Monitor & Manage Clusters

To access the dashboard, log into io.net and select Manager Clusters.

View Your Cluster

To see all the details about your cluster, click on it in the Cluster tab. The screenshot below highlights what you can expect to see in a hired, active cluster.

Clusters Tab

The Clusters tab provides a quick overview of all your clusters, both active and inactive.

Sort Clusters

Use the sorting options to find the cluster you’re looking for easily. Sort by status (Running, Completed, Failed, Destroyed) or search by keyword.

Cluster Management Actions

These actions can be done if a cluster is currently running.

Terminate Cluster

Click Terminate Cluster in the bottom right to end your session.

Extend Cluster

To keep your cluster active for longer, simply click Extend Cluster. You’ll be charged the same amount as your original transaction.

Actions

A completed cluster provides the option to archive the cluster. Click Archive in the bottom right to archive this cluster. Run Jobs and Monitor Your Cluster Ready to start working on your cluster? You can run your jobs using either Visual Studio or Jupyter Notebook. The Ray Dashboard lets you manage and monitor everything, including your cluster and running jobs. On your cluster’s details page, grab the IDE Password, and then click on Jupyter Notebook, Visual Studio, or the Ray Dashboard to get started

To access your application, enter the IDE Password.

Once your cluster’s time expires, you’ll lose access to the IDEs and the Ray Dashboard.

Archive a Cluster

Once a cluster is complete, you can archive it. Click Archive at the bottom right to archive a cluster.

🚧 You can’t renew a cluster after it’s completed.

Cluster Information

Click on a cluster in the Cluster tab to view the details associated with the cluster. In the screenshot below, a completed cluster has been selected.

Monitor the following on the right:

Action	Description
Compute Hours	Shows how long a single instance has been running and consuming resources. Includes “Served” and “Remaining” times.
Funds Used or Refunded	The amount you’ve spent or had refunded for cluster operations.
Connectivity Tier	Your chosen level of connectivity for the cluster (download / upload speeds).
Security Compliance	The selected security setting (e.g. end-to-end encryption).
Locations	Geographic location(s) where your GPUs are located.

Monitor the following on the left:

Action	Definition
All Workers	Allows you to filter the view by selecting different groups of workers. This option is currently set to show all workers in the cluster.
[#] Workers	Indicates that the dashboard currently shows four workers in the cluster that are active or relevant to the task being monitored. The panel below labels these workers as “IO Worker 1,” “IO Worker 2,” and so on.
[#] GPUs	Shows that there are 4 GPUs (Graphics Processing Units) in use across the cluster. Each worker seems to have one GPU assigned to it, as indicated by the details in each worker’s panel.
Search	The search bar allows you to quickly find specific workers, GPUs, or tasks by searching based on keywords, worker names, device IDs, or other identifiers.

Detailed information for each worker

Feature	Description
Decentralized Network	IO Cloud uses a network of computers (called “IO workers”) to create powerful GPU clusters. This means you’re not relying on a single company for your computing power.
Self-healing	If one part of the cluster has issues, the others automatically take over, keeping your projects running smoothly.
Easy to Use	You can easily run your AI projects using Python code, just like on any other cloud platform.
Built on Industry-leading Technology	IO Cloud is powered by the same technology used by OpenAI to train its powerful AI models, such as GPT-3 and GPT-4.

Selecting a worker shows you the following

Feature	Description
Worker Name and Status	Indicates the worker’s status, such as Completed, Running, Pending, or Failed. A green dot signifies successful completion.
Device ID	The unique identifier for the specific GPU device in the worker node.
GPU Information	GeForce RTX 3060 Ti (GPU type): Each worker is equipped with an NVIDIA GeForce RTX 3060 Ti GPU. x1: Number of GPUs utilized (in this case, one unit). Uptime in Cluster: Displays uptime, showing that the worker has been fully operational without downtime for the monitored period.
Activity Consistency Status Bar	A visual representation of the worker’s uptime, consisting of 10 white squares filled in to indicate 100% uptime.

Getting Started with IO Cloud

IO Cloud Payments

Run Jobs on Clusters

Monitor & Manage Clusters

View Your Cluster

Clusters Tab

Sort Clusters

Cluster Management Actions

Terminate Cluster

Extend Cluster

Actions

Archive a Cluster

Cluster Information

Monitor the following on the right:

Monitor the following on the left:

Detailed information for each worker

Selecting a worker shows you the following

​View Your Cluster

​Clusters Tab

​Sort Clusters

​Cluster Management Actions

​Terminate Cluster

​Extend Cluster

​Actions

​Archive a Cluster

​Cluster Information

​Monitor the following on the right:

​Monitor the following on the left:

​Detailed information for each worker

​Selecting a worker shows you the following

View Your Cluster

Clusters Tab

Sort Clusters

Cluster Management Actions

Terminate Cluster

Extend Cluster

Actions

Archive a Cluster

Cluster Information

Monitor the following on the right:

Monitor the following on the left:

Detailed information for each worker

Selecting a worker shows you the following