🧩 What Are EC2 Instance Types?

Amazon EC2 offersΒ different instance families to match specific workloads, like compute-heavy, memory-intensive, or storage-optimized tasks.

βœ… Choosing the right instance type helps you optimize performance and cost.


πŸ“¦ EC2 Instance Families Overview

Family Optimized For Common Use Cases Example Types
T General Purpose (Burstable) Small web servers, dev/test environments t4g, t3, t2
M General Purpose App servers, balanced workloads m7i, m6i, m5
C Compute Optimized High-performance computing, web apps c7g, c6a, c5
R Memory Optimized In-memory databases, analytics, caching r7g, r6i, r5
X High Memory SAP HANA, real-time big data processing x2idn, x1e, x2iezn
Z High Compute + Memory Electronic design automation (EDA) z1d
P GPU for ML/AI Deep learning, training models p4, p3
G GPU for Graphics 3D rendering, video editing, gaming g5, g4ad
Inf ML Inference Low-latency ML inference inf1
D/I Storage Optimized Data warehousing, high IOPS, NoSQL DBs i4i, d3en, h1
H High Disk Throughput Big data, log processing h1, hpc6id
U/Mz/Trn Specialized SAP, HPC, or ML model training at scale u-6tb1.metal, trn1

🎯 Choosing the Right Instance (Quick Guide)

Your Need Go With...
General apps or small web servers t4g, m6i
Heavy backend compute c7g, c6a
Memory-heavy workloads r6i, x2idn
GPU-based AI or ML training p4, g5
High IOPS, SSD-heavy workloads i4i, d3

🧠 Instance Naming Format (Decoded)

Example: c6g.large

  • c = Compute optimized
  • 6 = 6th generation
  • g = Powered by AWS Graviton (ARM-based)
  • large = Size (nano β†’ 4xlarge, metal, etc.)

βš™οΈ Instance Sizing

Size vCPU RAM (Varies by family)
nano 1 ~0.5 GB
micro 1 ~1 GB
small 1 ~2 GB
medium 2 ~4 GB
large 2–4 ~8 GB
xlarge+ 4–64+ ~16–1000+ GB

βœ… Summary

Attribute Value
Categories General, Compute, Memory, Storage, GPU
Architecture x86, ARM (Graviton)
Generations Newer = better performance & cost (e.g., 7g)
Use Case Fit Choose based on your app's profile
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