New Solution Brief

Accelerate discovery with scalable university research infrastructure

Legacy on-campus data centers often lack the capacity to handle the intense power and connectivity demands of modern research computing infrastructure, creating bottlenecks that slow critical work. AI and HPC research requires GPU-dense environments with advanced cooling, low-latency hybrid multicloud connectivity and airtight compliance controls. Most campus facilities were never designed to deliver these capabilities.

Equinix interconnected data centers give research institutions the foundation to run compute-intensive workloads where they perform best. Connect your campuses, cloud platforms, federal partners and collaborators through a single global footprint. Scale capacity on demand without breaking ground on new campus builds and position your institution to compete more effectively for grants.

  • Easier research data compliance: Address HIPAA, GDPR, FERPA and data sovereignty requirements across regions. Universities demonstrating robust security controls gain a significant advantage in grant competitiveness.
  • Scalability without new campus construction: Expand compute, storage and connectivity as research demands grow without capital-intensive campus builds.
  • Secure data sharing with partners: Share sensitive research data with federal agencies, national labs and collaborators through private, high-performance links that meet strict compliance standards.  

What you'll learn:

Download this use case brief to discover:

  • How to overcome campus infrastructure limitations for AI training and data-intensive research.
  • Infrastructure-level strategy for meeting multi-jurisdictional research data compliance (HIPAA, GDPR, FERPA).
  • Ways to strengthen grant applications by demonstrating enterprise-grade research computing infrastructure.  

Who this brief is for:

This resource is designed for:

  • University CIOs and IT leadership evaluating infrastructure modernization
  • Research computing directors managing HPC and AI workloads 
  • Infrastructure and facilities teams facing power and cooling constraints
  • Compliance and security stakeholders navigating federal and international data regulations
  • Research administrators focused on grant competitiveness