Create a GPU VM
Deploy a GPU-enabled virtual machine (VM) from the IBEE Solutions console. GPU VMs include dedicated NVIDIA GPUs for AI/ML training, inference, rendering, and other GPU-accelerated workloads.
Before you begin
- An active IBEE Solutions account
- A verified account to unlock server deployment (Verify your account)
- Sufficient wallet credits — the platform checks your balance before deploying (Billing and usage)
Deploy a GPU VM
2. Select Region and Location
Select a region tab and choose a data center location within it. GPU availability varies by location.
3. Select a GPU Plan
Choose a plan based on your GPU, compute, and memory requirements. Plans include dedicated NVIDIA GPUs with varying VRAM, vCPUs, and system RAM. The estimated monthly and hourly cost updates as you select.
4. Select OS
Pick a source for the boot disk under Operating System:
The available OS templates are filtered to show only images compatible with GPU VMs — these include pre-configured NVIDIA driver support.
Verify
Once provisioned, your GPU VM appears in the GPU VMs list with a running status. Click it to open the detail page, which shows the GPU configuration, SSH key names, and assigned IP.
Confirm GPU access inside the VM:
Manage your GPU VM
From the server detail page, use Actions to control your server:
Deleting a GPU VM is permanent and cannot be undone. Back up your data and snapshots before deleting.
Troubleshooting
Deploy Now button is disabled Ensure all required fields are filled — Region, Location, Plan, OS, OS Version, and Hostname.
Billing needs attention popup Your organization’s wallet balance is insufficient. Click Add Credits to top up, then return.
nvidia-smi not found
The NVIDIA driver may not be installed on the selected template. See CUDA and driver setup.
Server stuck in provisioning Wait a few minutes. If the status does not update, contact IBEE support.
