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Partner POV | Converged physical infrastructure: Moving from components to system outcomes
AI-driven demands necessitate a shift from assembling components to converged physical infrastructure, integrating power, cooling, and controls as a unified system. Embrace convergence for optimized AI infrastructure and seamless integration across compute generations.
Partner Contribution
•Jun 4, 2026
NetApp MetroCluster in Action: How WWT Powers the Advanced Technology Center
WWT's Advanced Technology Center runs one of the most demanding lab environments in the industry — 30,000+ VMs, 1,000 simultaneous on-demand labs, and continuous proof-of-concept work for customers and partners. In this video, Systems Architect Shawn Harvick walks through the installation of WWT's 5th generation of NetApp storage: the AFF A1K with MetroCluster IP. Joined by pre-sales architects Dale Darby and John Lochausen, the team shares why WWT has standardized on NetApp for over a decade — and what synchronous replication, zero RPO, and near-zero RTO mean in a real production environment. When WWT recommends a solution, it's because we've validated it ourselves. Come see what's possible at the ATC.
Video
•6:20
•Jun 2, 2026
Partner POV | NeuralMesh AI Data Platform: Built to Operationalize AI Factories at Enterprise Scale
Discover how NeuralMesh AIDP turns NVIDIA AI Factory blueprints into reliable, production-scale data infrastructure.
Partner Contribution
•Jun 2, 2026
NetApp Data Protection
In today's business environment, data is the operational backbone of every organization, and the cost of losing access to it even briefly can be catastrophic. Ransomware, unplanned outages, regulatory mandates, and the pressure to accelerate application development have made data protection one of the most urgent conversations happening in every customer account. What separates NetApp ONTAP from every other platform in this conversation is a fully integrated, storage-native data protection stack that works together by design no third-party tools, no patchwork solutions. Snapshot technology delivers near-instantaneous recovery points that serve as the foundation for everything else. SnapMirror extends those recovery points across data centers and into the cloud for disaster recovery with RPOs in minutes and zero downtime with SnapMirror Business Continuity. SnapVault turns that same efficiency into long-term backup that eliminates legacy tape and backup software complexity. SnapLock adds immutability to satisfy regulatory compliance while hardening against ransomware. And FlexClone creates instant, writable, space-efficient copies that accelerate dev and test without adding infrastructure cost. Together, these capabilities make NetApp a single platform conversation covering business continuity, compliance, and operational agility and that is exactly what we are here to explore today.
Briefing
•2 hrs
Partner POV | Agentic AI-powered storage with HPE Alletra Storage MP X10000
Orchestrate data management and operations through GreenLake Copilot with Model Context Protocol (MCP) natively built into the X10000. Connecting the built-in data intelligence layer of X10000 with internal and external AI agents ensures AI workflows are fed with unstructured data and metadata-based intelligence.
Video
•1:32
•May 29, 2026
NetApp Data Mobility using FlexCache
In today's distributed enterprise, data proximity is performance. NetApp FlexCache is a native ONTAP caching technology that creates read-optimized volumes closer to where users and workloads actually live — whether that's a remote office, edge site, or cloud region — without replicating the full dataset. The result is dramatically reduced latency, lower WAN bandwidth consumption, and a seamless experience for end users who never know the data isn't local. For customers struggling with slow file access across geographically dispersed locations, or trying to accelerate high-performance compute workloads without the cost of full data duplication, FlexCache delivers enterprise-grade performance where it's needed most — at a fraction of the infrastructure overhead.
Briefing
•2 hrs
Observability using NetApp Data Infrastructure Insights (DII)
NetApp Data Infrastructure Insights delivers business value by transforming infrastructure operations from reactive firefighting into proactive, intelligence-driven management. By providing a single unified view across on-premises storage, virtualization, Kubernetes, SAN fabrics, and cloud environments, DII eliminates the fragmented, multi-tool monitoring that slows incident response and obscures root cause. Its AI/ML engine automatically baselines behavior, detects anomalies, correlates configuration changes to performance events, and maps workload relationships from application down to array reducing mean time to root cause identification by up-to 50%. On the capacity side, days-to-full forecasting and waste identification help organizations defer unnecessary hardware purchases and achieve 33% higher storage utilization from existing assets. For business leaders, this translates directly into fewer unplanned outages, lower operational costs, more predictable infrastructure spend, and Infrastructure teams that spend less time in war rooms and more time on strategic work.
Briefing
•2 hrs
Partner POV | HPE Alletra Storage MP X10000 Explainer Video
Accelerate AI pipelines with a high-performance, intelligent data platform—boosting throughput, maximizing GPU utilization, and turning data into AI-ready insight faster.
Video
•2:08
•May 28, 2026
Workshop
•2 hrs
The Boardroom Reckoning on AI: Why AI Demands a New Kind of Leadership
AI is forcing a new leadership challenge inside the enterprise, in which boards are expected to oversee a fast-moving technology they do not manage day to day, while executives are tasked with deploying it responsibly at speed. In this episode, Byron Loflin, Global Head of Board Advisory at Nasdaq, and WWT AVP of Global Cyber Advocacy Kate Kuehn explore what that means for modern governance — from board-level AI literacy and trust between directors and management to error reporting, escalation paths and the growing need for stronger oversight as AI systems become more capable and more autonomous.
Video
•3:05
•May 27, 2026
Partner POV | Why Physical AI Demands a New Data Architecture
Physical AI is revolutionizing industries by integrating AI models with real-world machines, demanding resilient, high-performance data infrastructures. Unlike digital AI, its failure impacts production and safety. This paradigm shift requires a data-first architecture, emphasizing portability, security, and scalability to ensure seamless, deterministic operations in dynamic environments.
Partner Contribution
•May 26, 2026