Dell, Digital Realty and DXC Bring Private AI to Enterprise Data with an End-to-End Blueprint
Dell, Digital Realty, and DXC deliver a repeatable path to private AI by your data, with security and control. Expect faster rollout plus measurable outcomes and managed operations.
Digital Realty, Dell, and DXC: A Practical Blueprint for Private AI at Scale
Operations leaders want AI that ships on time, stays secure, and pays for itself. Digital Realty, Dell Technologies, and DXC have teamed up to make that practical with a repeatable way to build and run private AI next to your data, under your controls.
The offer combines Dell's AI Factory stack, Digital Realty's global PlatformDIGITAL colocation footprint, and DXC's implementation and managed operations. The goal: shorter deployment cycles, consistent runbooks, and measurable outcomes-without moving sensitive data into public environments.
What's in the stack
- Dell AI Factory: Dell PowerEdge servers, Dell AI Data Platform, and Dell Networking.
- Digital Realty PlatformDIGITAL: High-density colocation built for AI workloads with global reach and proximity to enterprise data sources.
- DXC services: Planning, deployment, enablement, and end-to-end operational management.
Why operations should care
- Data stays close: Reduce data movement, latency, and exposure by bringing compute to your data.
- Repeatable architectures: Validated designs and use cases cut guesswork and speed up go-live.
- Clear ownership: One integrated delivery motion-planned, implemented, and operated by DXC across Dell and Digital Realty.
- Built-in connectivity: ServiceFabric from Digital Realty provides private interconnect to cloud and enterprise networks for hybrid patterns.
Validated use cases you can run privately
- RAG and search over proprietary documents with auditability and access controls.
- Customer support summarization and agent assist with data residency in place.
- Forecasting, supply planning, quality inspection, and anomaly detection for plant or logistics data.
How it's delivered
- Plan: Assess data sources, compliance requirements, capacity, and target use cases.
- Deploy: Stand up Dell AI Factory inside PlatformDIGITAL, wire up ServiceFabric, and configure security boundaries.
- Operate: DXC provides monitoring, patching, model lifecycle processes, and enablement for your teams.
What the partners are saying
"AI success requires more than infrastructure, it demands the right people, processes, and technology. Together with Dell's validated designs and Digital Realty's infrastructure, DXC brings implementation and secure end-to-end management services that help enterprises turn AI ambition into business outcomes, faster and with greater impact." - Holland Barry, Global Field Chief Technology Officer, DXC Technology
"AI is transforming how organizations operate and innovate, but realizing its full potential requires infrastructure, strategy and operational expertise to work together seamlessly. Our collaboration with Dell and DXC helps customers solve real problems, move faster and scale AI initiatives more securely - helping bring actionable intelligence directly to their data and business operations." - Colin McLean, Chief Revenue Officer, Digital Realty
Industry perspective: "By merging extensive global infrastructure with practical solutions, real-world use cases and deep technical expertise, this collaboration enables enterprises to simplify operations, accelerate deployment and unlock the full potential of their data as a strategic asset." - Courtney Munroe, Research Vice President, IDC
Architecture checkpoints for Ops
- Capacity and density: Confirm rack density, thermal design, and electrical headroom for current and next-gen accelerators.
- Interconnect: Map data sources and latency budgets; design private links via ServiceFabric and direct cloud on-ramps.
- Data governance: Enforce data residency, encryption, key management, and role-based access across training, fine-tuning, and inference.
- Security: Segment workloads, implement zero trust, and integrate SIEM/SOAR with the managed runbooks.
- Model lifecycle: Define versioning, eval gates, rollback plans, observability, and incident response for model drift.
Metrics that matter
- Time to first model in production and time between iterations.
- Inference latency and throughput against SLA per use case.
- Cost per inference and total cost per use case (CapEx + OpEx).
- Quality: Task-specific accuracy, hallucination rate, and human acceptance rate.
- Uptime and change failure rate across the AI stack.
90-day execution plan
- Weeks 1-2: Pick two high-value, compliant use cases. Lock success criteria and SLA targets.
- Weeks 3-4: Capacity planning with Digital Realty; finalize racks, cooling, and interconnect design.
- Weeks 5-8: Deploy Dell AI Factory in PlatformDIGITAL; wire ServiceFabric; integrate identity, logging, and secrets.
- Weeks 9-10: Validate models against eval suite; run security and compliance checks.
- Weeks 11-12: Launch to a limited user group; monitor KPIs; prepare scale plan and runbook handoff.
Procurement and risk checklist
- Vendor roles: Who owns SLAs for hardware, facility, interconnect, and managed services.
- Compliance: Data residency statements, audit artifacts, and model governance policies.
- Capacity roadmap: Growth plan for racks, accelerators, and storage over 12-24 months.
- Exit/portability: Data export, model migration, and decommission procedures.
- Support: Escalation paths, response times, and on-site access windows.
Useful resources
Upskill your team
If your operations team needs practical enablement on AI runbooks and governance, explore role-based learning paths at Complete AI Training.
