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Ec2 Instance Types in AWS

Ec2 Instance Types in AWS

Sure! Here's a breakdown of the EC2 Instance Types in AWS — what they are, what they’re used for, and how to choose the right one. ?


? What Are EC2 Instance Types?

Amazon EC2 offers a wide variety of instance types that are optimized for different use cases, such as compute, memory, storage, or GPU-based workloads.

Each instance type is part of a family designed for a specific purpose.


? EC2 Instance Families

FamilyOptimized ForExample Use Cases
tGeneral Purpose (Burstable)Websites, dev/test, small apps
mGeneral Purpose (Balanced)Web servers, app servers, small DBs
cCompute OptimizedHigh-performance computing, batch jobs
rMemory OptimizedBig data, in-memory DBs like Redis
xExtra MemorySAP HANA, high-performance DBs
iStorage OptimizedNoSQL DBs, data warehousing, analytics
dDense StorageHadoop, file storage, data lakes
hHigh Disk ThroughputMapReduce, parallel file systems
pGPU (Graphics / ML)Machine learning, deep learning, AI
gGPU (Graphics/Inferencing)Video rendering, inference workloads
infML InferenceReal-time inferencing
fFPGA (Hardware Acceleration)Custom hardware accelerations
a, m7gArm-based Instances (Graviton)Cost-efficient workloads with Graviton CPUs


? Popular Instance Types by Family

FamilyCommon TypesDescription
tt2.micro, t3a.small, t4g.microBurstable – great for test/dev environments
mm5.large, m6g.mediumBalanced – great for general-purpose use
cc5.large, c6g.largeCompute-heavy tasks
rr5.large, r6g.xlargeMemory-intensive tasks
pp3.2xlarge, p4d.24xlargeAI/ML, GPU computing


?? How to Choose the Right EC2 Instance Type

FactorRecommendation
General apps/devUse t3, t4g, or m6g
High CPU demandUse c6g, c5, or c7g
Memory heavy appsUse r5, r6g, or x1e
High-speed storageUse i3, i4i, or d3en
Machine Learning/AIUse p3, p4, or inf1
Cost saving (ARM)Use Graviton-based types (t4g, m6g)


? Pricing Tip

  • ? Spot Instances – Save up to 90% for flexible, fault-tolerant apps

  • ? Reserved Instances – Save up to 72% with 1-3 year commitment

  • ? Savings Plans – Commit to usage ($/hr) and apply savings across multiple instance types


? Summary


TypeBest For
tLightweight apps, dev/test
mBalanced performance (web apps, small DBs)
cCompute-heavy processing
r, xRAM-heavy apps (caching, in-memory DBs)
i, dHigh storage throughput
p, gGPU-intensive tasks (ML, graphics)
fCustom hardware logic (FPGA)

Disclaimer for AI-Generated Content:
The content provided in these tutorials is generated using artificial intelligence and is intended for educational purposes only.
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