GCP Compute Engine Types

Google Cloud offers a good product which is known as the Google Cloud Platform or GCP which stands for the Google Compute Engine, it is a service that gives developers the option to create virtual machines or VMs that run on the infrastructure of the Google Cloud. It is helpful because it allows the clients to easily manage and create projects on the virtual machines so it is important to understand the gcp compute engine and its types as well.

Overview of Google Cloud Compute Engine Types

Google Cloud Compute Engine is a service tool provided by Google Cloud that allows customers to easily create and run virtual machines and it can be used for small as well as large applications or projects that require large amounts of processing power which is not possible to do locally.

Understanding the Different Machine Families in GCP

There is a wide range of machine families that are used in the GCP, each of these machine families serves a different type of purpose and it requires the use specific type of machine family according to your needs, here is the list of the commonly used family in the GCP which are used in the google cloud compute day to day by the developers for their projects:

1. General-Purpose Machine Families:

First is the general purpose machine family, this is the family which has different types of machines that are used for general purposes The following are the types of machines that come under this family:

N2: The N2 is similar to the E2 type of machine mentioned below, it offers a good price range and also gives decent performance for the projects, it can be used for small and medium-sized projects that do not have large and complex requirements.

E2: E2 is the machine type that falls under the general purpose machine family, it offers a good performance-based machine with a good price range for normal projects that do not have complex and large requirements, this type of machine can be used for databases and small projects.

N2D: N2D is similar to the N2 but there is a minor difference between the N2 and N2D because the N2 is supported by the AMD processors, these are special machines that are used when there is a requirement for high performance.

2. Compute-Optimized Machine Families:

Unlike the general purpose machine families, we have compute optimized machine family as well, these are the types of machines that are designed for more computing power, The following are the types of machines which falls under this category:

C2: C2 is a machine family which is designed for handling tasks that require high computing power and also needs to make sure that the performance output is high, so if you require to compute large amount of data while making sure that the performance is also decent, then the C2 is the type of machine family which can be used.

C2D: C2D are also similar to the C2 family but here the only difference is similar to the general purpose machine family N2D, here the family is powered by the AMD processors for high power processing requirements.

3. Memory-Optimized Machine Families:

M1: M1 family is a popular family which falls under the category of memory optimized machines which are used in the applications which requires high memory.

M2: M2 is another type of memory optimized machine family which offers more vCPU as compared to M1, in the M2 we have more better memory usage and performance benefits as compared to M1.

4. Accelerator-Optimized Machine Families:

A2: A2 is known to be an accelerator optimization based machine families, A2 family is used for the purpose of Artificial Intelligence and other types of AI and deep learning models. it uses the NVIDIA A100 GPUs.

T2D: T2D are the type of family which are used for the microservices, it is based on the google cloud and its tau structure which is used for providing good performance for the projects.

Choosing the Right Compute Engine Type for Your Workload:

It is important to select the right compute engine type for your specific project or application, you can do this by simply understanding the requirements of your workload and then according to it you can use the specific instance or family of the google compute engines which are described in the above points, for example, if your workload requires you to have high computing power and high performance as well then you can use E2 and N2 which can provide these requirements, and if you have requirements for a project that includes high memory requirements then you can use the M2 instances which can help you to get better results whenever higher memory optimization is required.

Conclusion

Google cloud compute engine has a wide range of machine types which can make it hard for the users and developers to choose the specific type of compute engine, following the list and the types of compute engines mentioned in this article can be helpful for understanding which specific compute engine type needs to be used in your project.