Enterprise AI makes many demands from IT. Beyond large data volumes and high compute requirements, AI is also an intensively hybrid workflow. That's because AI is happening everywhere— in the cloud, on prem, and at the edge. Whether it's POC development in the cloud or production workloads on prem, AI requires a seamless hybrid multi-cloud data environment to maximize its potential. Consider that early AI initiatives are often deployed in siloed infrastructures, separate from the rest of it. That's costly and inefficient. As projects mature and move to production, AI apps require access to production data, but moving data across different storage systems that don't share the same capabilities, security, or data management adds complexity, cost, and risk. Moreover, most organizations are eager to drive value from AI by leveraging all the enterprise data already stored in their IT infrastructure. That makes unfettered data access and mobility within your hybrid environment crucial to optimizing your AI use cases. Silos just won't get the job done. Fortunately, there's a simple solution. Power both your AI pipeline and the rest of your enterprise workloads with the same, secure, modern NetApp data infrastructure. You'll simplify operations, lower costs, and accelerate your AI journey. An intelligent data infrastructure built on NetApp uniquely provides a seamless, hybrid multi-cloud environment for all your enterprise data. With NetApp, you can power every workload, including AI, and enjoy unified data management and legendary NetApp data security and governance wherever your data lives. Mobilize all your data for AI with the power of NetApp. Talk to us today to learn more.