Select from available boot source options for your virtual machines
Select from available boot source options to configure how your virtual machine will start and what operating system it will run.
Choose the boot source that best fits your deployment needs:
Pre-configured operating systems optimized for GPU workloads
Boot from existing storage volume (authenticated users only)
Use your own saved VM images (authenticated users only)
Pre-configured operating systems optimized for GPU workloads and machine learning applications.
Latest Long-term Support Release
Ubuntu Server 22.04 LTS R550 CUDA 12.4
Ubuntu Server 22.04 LTS R550 CUDA 12.4 with Docker
Latest Long-term Support Release
Ubuntu Server 22.04 LTS R550 CUDA 12.4
Ubuntu Server 22.04 LTS R550 CUDA 12.4 with Docker
Stable Long-term Support Release
Ubuntu Server 20.04 LTS R535 CUDA 12.2
Ubuntu Server 20.04 LTS R535 CUDA 12.2 with Docker
All OS images include:
GPU Optimization
NVIDIA GPU Support
Development Tools
Pre-installed Development Environment
AI/ML Libraries
Machine Learning Ready
System Configuration
Optimized System Settings
When You Need:
When You Need:
Boot from an existing storage volume that contains a complete operating system and your custom configurations.
Bootable Volume Prerequisites:
Create Volume
Navigate to Volumes and create a new volume:
Customize OS
Deploy a VM using the bootable volume:
Create Snapshot
Take a snapshot of the configured volume:
Use for Deployment
Use the bootable volume for new VM deployments:
Persistent Configurations
Custom Environment Preservation
Rapid Deployment
Fast VM Creation
Team Standardization
Shared Development Environments
Version Control
Environment Versioning
Use your own saved VM images created from snapshots for standardized deployments.
Configure Source VM
Set up a VM with your desired configuration:
Create Snapshot
Take a snapshot of the configured VM:
Verify Image
Test the custom image:
Use for Production
Deploy production VMs using the custom image:
Standardized Deployments
Streamlined Operations
Naming Conventions
Organized Image Management
Example naming:
ml-env-pytorch-2.1-cuda12.4-v1.0
web-app-prod-ubuntu22-v2.3
dev-env-team-alpha-v1.5
Version Control
Image Lifecycle Management
Documentation
Image Documentation
Testing Strategy
Quality Assurance
OS Images
Choose When:
Best For: Development, experimentation, proof of concepts
OS Images
Choose When:
Best For: Development, experimentation, proof of concepts
Bootable Volumes
Choose When:
Best For: Specialized workloads, custom applications
Custom Images
Choose When:
Best For: Production deployments, team environments
Regional Availability:
If you need to deploy across multiple regions:
Plan Multi-Region Strategy
Create Regional Resources
Maintain Consistency
Fastest Boot Times
Configuration-Dependent
OS Image Performance
Optimized Base Performance
Volume Performance
Customizable Performance
Image Performance
Inherited Performance Characteristics
Security Best Practices:
Verify Source Integrity
Apply Security Updates
Configure Security
Start with OS images for development and testing, then move to bootable volumes or custom images for production deployments that require specific configurations.
Select from available boot source options for your virtual machines
Select from available boot source options to configure how your virtual machine will start and what operating system it will run.
Choose the boot source that best fits your deployment needs:
Pre-configured operating systems optimized for GPU workloads
Boot from existing storage volume (authenticated users only)
Use your own saved VM images (authenticated users only)
Pre-configured operating systems optimized for GPU workloads and machine learning applications.
Latest Long-term Support Release
Ubuntu Server 22.04 LTS R550 CUDA 12.4
Ubuntu Server 22.04 LTS R550 CUDA 12.4 with Docker
Latest Long-term Support Release
Ubuntu Server 22.04 LTS R550 CUDA 12.4
Ubuntu Server 22.04 LTS R550 CUDA 12.4 with Docker
Stable Long-term Support Release
Ubuntu Server 20.04 LTS R535 CUDA 12.2
Ubuntu Server 20.04 LTS R535 CUDA 12.2 with Docker
All OS images include:
GPU Optimization
NVIDIA GPU Support
Development Tools
Pre-installed Development Environment
AI/ML Libraries
Machine Learning Ready
System Configuration
Optimized System Settings
When You Need:
When You Need:
Boot from an existing storage volume that contains a complete operating system and your custom configurations.
Bootable Volume Prerequisites:
Create Volume
Navigate to Volumes and create a new volume:
Customize OS
Deploy a VM using the bootable volume:
Create Snapshot
Take a snapshot of the configured volume:
Use for Deployment
Use the bootable volume for new VM deployments:
Persistent Configurations
Custom Environment Preservation
Rapid Deployment
Fast VM Creation
Team Standardization
Shared Development Environments
Version Control
Environment Versioning
Use your own saved VM images created from snapshots for standardized deployments.
Configure Source VM
Set up a VM with your desired configuration:
Create Snapshot
Take a snapshot of the configured VM:
Verify Image
Test the custom image:
Use for Production
Deploy production VMs using the custom image:
Standardized Deployments
Streamlined Operations
Naming Conventions
Organized Image Management
Example naming:
ml-env-pytorch-2.1-cuda12.4-v1.0
web-app-prod-ubuntu22-v2.3
dev-env-team-alpha-v1.5
Version Control
Image Lifecycle Management
Documentation
Image Documentation
Testing Strategy
Quality Assurance
OS Images
Choose When:
Best For: Development, experimentation, proof of concepts
OS Images
Choose When:
Best For: Development, experimentation, proof of concepts
Bootable Volumes
Choose When:
Best For: Specialized workloads, custom applications
Custom Images
Choose When:
Best For: Production deployments, team environments
Regional Availability:
If you need to deploy across multiple regions:
Plan Multi-Region Strategy
Create Regional Resources
Maintain Consistency
Fastest Boot Times
Configuration-Dependent
OS Image Performance
Optimized Base Performance
Volume Performance
Customizable Performance
Image Performance
Inherited Performance Characteristics
Security Best Practices:
Verify Source Integrity
Apply Security Updates
Configure Security
Start with OS images for development and testing, then move to bootable volumes or custom images for production deployments that require specific configurations.