VMX Cloud GPU Quickstart Guide
Deploying a VMX Cloud GPU Server
This guide walks you through setting up a SecureWeb Cloud VMX Cloud GPU server for deep learning, data analytics, and High-Performance Computing. Cloud GPU instances allow you to match your workloads to the required processing power, optimizing time and costs.
Server Types
SecureWeb Cloud offers two GPU server options:
- VMX Cloud GPU: Full or fractional GPU cards
- VMX Bare Metal Cloud: Servers with optional GPU cards (coming soon)
Deployment Steps
- Choose server type: “VMX Cloud GPU Instance“
- Select the desired CPU, Memory and Storage option
- Pick your server datacenter locatione
- Specify the required Operating System
- Configure additional available options (backups, IPv6, DDOS protection, SSH keys)
- Set a hostname and label (if available), then click “Deploy now”
Initial Setup
During first boot, cloud-init automatically installs:
- NVIDIA drivers
- CUDA Toolkit
- CUDA Deep Neural Network (cuDNN) library
The server will reboot after installation. Wait for this process to complete before use.
Accessing Your Server
- Find your server’s IP address and credentials in the Customer Dashboard
- Connect as the root user
Verifying Installation
Run nvidia-smi
to confirm successful installation. This command displays:
- Driver version
- CUDA version
- GPU details
Example output:
root@TEST-GPU-SERVER:~# nvidia-smi
Thu May 01 16:20:00 2022
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 510.47.03 Driver Version: 510.47.03 CUDA Version: 11.6 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GRID A100D-4C On | 00000000:04:00.0 Off | 0 |
| N/A N/A P0 N/A / N/A | 0MiB / 4096MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| No running processes found |
+-----------------------------------------------------------------------------+
For more information or for assistance with your deploying your server contact our dedicated support team by email.