[Solved] Why does using spot instances or preemptible VMs help reduce costs in agentic AI training? — Ans: They offer cheaper compute but can be interrupted, requiring checkpointing | Agentic AI

Agentic AI - Production Agent Architecture

Why does using spot instances or preemptible VMs help reduce costs in agentic AI training?

AThey offer cheaper compute but can be interrupted, requiring checkpointing

BThey guarantee uninterrupted training at higher cost

CThey increase training speed without cost benefits

DThey are only useful for inference, not training

Step-by-Step Solution

Solution:

Step 1: Understand spot instances/preemptible VMs
These are cheaper cloud resources that can be stopped anytime by provider.
Step 2: Explain cost benefit and tradeoff
They reduce cost but require saving progress (checkpointing) to handle interruptions.
Final Answer:
They offer cheaper compute but can be interrupted, requiring checkpointing -> Option A
Quick Check:
Spot instances = cheap but interruptible [OK]

Quick Trick: Use spot instances for cheap compute with checkpointing [OK]

Common Mistakes:

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Why does using spot instances or preemptible VMs help reduce costs in agentic AI training?