Case Study
How Dell Technologies and NVIDIA Power Your Complete AI Workflow
Discover how Dell Technologies and NVIDIA join forces to provide a fully integrated AI infrastructure spanning compute, storage, and networking. Learn how to streamline data workflows across the edge, data center, and cloud to unlock faster insights and seamless scalability. Simplify infrastructure complexity and accelerate AI workloads with the Dell AI Factory with NVIDIA.
- Topic
- Emerging Tech
- Published
- 7 Aug 2026
Deploying enterprise AI requires an integrated approach to compute, storage, and networking. The Dell AI Factory with NVIDIA integrates Dell PowerEdge servers, PowerScale storage, and high-performance Dell Networking solutions to eliminate deployment friction and accelerate time-to-insight. PowerEdge compute units supply GPU processing power for model training and real-time inferencing.
PowerScale delivers scalable, high-throughput NAS storage built to process unstructured AI datasets safely across multi-cloud environments. Dell Networking connects these components with ultra-low latency Ethernet and InfiniBand fabrics, optimizing GPU-to-GPU communication and front-end traffic. Combined with specialized services and software, this architecture allows organizations to confidently scale AI initiatives from early concept to enterprise production.
Key Highlights:
End-to-End Co-Engineering: Dell Technologies and NVIDIA deliver customizable AI solutions that unify hardware, software, and services.
Three Pillar Foundation: AI infrastructure success depends on balanced performance across compute, storage, and networking.
Dell PowerEdge Compute: Delivers high-performance processing, GPU acceleration, and advanced thermal management for training and inferencing.
Dell PowerScale Storage: Provides scalable, high-throughput unstructured data storage for seamless access across edge, core, and cloud.
IDC Ranked #1 NAS: PowerScale brings industry-leading NAS capabilities trusted across 22+ horizontal and vertical markets.
Optimized Connectivity: High-bandwidth networking options feature Dell PowerSwitch Z-Series, Spectrum switches, and NVIDIA Quantum InfiniBand.
GPU-to-GPU Performance: Backend networking fabrics optimize cluster throughput and eliminate data bottlenecks during model training.
Dedicated Management Fabric: Features isolated management networks using Dell PowerSwitch S3248T-ON for monitoring IT operations.
Energy Efficiency: Advanced cooling designs and energy-efficient hardware minimize operational costs and support sustainability goals.
Full-Stack AI Software Integration: Supports NVIDIA AI Enterprise, NVIDIA NIM models, NVIDIA Omniverse, and 3rd party ISV models.
End-to-End Services Lifecycle: Covers strategy, data preparation, platform configuration, use-case development, and operational scaling.
Broad Use-Case Support: Powers diverse application areas including generative AI, digital assistants, computer vision, code generation, and digital twins.