Case Study
From Pilot to Scale – Why Storage Infrastructure Is Critical to AI Success
Discover why traditional storage is holding back AI initiatives and how a flexible, platform-driven data architecture enables seamless scaling from pilot to production. Learn strategies to eliminate GPU starvation, lower operational costs, and satisfy changing lifecycle demands. Overcome the Hidden Bottlenecks Derailing Enterprise AI Deployments.
- Topic
- Data Management and Analytics
- Published
- 4 Aug 2026
Moving AI projects from pilot experimentation to full-scale production requires more than high-performance GPUs. legacy storage architectures are breaking under the demands of multi-modal data, extreme throughput requirements, and unpredictable latency.
This exclusive white paper from Omdia (commissioned by Dell Technologies) delves into why 70% of IT decision-makers identify storage-related challenges as a major barrier to AI success and provides an actionable framework to build an AI-ready data foundation.
Key Highlights:
The Infrastructure Gap: 70% of IT decision-makers state that storage-related challenges pose a significant barrier to achieving AI success.
Exponential Data Growth: 87% of IT leaders confirm AI is driving or will drive substantial data growth, driven largely by multi-modal rich media.
Security Concerns: 79% of IT leaders identify data security as a new and major hurdle in their AI deployment strategy.
The "GPU Starvation" Dilemma: Slow storage leads to high latency, leaving costly GPU clusters idle while waiting for data access.
Evolving Storage Priorities Across the AI Lifecycle:
- Data Collection & Prep: Capacity is the top challenge (45%).
- Model Training: Throughput and bandwidth take priority (30%).
- Inference: Low latency and fast I/O become paramount (23%).
The Myth of "One-Size-Fits-All": Standard storage architectures fail because neocloud providers require extreme performance, whereas midsize enterprises prioritize acquisition cost, ease of use, and data governance.
Dell Exascale Storage Innovation: Introduces the industry's only 3-in-1 storage capability that dynamically runs file, object, and parallel file software personalities on standardized Dell PowerEdge servers.
High-Performance Read Speeds: Delivers up to 150 GBps per rack unit of read performance for extreme-scale workloads (10PiB+).
Eliminating Storage Silos: Programmable storage orchestration allows organizations to reallocate performance and capacity dynamically across tenants, regions, and services without locking investments into isolated appliances.
Modular Dell AI Data Platform: Combines specialized Storage Engines (Lightning File System, PowerScale, ObjectScale) with intelligent Data Engines (Orchestration, Analytics, Processing).
Ecosystem & NVIDIA Integration: Integrates seamlessly with NVIDIA Enterprise AI and NVIDIA Blueprints to accelerate time-to-production across hybrid environments.