Create a GPU VM | ibee | Documentation

Deploy one or more GPU-enabled virtual machines (VMs) from the IBEE Solutions portal. GPU VMs include NVIDIA GPUs for AI/ML training, inference, rendering, and other GPU-accelerated workloads. The Deploy page is a single scrolling form with a running summary and the Deploy button in the bottom bar.

Before you begin

An IBEE Solutions account with write access to the workspace.
A verified account to unlock server deployment (Verify your identity).
Sufficient wallet credits — the platform checks your balance before deploying (Billing and usage).

Deploy a GPU VM

1. Open GPU VMs

In the portal sidebar, open Infrastructure → GPU VMs, then click Deploy GPU VM.

2. Select a location

Under Location, select a region tab and choose a data center location within it. GPU availability varies by location.

3. Choose a GPU plan

Under Choose Plan, select a plan. Each row lists the GPU model and its Memory, plus vCPU, RAM, Disk, and the price per month and per hour. GPU VMs are billed Hourly.

4. Select the operating system

Pick a source for the boot disk under Operating System:

Tab	Use it for
Templates	OS images maintained by IBEE. The default. Only GPU-compatible images are listed.
ISOs	Boot from an ISO you added under Tools → ISOs. Interactive installs need a console, which isn’t available in the portal yet.
Snapshots	Create the VM from a snapshot captured from another VM.
Backups	Create the VM from a scheduled backup recovery point.

On Templates, pick an OS family card, then choose a version from the OS Version dropdown.

5. Add SSH keys (Linux)

For Linux images, the SSH Keys section appears (it’s hidden for Windows images). Open Select SSH Keys and pick one or more saved keys, or click Add Key to create a key pair or import a public key. A Linux VM deployed without a key uses password login, shown under Overview → Connection Details. See SSH Keys.

6. Configure the network

Under Network Configuration, choose Internet and VPC access:

Public IP (default) — direct inbound and outbound IPv4. Optionally pick a VPC and subnet; with a VPC you can also pick a Reserved public IP (required for a private VPC).
Private + NAT — primary interface in a NAT Gateway VPC with outbound internet only.
Private only — primary interface in a VPC with no internet route.

Under Firewall, pick a firewall group or click Create Group. If you don’t pick one, the default firewall group is attached automatically.

See Networking for VMs for details — the options are the same as for Cloud VMs.

7. Set VM details

Under VM Details:

Instances — deploy up to 5 VMs at once. The maximum can be lower when GPU capacity or public addresses in the location are limited, and it’s 1 when you pick a specific Reserved IP.
Hostname — use lowercase letters, numbers, and hyphens. With more than one instance, this becomes the base hostname and each instance is prefilled as <base>-1, <base>-2, and so on; edit them under Instance hostnames. Every hostname must be unique.

8. Deploy

Review the summary in the bottom bar, then click Deploy (or Deploy N VMs). The platform first checks your organization’s billing state and wallet balance. If the check passes, provisioning starts and you return to the GPU VMs list. If not, a Billing needs attention popup appears — click Add Credits to top up and return.

Verify

Once provisioned, your GPU VM appears in the GPU Virtual Machines list with status Running. Click it to open the detail page. Overview → Connection Details shows the SSH command (or username and password, or RDP details for Windows).

Confirm GPU access inside the VM:

nvidia-smi

If nvidia-smi isn’t found, install a compatible NVIDIA driver for your OS inside the VM.

Manage your GPU VM

From the VM detail page, use Actions to control your server:

Action	Description
Start	Power on a stopped server
Stop	Shut down a running server
Reboot	Restart the server
Console	Shown as Soon — browser console access isn’t available in the portal yet
Delete	Permanently delete the server — you type the VM name to confirm, and can choose to keep its public IP as a Reserved IP

The detail page has these tabs:

Tab	What it’s for
Overview	Specs, network, and Connection Details.
Monitoring	CPU, memory, storage, disk, and network charts, plus recent activity. See Monitoring.
GPU Metrics	GPU utilization, VRAM, temperature, and power. Click Enable monitoring first — see GPU Metrics.
Backups / Snapshots	Recovery points. See Backups and Snapshots.
Settings	Change Plan, IPv4 & Reserved IP, VPC Networks, and Access (SSH keys, password login, password reset). Change OS and Hostname aren’t available yet. See Resize a VM and Networking for VMs.

Deleting a GPU VM is permanent and cannot be undone. Back up your data and snapshots before deleting.

Troubleshooting

Deploy shows an error message The portal validates the form when you click Deploy and names the missing item — for example a plan, an OS version, a subnet, or a unique hostname for each instance.

Billing needs attention popup Your organization’s billing state or wallet balance blocks the deploy. Click Add Credits to top up, then return.

nvidia-smi not found The NVIDIA driver isn’t installed on the selected image. Install a compatible NVIDIA driver inside the VM. The GPU Metrics tab also shows NVIDIA guest driver required until it’s installed.

Server stuck in provisioning Wait a few minutes. If the status does not update, contact IBEE support.