22-25 April 2026 
Build Secure, Scalable AI Applications with Azure SQL Database Hyperscale
Proposed session for SQLBits 2026TL; DR
Azure SQL Database Hyperscale is built for modern AI apps with native vector indexes, semantic search, and low-latency RAG. Scale securely with up to 30 replicas and 150MBps log speed. Invoke models via T-SQL and Azure AI Foundry to modernize mission-critical workloads.
Session Details
Azure SQL Database Hyperscale is built for modern AI apps with native vector indexes, semantic search, and low-latency RAG. Scale securely with up to 30 replicas and 150MBps log speed. Invoke models via T-SQL and Azure AI Foundry to modernize mission-critical workloads.
3 things you'll get out of this session
• Learn to leverage native vector indexes and semantic search for AI apps
• Understand how to scale securely with up to 30 replicas and high log throughput
• Invoke AI models via T-SQL and Azure AI Foundry for mission-critical workloads
Speakers
Mladen Andzic
Mladen Andzic's other proposed sessions for 2026
From Vectors to Agents: Building AI-Powered Solutions with Microsoft SQL - 2026
HA/DR in Action: Application Resiliency with SQL Server 2025 and Azure SQL - 2026