Software Architechture AI Day 2026

14:15 - 15:00

Cost-Aware AI Architecture: Building Performant Systems Within Budget

What is the presentation about?

How can you design AI systems without letting costs spiral out of control? This talk explores architectural levers that make AI both performant and cost-efficient. Learn how to strategically select models, apply optimization techniques, route intelligently and design multi-tier inference pipelines. This session shares practical decision shortcuts, measurement-driven optimization cycles, and governance patterns that ensure predictable operational costs. Plus, discover how GenAI-powered development assistance can accelerate delivery while keeping budgets in check. Walk away with actionable strategies to build AI systems that are both powerful and financially sustainable.

Prerequisites

Learning Objectives

Understand the major cost drivers in AI systems (compute, storage, data transfer) and how architecture affects them.
Architectural decision shortcuts for generative and traditional AI use cases, cloud or on-prem deployments
Apply model routing and tiering patterns to balance latency, accuracy and cost.
Use measurement-driven cost models to evaluate architecture decisions and make tradeoffs explicit.
Design governance and quota controls to prevent runaway operational expenses.

Speaker

Dimitri Blatner

ITech Progress

Senior Software Architect and Trainer

Why you should attend the AI Day

Architect AI that works in practice: Design scalable, cost-aware, production-ready AI systems.
Bridge software architecture and AI: Combine classic architectures, ML, and GenAI into intelligent systems.
Learn from leading AI architects: Gain real-world insights from experts building AI in production.
Learn online and revisit later: Join live from anywhere and get access to recordings and slides after the conference.