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General Purpose Instances - General Purpose instancse provide a balance between compute, memory and networking resources, making them suitable for many workloads. These instances are intended for applications with a moderate CPU usage, but that require consistent performance. These instances are commonly used for webservers, small- to medium-sized database, development environments and other general purpose applications.

Compute Optimized Instances: Compute Optimized instances have a higher CPU performance and are therefore ideal for workloads that demand significant processing power. These instances are ideal for high-performance web server, scientific modeling and batch processing.

Memory-Optimized - These instances are optimized for memory-intensive apps, like large-scale databases and in-memory caches, as well as real-time analytics of big data. These instances have a high ratio of memory to CPU, which allows applications to efficiently handle large datasets.

Storage-Optimized - These instances are designed for workloads requiring high storage performance. These instances are perfect for data warehouses, log processing and distributed file systems which require fast and efficient data access.

GPU Instances GPU instances are equipped powerful graphics processing units, making them suitable to workloads that need parallel processing capability, such as video rendering, machine learning and deep learning.

FPGA instances: FPGA instances (Field-Programmable Gate array) provide hardware acceleration. They are ideal for applications requiring custom hardware in order to perform specific tasks efficiently. Examples include genomics and financial modelling.

AWS Graviton: AWS Graviton is powered by Arm-based processors designed by AWS. These instances provide a balance between performance and cost effectiveness, making them ideal for a wide range of workloads including web servers and microservices.

AWS Inferentia: AWS inferentia instance are optimized to run machine learning workloads for inference at low cost with high performance. They are used to accelerate deep-learning applications, such as recommendation systems, computer vision, and speech recognition.

T3 and 4g Instances : T3 or T4g instances provide a base level of CPU performance, with the option to increase it when needed. These instances are ideal for applications that have a variable workload and experience periodic spikes in traffic.

High I/O Instances : High I/O instance are designed for input/output intensive applications such as transactional databases and NoSQL databases.

To achieve the best performance and cost-efficiency, it's important to select the correct instance type. AWS constantly introduces new instances with updated hardware and capabilities, so it is advisable to check the AWS documentation regularly for the latest recommendations and offerings.

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