Cloud Computing for Research

Access scalable cloud computing platforms for research workloads that benefit from flexible infrastructure, managed services, or rapid deployment.

Your workload has fluctuating or unpredictable compute requirements.
You need rapid access to computing resources without waiting for local infrastructure changes.
Your project relies on cloud-native services such as managed databases, AI platforms, data pipelines, or containerized applications.
You need to collaborate with external researchers, institutions, or organizations using cloud-hosted resources.
Your research requires temporary infrastructure for a grant, pilot project, workshop, or course.
You need a hybrid approach that combines campus resources with commercial cloud platforms.

Consultation on whether cloud computing is the right solution for your research.
Recommendations for cloud architecture, storage, compute, networking, and security configurations.
Guidance on selecting appropriate cloud services and managing costs effectively.
Assistance designing hybrid workflows that integrate cloud resources with LSU Research Computing services.
Best practices for scalability, automation, data management, and research reproducibility.
Referrals to secure research resources when handling regulated or sensitive data.

Submit a Cloud Workflow Support request describing your project goals and anticipated cloud usage.
Provide information about your datasets, applications, collaborators, and expected computing requirements.
Meet with a Research Computing consultant to discuss architecture, security, scalability, and budget considerations.

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