Manage Instance¶
Learn how to create and manage a compute instance. Available Instance Types are bare metal and virtual machines (VM).
Launch an Instance¶
Log in to Intel® Tiber™ AI Cloud.
In the left side menu, click Catalog > Hardware.
In the Hardware tab, select an instance from the options.
Create an Instance¶
Select options from pull-down menus to configure your instance.
From Instance family, select your choice.
From Instance Type, select your choice.
Tip
Optionally, select Compare instance types to compare instances’ specifications.
From Machine image, select your choice.
In Instance name, enter a name in lowercase. Optional: Use hyphens.
Under Public Keys, select checkbox for SSH public keys added previously.
Optional: One-Click connection. Select the radio button to enable single-click access for future use.
Note
Currently, One-Click connection is only available in selected regions.
Selecting One-Click connection is only performed once. You cannot add or remove this functionality after you launch an instance.
Continue in next section.
Connect to an Instance¶
View your instance in the Instances tab.
Assure your instance State shows Ready. See also Instance States.
Choose a method to connect:
One-click Connection¶
Try One-Click connection via JupyterLab.
Tip
You must select “One-Click connection” before launching an instance for this option to be available. See Create an Instance.
Click the Connect button in the row where your instance appears.
Select the Terminal icon to access your instance.
You’re all set.
Connect via Local Terminal¶
Connect via Terminal from your local machine.
Under Instance Name, click on your instance name.
Select How to Connect via SSH.
A new pop-up dialog appears:”How to connect to your instance”.
Continue in next section.
Follow the onscreen instructions in the dialog.
Select your operating system (OS).
Follow instructions.
Copy the command shown to connect to your instance.
Open a Terminal.
In the Terminal, paste the command you copied and press enter.
If prompted to add your public key, select Yes.
After launching instance, run command to confirm Ubuntu 22.04 (or other).
cat /etc/os-release
Instance States¶
The State reflects the status of a compute instance.
Provisioning¶
After launching an instance, State shows Provisioning in the dashboard.
Wait until State shows Ready.
Ready¶
When State shows Ready, you may launch your instance.
A connection is established with the host.
Continue to Connect to an Instance.
Edit an Instance¶
Navigate to Compute > Instances from main console.
In the Instances tab, assure that your instance appears.
With your instance, select Edit under Actions.
In the page “Edit Instance”, modify settings as desired.
Example - Upload Public SSH Key¶
Select Create Key.
A dialog, “Upload a Public Key”, appears.
Follow all instructions in the dialog.
Finally, select Create Key.
Update OS and Add Packages¶
While in an SSH session, you can add Ubuntu 22.04 packages and update your OS.
To update and upgrade your OS, enter one command at a time.
sudo apt-get update -y sudo apt-get upgrade -y
Add net-tools or curl
sudo apt-get install net-tools
sudo apt-get install curl
Delete an Instance¶
Navigate to Compute > Instances from main console.
Under Actions, select the Delete button.
At the dialog “Delete instance”, select Delete to confirm your choice.
Select Cancel if you do not wish to delete your instance.
Instance Types¶
Type |
Description |
Current offerings |
Sizes |
Typical Use Case(s) |
---|---|---|---|---|
Bare Metal (BM) |
Bare metal compute instances are intended for general use and deploying CPU, GPU, and AI-accelerated processors. |
4th Generation Intel® Xeon® Scalable processors; Intel® Max Series GPU (PVC); Intel® Gaudi® 2 processor |
256GB and 1TB |
AI and core computing. |
Virtual Machine (VM) |
VM compute instances are intended for managing workloads in CPU and AI applications. They help support developers world-wide to test and experiment with on-demand workloads and applications. A VM requires a hypervisor, which consumes some of its computing power. |
4th Generation Intel® Xeon® Scalable processors; Intel® Data Center GPU Max Series. |
16GB (small), 32GB (medium), and 64GB (large). |
Workload testing and application development using CPUs, GPUs, and memory in the Intel ecosystem. |