Enterprise Data Centers
Enterprise data centers are privately owned and operated facilities built to support the IT needs of a single organization. Unlike hyperscale and colocation facilities, enterprise data centers focus on dedicated workloads such as ERP, CRM, R&D, and compliance-driven applications. While many enterprises are migrating to cloud, sectors like healthcare, finance, manufacturing, and government continue to maintain significant on-premises facilities for security, latency, and regulatory reasons.
Overview
- Purpose: Support mission-critical enterprise workloads with full control over infrastructure and data.
- Scale: Typically 1–10 MW, with some Fortune 500 enterprises running 20–50 MW campuses.
- Key Features: Customized to business needs; mix of legacy and modern equipment; often designed for high resilience and regulatory compliance.
- Comparison: Smaller and less standardized than hyperscalers; more specialized and controlled than colocation sites.
Architecture & Design Patterns
- Custom Workloads: Tailored for ERP, HPC, R&D simulations, analytics, and compliance systems.
- Network Integration: Often hybrid — connected to public cloud via private interconnects (e.g., AWS Direct Connect, Azure ExpressRoute).
- Resilience: Strong focus on redundancy (N+1 or 2N UPS, generators, dual feeds).
- Hybrid IT: On-premises combined with SaaS and cloud deployments.
- Security & Compliance: Designed around HIPAA, PCI DSS, SOX, FedRAMP, or other sector mandates.
- Operations: Managed by in-house teams or outsourced to facility management vendors.
Bill of Materials (BOM)
Domain |
Examples |
Role |
Compute |
x86 servers, IBM Power, HPE Superdome |
Run enterprise applications and databases |
Storage |
Dell EMC, NetApp, Pure Storage |
Enterprise file, block, and object storage |
Networking |
Cisco Nexus, Arista, Juniper |
LAN/WAN connectivity and hybrid cloud links |
Power |
UPS (Schneider, Eaton), diesel gensets |
Provide reliable facility power backup |
Cooling |
CRAC/CRAH units, in-row cooling |
Maintain IT equipment within spec |
Security |
Physical access controls, firewalls, SIEM |
Protect against physical and cyber threats |
Key Challenges
- Cost: Higher per-MW capex/opex than hyperscale or colocation due to smaller scale.
- Modernization: Legacy enterprise DCs often run outdated equipment or high PUE designs.
- Hybrid Migration: Balancing on-prem with cloud workloads adds complexity.
- Compliance Burden: Ongoing audits, documentation, and certifications increase overhead.
- Talent: Recruiting and retaining skilled facilities and IT staff is increasingly difficult.
Notable Sectors
Sector |
Example Use Cases |
Drivers |
Healthcare |
EHR hosting, medical imaging, genomics |
HIPAA compliance, patient data protection |
Finance |
Trading platforms, risk analytics, compliance reporting |
Latency, regulatory mandates (SOX, PCI DSS) |
Manufacturing |
PLM, ERP, digital twins, CAD workloads |
IP protection, OT integration |
Government |
Defense, census, taxation, intelligence workloads |
Data sovereignty, FedRAMP, ITAR compliance |
Future Outlook
- Hybrid Cloud Default: Enterprises increasingly run mission-critical apps onsite, commodity apps in cloud.
- Edge Convergence: Some workloads shift from enterprise DCs to distributed edge clusters.
- Energy Efficiency Retrofits: Growing retrofits with liquid cooling, BESS, and renewable PPAs.
- Colo Partnerships: Outsourcing small enterprise DCs to colocation operators, keeping only strategic core sites.
- AI Adoption: Enterprises may add GPU racks for in-house AI training or private inference workloads.
FAQ
- Why do enterprises still run their own data centers? For compliance, latency, security, or strategic control reasons.
- How big are enterprise data centers? Typically 1–10 MW, with rare exceptions at 20–50 MW for very large organizations.
- Are they being replaced by cloud? Many workloads have moved, but critical systems remain on-premises.
- How do they differ from colocation? Enterprise DCs serve a single organization, while colocation hosts multiple tenants.
- What’s the biggest challenge? Modernizing legacy infrastructure while balancing hybrid cloud complexity.