Scale AI, Not Your Bill: Managing Model Cost (July 16th)
Thursday, July 16th, 2026: 12:00 PM to 1:00 PM
Join us to learn how to treat cost as a design constraint rather than a retrospective metric. We will explore how to navigate the token economy, establish strict guardrails, and engineer your architecture to automatically take advantage of deep discounts like Context Caching and Batch Processing.
Virtual
If scaling AI is an engineering challenge, managing the bill is a critical business strategy. As you transition from building prototypes to deploying production-grade agentic systems, relying on unpredictable billing isn't an option. In this webinar, we're breaking down the frameworks top developers use to keep their model costs lean and efficient.
Key takeaways:
- Master the token economy: Understand how input and output tokens scale to optimize high-traffic application costs.
- Establish firm guardrails: Deploy quotas, budgets, and provisioned throughput to eliminate runway loops and API abuse.
- Engineer for discounts: Learn architectural patterns like Context Caching (up to 90% off) and Batch Processing (50% flat discount) to slash overhead.
- Optimize model selection: Discover when to use cost-efficient models for large-scale processing.
- The power of tagging: Implement granular cost allocation using Cloud Logging and Cloud Billing to track your "cost-per-successful-run."
Who should attend: Startup Founders, CTOs, AI/ML Engineers, and FinOps leads managing generative AI deployments on Google Cloud.
Hosted by Google Cloud