Who exactly determines how Google Cloud Compute Engine balances the need for raw processing power with the flexibility of custom machine configurations? Furthermore, this Infrastructure-as-a-Service (IaaS) powerhouse allows you to run virtual machines on the same global fiber network that supports Google Search and YouTube. Why is the ability to create "custom" vCPU and memory ratios—rather than being forced into fixed instance sizes—the primary reason data-heavy organizations choose this platform?