Exploring Committed Use Discounts in GCP - Google Cloud Platform

Hafeez Baig |
10 steps |
39 seconds

Type "**Compute Engine**" in the search bar and click on the **Compute Engine** option

**What is a Compute Engine?** Google Compute Engine (GCE) is an Infrastructure-as-a-Service (IaaS) offering from Google Cloud Platform (GCP) that allows users to run virtual machines (VMs) on Google's infrastructure. It provides scalable and flexible computing resources, high-performance persistent storage, advanced networking capabilities, and integration with other GCP services, making it suitable for a variety of workloads including web hosting, data processing, and high-performance computing.

Click on the **Committed use discounts** from the left bar

**What are Committed Use Discounts?** Committed Use Discounts in GCP are pricing plans that offer significant discounts on cloud resources in exchange for committing to use a specific amount of those resources for a one- or three-year period. By committing to a steady usage level, users can save up to 57% compared to pay-as-you-go pricing, making it a cost-effective option for predictable workloads.

**Commitment list** wizard will open, click on the **PURCHASE COMMITMENT** button on the top left side

**Purchase a committed use discount** wizard will open, give the Name as - "**my-instance-committed**"

Scroll to the **Duration** section and select the **1 year** radio button **Note:** You can select the Duration as per your requirement

**What is the Duration under Purchase a Committed Use Discount?** Under "Purchase a Committed Use Discount" in GCP, duration refers to the length of time for which you commit to using a specified amount of cloud resources. Typically, the durations available are one year or three years. This commitment period determines the level of discount you receive on the resources compared to pay-as-you-go pricing.

Scroll to the **GPUs** section, click on the **ADD GPU** button to add a GPU for your Committed discounts

**What are GPUs?** GPUs, or Graphics Processing Units, are specialized hardware components designed to accelerate the processing of graphics and complex mathematical computations. Initially developed for rendering images and video in gaming and graphic design, GPUs are now widely used in various fields like scientific computing, machine learning, and artificial intelligence due to their ability to handle parallel processing efficiently. They significantly speed up tasks that involve large-scale data processing and computationally intensive operations.

Scroll to the **Local SSDs** section, click on the **ADD SSD** button to add an SSD for your Committed discounts

**What is a Local SSD?** A Local SSD in GCP refers to a high-performance, physically attached solid-state drive (SSD) that provides temporary storage directly on the host machine running a virtual machine (VM). Local SSDs offer high input/output operations per second (IOPS) and low latency, making them ideal for applications requiring fast, temporary storage, such as data caching, high-performance computing, and real-time data processing. However, the data on a Local SSD is ephemeral, meaning it does not persist after the VM is stopped or terminated.

Scroll to the **Reservations** section and select the **Don't attach reservations** radio button **Note:** You can select the configurations as per your requirements.

**What are Reservations?**\ \ Reservations in Google Cloud Platform (GCP) refer to commitments users make to use specific compute resources for a defined period. This commitment often results in discounted pricing compared to pay-as-you-go rates, helping users manage costs and ensure resource availability.

Scroll the page and click on the **PURCHASE** button

Congratulations! on completing this lab and Exploring Commited Use Discounts in GCP - Google Cloud Platform