AI is changing the role of storage.
In this conversation, Azure Storage leaders Aung Oo and Vybava Ramadoss discuss how enterprise AI workloads are reshaping storage requirements and why the data layer has become critical to AI performance, scale, governance, and cost efficiency.
Learn how Azure Storage helps organizations:
• Turn enterprise data into AI-ready knowledge
• Support retrieval-augmented generation (RAG) and agent-based workloads
• Deliver the throughput and low-latency performance AI systems require
• Improve GPU utilization and inference efficiency
• Modernize existing data estates for AI without re-architecting applications
• Maintain governance and control of enterprise data across AI workflows
• Integrate seamlessly with Azure AI Foundry, Azure AI Search, Azure OpenAI, AKS, and leading AI ecosystems
Whether you’re building AI applications, deploying agents, modernizing existing workloads, or preparing your enterprise data for AI, this discussion explores how storage has evolved from foundational infrastructure to a strategic enabler of enterprise AI.
Explore the latest Azure infrastructure, AI, storage, migration, resiliency, and modernization resources in the Azure IaaS Resource Center: https://msft.it/6052azmn0
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