VMX Cloud GPU Quickstart Guide

July 4, 2024 VMX Cloud GPU

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:

  1. VMX Cloud GPU: Full or fractional GPU cards
  2. VMX Bare Metal Cloud: Servers with optional GPU cards (coming soon)

Deployment Steps

  1. Choose server type: “VMX Cloud GPU Instance
  2. Select the desired CPU, Memory and Storage option
  3. Pick your server datacenter locatione
  4. Specify the required Operating System
  5. Configure additional available options (backups, IPv6, DDOS protection, SSH keys)
  6. 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

  1. Find your server’s IP address and credentials in the Customer Dashboard
  2. 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.