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VM on Demand provides a seamless way to deploy fully equipped virtual machines optimized for AI and machine learning workflows. Designed for data scientists, researchers, and builders, it enables you to launch high-performance GPU or CPU-powered environments with a few simple clicks. You can scale resources as your workloads grow, monitor performance, and manage deployments, all through an intuitive interface. Whether you are training deep learning models, running data pipelines, or testing ML prototypes, VM on Demand delivers a fast, reliable, and frictionless compute experience.

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Quick Start:

  1. Click Deploy Virtual Machine on the Home tab.
  2. Choose your Processor.
  3. Configure your Virtual Machine.
  4. Monitor your deployment details in the sidebar.
  5. Once the minimum requirements are met, review and deploy your cluster.
  6. Start using your Virtual Machine.
  7. View and manage your virtual machines in the Virtual Machine tab.

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Deploying Clusters

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1. Getting Started

To begin, click the Deploy button in the Virtual Machine row on the Home tab of the io.net Cloud platform.
IO Cloud VM Deploy Home Tab Pn
You can also open the Virtual Machine tab directly and select Deploy Virtual Machine to start a new deployment.
IO Cloud VM Deploy VM Pn

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2. Select your Virtual Machine Processor

Choose a processor based on your requirements. Each card displays its specifications, including:
  • Device Availability
  • Price
  • VRAM per card
  • Storage
  • Supplier
  • Location
IO Cloud VM Choose Cluster Pn
To view detailed technical information, click More details. This will display additional specifications such as interconnect technology, NVLink support, memory, and the number of virtual CPUs (vCPUs). You can refine your selection using the Search GPU Model field or by applying filters. Click Filter to filter by:
  • GPU Family
  • Region
  • Supplier
  • GPU Memory
  • CPU Cores
  • Device Memory
  • Storage
You can apply these filters individually or in combination.
IO Cloud VM Filters Pn
After selecting your Virtual Machine Processor, click Next Step to continue.

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3. Configure Environment and SSH Keys

Set up your environment and link SSH Keys for secure access. You can choose between two image types:
Partner-provided clusters include a preloaded image that cannot be changed.To choose a specific image, select a processor supplied by io.net.
  • General Purpose Image
  • Data Science Image
The General Purpose Image provides a clean, flexible foundation for building any type of compute environment.Specifications:
  • OS: Ubuntu 24.04 (64-bit)
  • Size: 3.5 GB (uncompressed)
  • Includes: CUDA Toolkit and drivers
  • Ideal for: Users who prefer to fully customize their development environment and software stack.
IO Cloud VM General Purpose Image Pn

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4. Add your SSH Key:

Choose one of the following methods to access your VM securely:
Partner-supplied clusters only support Manual SSH key input. You must add your SSH key by entering a key name and pasting your public key directly.To use the Fetch from GitHub feature, select an io.net-supplied processor. This allows you to retrieve your public SSH key automatically by entering your GitHub ID, simplifying setup and secure access.
IO Cloud VM SSH Options Pn
  • Manual Input
  • Fetch from GitHub
Use this option to add your SSH key directly.
  1. Enter a Key Name to identify the key.
  2. Paste your public SSH key into the field provided.
You can repeat these steps to add multiple SSH keys if several users or systems require access. Each key you add will be authorized for SSH connections to your deployed VM.This method is especially useful if you manage SSH keys locally or use multiple machines. It also ensures that you can explicitly control which public keys are linked to your cluster.
Make sure that you paste only the public portion of your SSH key. Private keys should never be uploaded or shared.
Containers7 Jp

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5. Customize your Virtual Machine (Optional)

In this step, you can personalize your deployment by assigning a name and configuring network services.
IO Cloud VM Customize Pn
Cluster Name You can assign a unique name to your cluster to help identify and manage it easily. Enter your preferred name in the Your Cluster Name field. This name will appear throughout your dashboard and logs, making it simpler to distinguish between different clusters or projects. Network Services Network services allow you to expose specific ports on your virtual machine that are necessary for your applications or workflows. These ports enable external access to services running inside your virtual machine, such as APIs, web applications, or databases. By defining network services during setup, you ensure that your required tools and applications are reachable while keeping all other ports securely closed by default. This approach provides flexibility for your workloads without compromising security. You can configure multiple network services depending on your use case. To expose additional ports or services, follow these steps:
  1. Click Add Network Service
  2. Provide the required details:
    • Service Name
    • Port Number
    • Protocol (TCP or UDP)
    • Whitelisted IPs (IPv4 subnet)
  3. Click the + button to add each IP to your whitelist.
Network services and port configurations cannot be changed after virtual machine deployment. Ensure that all required ports are defined before deployment, and expose them in your Docker command inside the VM.
When deploying containers, you must expose ports in two locations:
  1. Inside the VM (Docker):
Specify ports when running your container.
docker run -d -p 8082:8082 your-image-name
  1. io.net Network or Frontend Configuration:
After deployment, the platform assigns external ports that map to your container ports.
These external ports are used to access your services.
Docker port exposure inside the VM does not automatically propagate to the external network. Both configurations are required for external accessibility.

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6. Review and Deploy

A sidebar on the right displays all your deployment details, including:
  • Machine Type
  • Processor
  • Cost
  • GPUs per VM
  • Location
  • Duration type (Hourly, Daily, Weekly, Monthly)
  • Duration
After confirming that all details are correct and the minimum requirements are met, click Pay & Deploy.
IO Cloud VM Deployment and Summary
A payment window will appear where you can complete the transaction using IO Credits, Credit or Debit Cards, USDC, or IO Coin.
IO Cloud VM Payment Pn
Once payment is confirmed, your cluster deployment will begin automatically.

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Viewing Virtual Machines

After deployment, you can view your virtual machines. Navigate to the Virtual Machines tab to monitor performance or launch additional VMs. The Virtual Machines Dashboard allows you to filter clusters by their current status. Click on a specific VM to open its details page. Each Detail page shows you:
  • Real-time resource usage information
  • SSH connection details
  • Billing and usage insights

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Connecting to your Virtual Machine

  1. Locate the SSH Access field on your cluster page and copy the provided command.
Containers9 Jp
  1. Open your Terminal and paste the command, then press Enter.
  2. When prompted to confirm the connection, type yes and press Enter.
  3. Once connected, you will see the welcome message and gain access to your VM through the SSH terminal.