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Explore how to optimize SQL Server infrastructure for Large Language Model workloads in hybrid cloud environments through this 13-minute conference talk from Conf42 Prompt 2025. Learn about the specific challenges legacy SQL Server systems face when supporting LLM applications and discover Microsoft's Managed Instance solution as a strategic approach to modernization. Examine performance optimization techniques essential for handling AI workloads, including global architecture patterns that ensure scalability and reliability across distributed systems. Understand key performance metrics that matter for LLM operations and implement disaster recovery strategies that maintain AI service continuity. Dive into Azure Synapse integration capabilities that enhance data processing for machine learning workflows, supported by real-world implementation examples that demonstrate practical deployment scenarios. Master security and governance frameworks necessary for enterprise AI deployments while learning specific SQL Server tuning parameters optimized for LLM workloads. Gain insights into future-proofing your AI data infrastructure to accommodate evolving machine learning requirements and emerging technologies in the artificial intelligence landscape.
