafj0fm4v"

Connecting to the VM Instance with SSH

Once started, you can SSH into your instance using the SSH key for the root user. If you followed the setup in this tutorial, your key is in ~/.ssh/.

Command syntax:

ssh -i <KEYPATH> root@<IP>

Example:

ssh -i ~/.ssh/alibaba-key.pem root@47.89.248.188

Refer to Connect to a Linux Instance for more instructions on connecting to your instance.

Starting, Stopping, or Deleting Your VM Instance

Once an instance is running, you can stop, (re)start, or delete your instance.

Stop:

aliyuncli ecs StopInstance --InstanceId INSTANCE_ID

Start or Restart:

aliyuncli ecs StartInstance --InstanceId INSTANCE_ID

Delete:

aliyuncli ecs DeleteInstance --InstanceId INSTANCE_ID

Source: https://docs.nvidia.com/ngc/ngc-alibaba-setup-guide/index.html

Reference:https://www.alibabacloud.com/blog/how-to-install-nvidia-gpu-cloud-virtual-machine-image-on-alibaba-cloud_594361?spm=a2c41.12499420.0.0

Follow me to keep abreast with the latest technology news, industry insights, and developer trends.