Episode 104 — CPU, vCPU, and GPU Allocation Models
This episode explains how physical CPUs, virtual CPUs (vCPUs), and Graphics Processing Units (GPUs) are allocated in cloud environments. We cover how vCPUs map to physical CPU cores, the performance impacts of CPU overcommitment, and how GPUs accelerate workloads such as AI/ML processing, video rendering, and scientific simulations. Allocation decisions must balance performance requirements with cost efficiency.
We also discuss specialized GPU instances offered by cloud providers, including considerations for driver compatibility, licensing, and scaling. In the Cloud+ exam, you’ll need to identify the correct allocation model for specific workloads and operational goals. Produced by BareMetalCyber.com, where you’ll find more cyber prepcasts, books, and information to strengthen your certification path.
