AI Data Center Infrastructure Enters Its Next Phase
AI workloads are scaling faster than many enterprise data centers can evolve, forcing IT teams to choose between supporting existing business applications and investing in next-generation capabilities. Dell Technologies is responding with an integrated set of AI data center infrastructure solutions that span enterprise storage solutions, AI-ready compute systems, cyber resilience and data center automation. The goal is to remove tradeoffs: handle today’s transactional and analytical workloads while preparing for generative AI and high-performance computing. Dell frames this as a shift from siloed hardware projects to a full-stack, AI-aware platform. Storage, servers, protection and management software are designed to work together, combining higher density and performance with more automation and built-in security. For enterprises, the key question is no longer whether infrastructure can technically run AI, but whether it can do so at scale without disrupting operations or exploding complexity.
Enterprise Storage: From Capacity Silos to AI-Ready Data Foundations
For AI initiatives, storage is as strategic as GPUs. Dell’s PowerStore Elite aims to eliminate the classic tradeoff between performance, efficiency and non-disruptive growth. The platform combines AI-driven software with next-generation hardware, tripling performance and density versus prior generations while packing up to 5.8 petabytes of effective capacity into a single 3U appliance. Built on industry-standard E3 flash, it offers a 6:1 data reduction guarantee and a fully modular, field-upgradable design, so drives, controllers and networking can be refreshed without downtime or data migration. In parallel, Dell PowerScale underpins the Dell AI Data Platform, giving enterprises a scale-out NAS option for unstructured data that can evolve into an AI and generative AI data lake. Together, these enterprise storage solutions move organizations away from fragmented file shares and tape archives toward unified, AI-ready data foundations.
AI-Ready Compute Systems and Cooling for Dense Workloads
Raw compute is still critical, but AI data center infrastructure now depends just as much on density and thermals. Dell’s 18th-generation PowerEdge portfolio introduces air- and liquid-cooled designs that deliver up to 70% better performance and 13-to-1 consolidation, allowing significantly more compute in the same footprint. The liquid-cooled PowerEdge M9825 with 6th Gen AMD EPYC processors targets AI and high-performance workloads that exceed traditional air-cooled rack limits, reducing deployment risk for dense GPU and CPU clusters. New air-cooled PowerEdge XE5845 and XE7845 servers bring next-generation GPU support to PCIe-based AI at scale, while R9825 and R9815 platforms offer high core density—up to 256 cores per system—without requiring data center retrofits. Additional single-socket systems such as R8815, R6815, R7815 and R7815xd help consolidate dual-socket estates, lowering power, cooling and licensing overhead while maintaining flexibility for virtualization and analytics.
Cyber Resilience as a First-Class Design Principle
As AI usage grows, so does the attack surface. Dell is embedding cyber resilience directly into its AI data center infrastructure, treating protection, detection and recovery as a unified operational model rather than separate tools. Dell PowerProtect One combines PowerProtect Data Manager and PowerProtect Data Domain under a single control plane, providing centralized visibility, third-party ecosystem support and a claimed 50% reduction in management overhead. It is positioned as a platform for secure, efficient protection storage and rapid recovery at scale. At the storage layer, Dell Cyber Detect extends AI-powered ransomware detection into PowerStore and PowerMax arrays. Trained on thousands of ransomware variants, it inspects data at the byte level and identifies the last known clean copy with 99.99% accuracy. For enterprises rolling out AI workloads, these capabilities help ensure that critical training data, models and production applications can be recovered quickly after an attack.
Mazda’s Case Study: Turning Unified Storage into AI Advantage
Mazda offers a glimpse of how these technologies translate into competitive advantage. The automaker consolidated decades of model-based development and CAD data onto Dell PowerScale, part of the Dell AI Data Platform, creating a unified storage environment designed to evolve into a full AI and generative AI data lake. Previously, Mazda relied on a mix of disk and tape, which caused retrieval delays, operational complexity and rising costs as simulation data grew by hundreds of terabytes annually. After moving to PowerScale, total capacity expanded from roughly 4PB to 10PB, tape offload was eliminated, and recurring capacity and performance issues disappeared. Storage cost per unit dropped by 90%, while operational burden fell as capacity and performance tickets declined. With InsightIQ providing AIOps-driven observability and SnapshotIQ and SyncIQ ensuring resilience, Mazda now has an AI-ready data foundation aligned to its increasingly software-defined vehicle development strategy.