Azure Cost Estimation: Price AI Workloads Confidently

From the creator

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

Published 2026-09-29 · Watch on YouTube ↗
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