Dell’s infrastructure strategy takes shape as enterprise AI moves into production

Dell's infrastructure strategy is evolving as enterprise AI moves from experimentation into production. Sam Grocott, senior vice president of product marketing at Dell Technologies, notes that while many businesses have an AI ambition, they struggle with execution. Enterprises are now looking to integrate AI into existing infrastructure, creating hybrid environments and raising new questions around cost, reliability, operational demands, and governance.

Travis Vigil, executive vice president of infrastructure at Dell, highlights the importance of bringing compute and data management capabilities to where the data resides, making the process more efficient and cost-effective.

Dell is focusing on developing solutions such as the AI Data Platform, which helps businesses manage their storage, security, and data management needs to support AI workloads. Paul Nashawaty, principal analyst for theCUBE Research, emphasizes the significance of enabling developers to access trusted, governed data consistently across the AI lifecycle. As companies move from pilots to production, they must prioritize continuous observability, security, and governance to manage increasingly autonomous AI systems.

John Roese, global chief technology officer and chief AI officer at Dell, argues that the biggest impediment to transitioning to an AI era is maintaining legacy infrastructure as the anchor. Instead, enterprises must build and operate autonomous agents within an AI environment, equipped with a security architecture that accommodates agentic systems.

With businesses scaling AI deployments, they are now emphasizing demonstrating the return on investment of agentic AI, as cost remains a critical concern. Dell has been investing in financial services capabilities to help customers finance AI infrastructure investments, recognizing the increasing appetite for AI demand.