TensorFlow on AWS
Run TensorFlow on AWS
Ways to run the TensorFlow framework on AWS: through SageMaker AI, Deep Learning AMIs/Containers on EC2, or EKS to train and serve models.
- 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 already using TensorFlow/Keras who want to run at large scale in the cloud.
✗ Avoid it when
New projects without a framework constraint usually choose PyTorch → PyTorch on AWS; only need ready-made models → Bedrock.
Common uses
- Train Keras models on SageMaker AI
- Serve models with TensorFlow Serving
- Distributed training on GPUs
What does it cost?
- Pricing model: TensorFlow 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.
