Generative AI Cloud Infrastructure and Security for Startups

Generative AI Cloud Infrastructure and Security for Startups

Session Overview

Generative AI is transforming how startups build products, but it's also introducing unprecedented infrastructure and security challenges. In this session, we'll explore how to build production-ready cloud architectures that can handle the unique demands of GenAI workloads—from managing GPU clusters and vector databases to securing sensitive data flows and preventing prompt injection attacks. Discover how to architect scalable, cost-effective, and secure infrastructure that protects your users while powering intelligent applications.

Who is this for?

This session is perfect for startup CTOs, engineering leads, DevOps engineers, and founders who are deploying or planning to deploy generative AI features in production. Whether you're running your first LLM-powered application, scaling to thousands of users, or navigating compliance requirements, this session will give you the frameworks and practical patterns to build confidently and securely.

What you'll learn

Learn how to architect cloud infrastructure specifically optimized for generative AI workloads. You'll discover how to select and manage GPU resources cost-effectively, design secure data pipelines that protect sensitive information, implement vector database architectures for RAG systems, and build defense-in-depth security patterns against GenAI-specific threats like prompt injection and data leakage. Walk away with a practical blueprint for deploying production-grade GenAI infrastructure that scales with your startup.

What to expect

• Short presentation with Q&A

• Architecture deep-dive with real-world examples

• Live infrastructure walkthrough

• Security checklist and implementation guide