Amazon Elastic Block Store (EBS) for easy-to-use, high-performance block storage at any scale.

Amazon Elastic File System (EFS) for scalable, elastic, cloud-native NFS file systems.

Amazon Glacier for long-term, secure object storage for data archiving and backups.

Amazon Simple Storage Service (S3) for object storage designed to store and retrieve any amount of data from anywhere.

TAMU Microsoft OneDrive for cloud storage uploading and sharing of files and leveraging features across the Microsoft 365 suite of applications.

Texas A&M Health Shared File Services – Contact Us for storing and sharing files between groups of users and computers for research. Note: To be decommissioned as computing services are moved to the cloud.

Amazon Elastic Compute Cloud (EC2) for web service-based secure and resizable compute capacity in the cloud.

Custom Research Computing Environments – Contact Us for unique resource solutions.

STAR can accommodate for any of AWS' machine learning suite on a per research environment basis. Contact us to learn more and get started.

Amazon SageMaker for machine learning for every developer and data scientist.

Amazon SageMaker Ground Truth for easily labeling training data for machine learning at scale.

TensorFlow on AWS for deep learning in the cloud made simple.

Amazon RoboMaker for simulating and deploying robotic applications at cloud scale.

Amazon Ground Station for controlling satellites and ingesting data.

Amazon Sumerian for creating and running browser-based 3D, augmented reality (AR) and virtual reality (VR) applications.

Amazon Braket for exploring and experimenting with quantum computing.

REDCap for building and managing online surveys and databases.

Texas A&M Software Center for personal and departmental software purchases.