VM vs Container: Understanding Virtualization
Learn the fundamental differences between Virtual Machines and Containers. Understand when to use each technology for your cloud workloads, especially for GPU and AI applications.
What you'll learn
- Understand how Virtual Machines work
- Understand how Containers work
- Compare performance and resource usage
- Choose the right technology for GPU workloads
- Apply this knowledge to AI/ML deployments
Course Content
What are VMs and Containers?
A high-level introduction to Virtual Machines and Containers - the two fundamental approaches to application isolation and deployment.
Virtual Machines Deep Dive
Understanding how Virtual Machines work - hypervisors, hardware virtualization, and the architecture that enables running multiple operating systems on a single machine.
Containers Deep Dive
Understanding how Containers work - Docker, container images, namespaces, cgroups, and the technology that revolutionized application deployment.
VM vs Container: Side-by-Side Comparison
A comprehensive comparison of Virtual Machines and Containers across performance, security, use cases, and practical considerations.
GPU Workloads: VMs vs Containers
Understanding how Virtual Machines and Containers handle GPU resources for AI/ML workloads, and choosing the right approach for your GPU computing needs.