PyTorch on AWS
Run PyTorch on AWS
Ways to run the PyTorch framework on AWS: through SageMaker AI, Deep Learning AMIs/Containers on EC2, EKS, or Trainium/Inferentia chips with the Neuron SDK.
- Cost$$ Medium
- Difficulty●●●●●
- Costs money when idle?No
- Self-managed
Think of it asLike bringing your familiar recipe to a big, fully equipped kitchen.
When to use it
✓ Use it when
ML teams using PyTorch who want to train and deploy at large scale in the cloud.
✗ Avoid it when
You only need ready-made models through an API → Bedrock.
Common uses
- Distributed training on SageMaker AI
- Deploy models with TorchServe/endpoints
- Fine-tune open-source LLMs
What does it cost?
- Pricing model: PyTorch is free; you pay for the compute service that runs it (EC2, SageMaker AI, EKS).
⚠️ Cost traps
GPU instances left running after training are a major expense.
