As organizations rapidly adopt AI, understanding pricing isn’t just helpful—it’s essential for building scalable, cost-efficient solutions. In this episode of the Azure Essentials Show, Thomas sits down with Maria Jose to break down how to estimate the cost of AI workloads on Azure. From understanding the core components that drive pricing to applying practical tools and frameworks, this conversation helps demystify what can often feel like a complex and unpredictable part of AI adoption—so you can plan with confidence and avoid surprises.
In this episode, you’ll learn
- How to build accurate cost estimates for AI workloads using Azure tools and structured approaches
- What actually drives AI costs—including compute, models, storage, and usage patterns
- How to optimize spend without sacrificing performance through smart architecture and cost controls
Suggested next steps
- Use the Azure Pricing Calculator to model your own AI workload scenarios
- Explore Azure cost optimization and architecture best practices to improve efficiency
- Run a pilot or proof of concept (PoC) to validate assumptions with real usage data
- Implement cost governance (budgets, alerts, and monitoring) early to stay in control as you scale
Resources
- Pricing calculator https://azure.microsoft.com/pricing/calculator
- More Essential resources! https://azure.com/AzureEssentials
Related episodes
- Azure Cost Estimation: Plan Confidently with the Azure Pricing Calculator https://aka.ms/AzEssentials/231
- Azure Cost Estimation: Your Strategic Guide to Cloud Pricing https://aka.ms/AzEssentials/232
- Azure Cost Estimation: Navigate Database Pricing https://aka.ms/AzEssentials/247
- More Azure Pricing Videos https://aka.ms/AzurePricingVideos
- Watch the Azure Essentials Show https://aka.ms/AzureEssentialsShow
Connect
- Thomas Maurer https://www.linkedin.com/in/thomasmaurer2/
- Maria Jose Fernandez https://www.linkedin.com/in/mariajosefm/
Chapters
0:00 In this episode …
0:18 Introduction
1:05 Traditional cost estimation
1:10 New AI cost considerations
1:48 A Real-life scenario
2:17: AI Spend components: models
3:17 Second component: agents and frameworks
3:38 Third component: Knowledge and tools
3:54 Fourth component: Observability and trust
4:06 Fifth component: Local and edge
4:30 Two ways to pay: PayGo or Commitment
5:14 Practical demonstration
6:39 Avoiding surprises
7:31 Next steps and getting started
7:55 Insider tips
8:48 Links and resources
In this episode, you’ll learn
- How to build accurate cost estimates for AI workloads using Azure tools and structured approaches
- What actually drives AI costs—including compute, models, storage, and usage patterns
- How to optimize spend without sacrificing performance through smart architecture and cost controls
Suggested next steps
- Use the Azure Pricing Calculator to model your own AI workload scenarios
- Explore Azure cost optimization and architecture best practices to improve efficiency
- Run a pilot or proof of concept (PoC) to validate assumptions with real usage data
- Implement cost governance (budgets, alerts, and monitoring) early to stay in control as you scale
Resources
- Pricing calculator https://azure.microsoft.com/pricing/calculator
- More Essential resources! https://azure.com/AzureEssentials
Related episodes
- Azure Cost Estimation: Plan Confidently with the Azure Pricing Calculator https://aka.ms/AzEssentials/231
- Azure Cost Estimation: Your Strategic Guide to Cloud Pricing https://aka.ms/AzEssentials/232
- Azure Cost Estimation: Navigate Database Pricing https://aka.ms/AzEssentials/247
- More Azure Pricing Videos https://aka.ms/AzurePricingVideos
- Watch the Azure Essentials Show https://aka.ms/AzureEssentialsShow
Connect
- Thomas Maurer https://www.linkedin.com/in/thomasmaurer2/
- Maria Jose Fernandez https://www.linkedin.com/in/mariajosefm/
Chapters
0:00 In this episode …
0:18 Introduction
1:05 Traditional cost estimation
1:10 New AI cost considerations
1:48 A Real-life scenario
2:17: AI Spend components: models
3:17 Second component: agents and frameworks
3:38 Third component: Knowledge and tools
3:54 Fourth component: Observability and trust
4:06 Fifth component: Local and edge
4:30 Two ways to pay: PayGo or Commitment
5:14 Practical demonstration
6:39 Avoiding surprises
7:31 Next steps and getting started
7:55 Insider tips
8:48 Links and resources