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Explore Samir Rajadnya, Microsoft | theCUBE + NYSE Wired: AI Data Pipeline Forum 2026 with 7,879 views, 123 likes, and 1 comments. Experience the impact of this video content that has captured audience attention.

In this interview from AI Data Pipeline Forum 2026, Samir Rajadnya, principal architect at Microsoft Corp., joins theCUBE's John Furrier to discuss how composable memory architecture is reshaping the economics of AI infrastructure. Rajadnya, part of Microsoft's pathfinding team, explains how his group identifies emerging technologies in memory and storage to improve Azure's efficiency amid surging AI demand. He details why memory has become one of AI's biggest bottlenecks, pushing the industry toward disaggregated, composable systems where memory is dynamically allocated to workloads rather than locked behind a single CPU or GPU. The conversation also explores how interconnects, including optical technology, are enabling memory to move beyond the server chassis and across racks, helping close the gap between scarce supply and growing demand. Rajadnya breaks down the role of vertical integration, where workload, system, software and silicon are designed together, as a strategy enterprises can apply even without hyperscale budgets. He touches on how disaggregated serving and KV cache challenges signal a broader shift toward distributed infrastructure for both training and inference. From the collaborative spirit of the OCP ecosystem to the blend of risk-taking engineers and seasoned veterans now solving these problems together, Rajadnya outlines why architecture has become the defining challenge of the AI era. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - OCP and Microsoft: Advancing AI Infrastructure 02:27 - Data Center Architecture at Azure Scale 04:59 - Composable Architecture and Dynamic Memory Allocation 07:32 - Interconnects Enable Flexible AI Systems 10:48 - Disaggregated Memory for Efficient AI Inference 14:52 - Workload-Driven Architecture and Vertical Integration 18:00 - OCP Collaboration and Future Computing Architectures #theCUBE #AIDataPipelineForum #theCUBEresearch #Microsoft #Azure #AIInfrastructure

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