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Watch this 13-minute conference presentation from AI Field Day 7 where Nutanix Distinguished Engineer Manoj Naix and SVP Vishal Sinha demonstrate how Nutanix Unified Storage enables comprehensive AI workflows. Explore the complete AI pipeline from data ingestion and cleansing through model fine-tuning, inferencing, and archiving, while learning how Nutanix addresses critical challenges of data fragmentation across edge, cloud, and various formats. Discover the full-stack enterprise AI platform components including Nutanix Cloud Infrastructure (NCI), Nutanix Database Service (NDB), Nutanix Kubernetes Engine, and management layers like Nutanix Central and Cloud Manager. Examine the specialized database management capabilities supporting vector databases such as PGVector and Milvus for efficient LLM application management. Learn about storage optimization strategies tailored for each AI lifecycle phase, from high-performance training environments to rich metadata tiering for archiving and versioning support through object storage and snapshotting. Understand how the platform operates across hybrid multicloud environments with robust data security, cyber resilience, and data mobility features including global namespaces, immutable snapshots, and metadata-based tiering. Review the multi-protocol support (NFS, SMB, S3, iSCSI) and app-data colocation capabilities that optimize performance, plus comprehensive disaster recovery options including metro, asynchronous, and near-synchronous replication for global compliance. Gain insights into practical use cases spanning edge AI inferencing to deep archival storage, showcasing how this mature platform handles the complete lifecycle of data-intensive, AI-powered applications.
