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Case just like cloud computing (SaaS, etc) * [ ] UI * [ ] book * [ ] zulfani * [ ] exercises * [ ] UI * [ ] assignment * [ ] responsi

* What do you do when predefined VM options are NOT appropriate for your workload? * Create a machine type customized to your needs (a Custom Machine Type) Custom Machine Type: Adjust** vCPUs, memory and GPUs * Choose between E2, N2, or N1 machine types * Supports a wide variety of Operating Systems: CentOS, CoreOS, Debian, Red Hat, Ubuntu, Windows etc * Billed per vCPUs, memory provisioned to each instance * Example Hourly Price: $0.033174 / vCPU + $0.004446 / GB Status: #idea Tag

* How do you accelerate math intensive and graphics-intensive workloads for AI/ML etc? * Add a GPU to your virtual machine: * High performance for math intensive and graphics-intensive workloads * Higher Cost * (REMEMBER) Use images with GPU libraries (Deep Learning) installed * OTHERWISE, GPU will not be used * GPU restrictions: * NOT supported on all machine types (For example, not supported on shared-core or memory-optimized machine types) * On host maintenance can only ha

|Scenario|Solution| |--------|--------| |What are the pre-requisites to be able to create a VM instance?|1. Project 2. Billing Account 3. Compute Engines APIs should be enabled| |You want dedicated hardware for your compliance, licensing, and management needs|Sole-tenant nodes| |I have 1000s of VMs and I want to automate OS patch management, OS inventory management, and OS configuration management (manage software installed)|Use "VM Manager"| |You want to login to your VM instance to install s

gcp: Compute Optimized (C2): Compute intensive workloads Use cases: * Gaming applications Status: #idea Tags: gcp, google-cloud-engineer, Cloud, cloud-compute, Google Compute Engine, Steps when creating a VM Instance in Google Compute Engine, Google Compute Engine Family or Machine Types, ccp, AWS EC2, AWS EC2 Instance Types References