Which cloud should you use for deploying agents?

I get this question every week.

The answer: It depends less on the clouds and more on your constraints.

**Complete comparison:**

🔹 **AWS**
- Strengths: Most mature, best docs, Lambda + Bedrock
- Weaknesses: Pricing complexity
- Cost: $1,127/month (100K requests)
- Best for: Startups, general use

🔹 **Azure**
- Strengths: Enterprise integration, OpenAI exclusive
- Weaknesses: Service naming confusing
- Cost: $843/month (100K requests)
- Best for: Enterprises, Microsoft shops

🔹 **GCP**
- Strengths: Clean APIs, best for ML, fast cold starts
- Weaknesses: Fewer enterprise features
- Cost: $1,140/month (100K requests)
- Best for: ML-heavy workloads


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📊 KEY INSIGHTS:

**Cost difference: 25% max**
- Not 2x or 10x
- LLM tokens = 70-90% of cost
- Infrastructure = 10-30%

**Choose based on:**
1. Existing infrastructure
2. Team expertise
3. LLM requirements
4. Compliance needs
5. Geographic distribution
6. Budget model

**Don't migrate unless:**
- Saving >30% on $50K+/month
- LLM requirements force it
- Acquisition/merger