Amazon Elastic Compute Cloud (EC2) offers a wide range of instance types, each optimized for specific use cases and workloads.

Some of the most popular EC2 server categories are listed below:

General Purpose Instances (M5, T3): -

These instances provide a balance of compute, memory, and networking resources and are suitable for a wide range of workloads, including web applications, small databases, and development/testing environments.

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Compute Optimized Instances (C5, C6g): -

These instances are optimized for compute-intensive workloads, such as high-performance computing, batch processing, and scientific modeling.

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Memory Optimized Instances (R5, X1, z1d): -

These instances are designed for memory-intensive workloads, such as in-memory databases, real-time big data processing, and high-performance computing.

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Storage Optimized Instances (I3, D2): -

These instances are optimized for storage-intensive workloads, such as NoSQL databases, data warehousing, and log processing.

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GPU Instances (P3, G4): -

These instances are designed for workloads that require high-performance graphics processing, such as machine learning, deep learning, and video rendering.

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FPGA Instances (F1): -

These instances use field-programmable gate arrays (FPGAs) to accelerate specific applications, such as genomics research and financial analysis.

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Arm-Based Instances (A1, M6g, C6g): -

These instances use ARM-based processors and are designed for workloads that require a balance of compute and memory resources, such as web servers, containerized microservices, and caching fleets.

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In AWS each instance type comes with different configurations, such as vCPU (virtual CPUs), memory, and storage capacity, so it is important to choose the instance type that best fits your workload requirements.

To get detailed information then login into the AWS console and click on EC2 instance type, you can download the excel file from there to get more information

Thank you for taking the time to read my blog. I hope you found the content informative and valuable.

Pawan Bhagat