Cloud Computing
Research-specific Microsoft Azure environments — host data-intensive projects, run complex simulations, and access powerful computing without on-premises constraints.
About Cloud Computing for Clinical Research
The university offers a research-specific Azure subscription providing flexible, compliant environments customizable for individual projects — an alternative to traditional data centers for data-intensive projects, complex simulations, and powerful computing resources.
Intended use cases
- Short-term research projects requiring resource bursts
- Situations prioritizing fast, high-quality results over cost control
- Advanced technologies including AI chipsets, generative AI, and large language models
- Studies requiring HIPAA and NIST SP 800-171 Rev. 2 compliance support
How to request
- Submit a TDX support ticket including your IRB protocol.
- Staff contact you to schedule a consultation meeting.
- Together you determine the appropriate technologies, costs, and responsibilities for your project.
You may also need
Virtual Machine
A dedicated environment for researchers to prototype code and applications that cannot run on HPC — scalable, managed, on-premises VMware infrastructure in Linux and Windows.
Learn more →High-Performance Computing
Three advanced HPC clusters — SeaWulf, NVwulf, and ClinWulf — for computational research at every scale, including HIPAA-compliant computing on PHI data.
Learn more →Academic Research Storage
Centrally managed storage for active research projects with unrestricted data — up to 10 TB per research group on request.
Learn more →