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Learn about Nutanix's unified data platform architecture designed for next-generation AI workloads in this 35-minute conference presentation from AI Field Day 7. Explore how Nutanix addresses traditional enterprise storage limitations through their innovative "shared flexible" architecture that combines global accessibility with linear scalability, enabling disaggregated yet cohesive compute and storage capabilities within single clusters. Discover the platform's data-first approach that supports the entire AI lifecycle from edge to core to cloud, utilizing diverse protocols (NFS, SMB, S3) and implementing smart data placement strategies through fine-grained metadata, intelligent caching, and protocol enhancements. Examine how the architecture ensures consistent operations and flexible data mobility via replication, cloud integration, and unified control through Prism Central, while scaling seamlessly from single-node clusters to multi-petabyte, multi-cluster environments. Understand Nutanix's performance validation through ML Commons' MLPerf Storage benchmarks and learn about architectural improvements including end-to-end RDMA, fast-path data transfers, and SR-IOV utilization that have doubled performance while reducing hardware requirements by half. Review comprehensive data protection features including snapshots, synchronous Metro replication, asynchronous disaster recovery, object locking, and cloud object storage integration that ensure data resilience and compliance across deployment environments for modern AI infrastructure demands.
