We use Amazon Web Services (AWS) primarily for enterprise workloads such as application hosting, storage, and serverless computing. We are also actively testing HPC cluster configurations for research use.
Major Available Services (not an exhaustive list):
To request additional permissions or access to AWS services, please email rcc@odu.edu.
Microsoft Azure is used for enterprise workloads. Users have access to Virtual Desktop Infrastructure (VDI) as well as OpenAI APIs, which enable integration with large language models (LLMs) for chatbots and AI-driven applications.
If you are interested in using Azure for AI development or virtual desktop environments, reach out to us to learn more about available options.
We are currently exploring Google Cloud Platform (GCP) for research-oriented workloads. Our early use cases include Google Colab Enterprise, Google Workspaces for collaborative research, and Vertex AI for deploying machine learning models.
GCP offers flexibility for cloud-native AI workflows and seamless integration with Google’s ecosystem, making it well-suited for experimental and educational use cases.