Designing the Future: How Dell’s AI Factory and PowerScale Supercharge Scalable AI Productivity

If you're serious about AI and scalability, Dell Technologies is making sure you're not left behind. At Dell Technologies World 2025, I had the chance to sit in on an incredible session titled “Accelerate Productivity Leveraging the Power of AI Factory with PowerScale Storage.” It didn’t just meet my expectations—it redefined how I view scalable AI infrastructure.
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Here’s a recap of what made this session so powerful.

The AI Factory: Infrastructure with Intent

Dell’s AI Factory is more than marketing buzz—it's a blueprint for delivering production-ready AI. Built using Dell switching and powered by a 400Gbps core fabric with 100Gbps uplinks per node, the environment is engineered for one thing: fast, high-volume AI workloads. This speed is critical when loading large language models (LLMs) across GPUs, and Dell’s architecture ensures that happens with near-zero latency.
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Whether you're deploying a chatbot, building digital assistants, or scaling to enterprise RAG (retrieval augmented generation) agents, Dell’s AI Factory provides the optimized backbone.

​PowerScale: Storage That Thinks Fast

PowerScale storage is the unsung hero of this story. It’s not just fast—it’s smart.

In this session, we saw real-world examples where massive data sets, like 100,000+ documents from arXiv, were chunked, embedded, and indexed in seconds using vector databases. Thanks to PowerScale’s integration with container storage interfaces (CSI), that data could then be quickly retrieved—5% faster than comparable block storage options and with much lower latency.

For AI workflows where every millisecond counts (think: healthcare diagnostics or real-time surveillance), that performance edge is everything.

Agentic AI Use Cases: Plug, Play, Deploy

Dell showcased multiple agentic AI use cases—from digital assistants to healthcare copilots—demonstrating how modular and extensible this architecture is. A standout moment? Seeing how natural language prompts could instantly generate automation scripts via AI core assistants. You ask in plain English; the system returns production-ready code.
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Even better: these aren't theoretical tools. They're downloadable Jupyter notebooks from Dell’s GitHub repos, ready to be tested in your own environment today.

Kubernetes & Red Hat OpenShift: AI-Ready From the Ground Up

This is a cloud-native AI ecosystem. Workloads run in containers via Kubernetes, integrated seamlessly with CSI for persistent storage. Dell supports both PowerScale and PowerStore as back-end storage, giving flexibility depending on your performance and cost requirements.
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With OpenShift, snapshotting, replication, and volume management are built into the workflow—no storage headaches, just smooth delivery of AI models to the applications that need them.

​Real Benchmarks, Real Impact

Dell engineers didn’t just talk theory—they brought the benchmarks. Using Elasticsearch and embedding workflows, they demonstrated end-to-end vector indexing and retrieval performance across both PowerStore and PowerScale, proving PowerScale’s superiority in high-throughput, inference-heavy environments.
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Latency wins went to PowerScale, especially during inference and retrieval workloads. For AI applications like conversational interfaces or research copilots, those microseconds matter.

​Final Thoughts: AI on Your Terms

What struck me most was how modular and adaptable this entire architecture is. Want to deploy a retail assistant instead of a medical one? Just change the data set. Want to expand your environment from 1 GPU to 8? The system is built to scale—horizontally, vertically, and intelligently.
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From data to inference, from container management to cloud-native governance—Dell’s AI Factory + PowerScale storage combo is ready for whatever AI future you envision.

If you’re considering scaling AI in your enterprise, this session was a wake-up call:

​Get serious about your infrastructure. AI isn’t just about models—it’s about the foundation you build them on. And Dell just gave us a playbook.