Trainings & Events

Amazon Research Awards (ARA) Open for Fall '26 Proposals

• Agentic AI
• AI for Information Security
• Amazon Security
• Automated Reasoning
• AWS Cryptography
• Build on Trainium: Agentic, Recursive Improvement of Kernels and Frameworks
• Multilingual and Contextual AI Evaluation
• On-Device Multimodal Perception
• Synthetic Data Generation for Multimodal Perception

• What ARA is looking for: High-quality scientific content, creative approaches, and potential for impact at scale. Proposals related to theory, practice, and novel techniques are all welcome.
• What recipients receive: Unrestricted funds, AWS promotional credits, an assigned Amazon research contact, and training resources — including AWS tutorials and hands-on sessions with Amazon scientists and engineers.

AWS Lunch & Learn Series

Research IT is partnering with AWS to host this series of training workshops. Take advantage of this unique opportunity to learn directly from an AWS Solutions Architects about leveraging AWS for research computing. Whether you’re a researcher, faculty member, or graduate student, this session will help you optimize your research workflows using AWS services.

Topic: EC2 Essentials for Research Computing (Hands-on Learning)

Thursday, November 19, 2026, 11am - 1pm
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Join us for an interactive AWS Lunch and Learn session where you'll learn directly from an AWS Solutions Architect about leveraging AWS for research computing.  

Amazon EC2 (Elastic Compute Cloud) gives researchers on-demand compute, from small virtual machines to GPU clusters, with no wait for hardware. Researchers use it for simulation, genomics and AI/ML training. Using it well keeps your workloads secure, your costs under control, and your jobs running reliably.

In this session, you will learn how to:

• Run your notebooks and scripts on EC2: Launch an instance sized for your workload, open JupyterLab securely through Session Manager, and run long jobs that keep going after you close your laptop.
• Use GPUs for AI/ML and imaging: Choose GPU instances for deep learning, model fine-tuning and image analysis. You'll also see how to get GPU capacity when it's scarce, for example with Capacity Blocks for ML.
• Stretch your grant dollars: Run fault-tolerant batch jobs on Spot Instances (up to 90% off), auto-stop idle instances, and track spend for each grant or lab with tags and AWS Budgets.
• Protect data and stay reproducible: Secure IRB or HIPAA data with IAM roles and security groups. Save your setup as a custom image (AMI) so collaborators can rebuild the same environment.

This session is ideal for researchers, data engineers and IT professionals who:

• Wait days in campus HPC queues, or run genomics, simulation or imaging workflows that have outgrown their laptop or lab server
• Need GPUs to train or fine-tune AI/ML models but don't have reliable access on campus
• Want to keep cloud spending within grant budgets and avoid surprise bills from idle instances

Register Now! 

Brought to you by Research IT Services 

Join us for a hands-on session focused on the practical steps researchers and IT teams take to move from an idea to a running workload in Azure! 

Using a simple, hypothetical research computing scenario, we'll walk through the entire process:

• Budgeting for Grants: Learn how to estimate cloud costs for a grant or funding request, featuring a live demonstration of the Azure Pricing Calculator for an infrastructure-based virtual machine solution.
• Hands-On Deployment: Complete the journey by deploying that workload directly in Azure, giving you a practical view of how to translate a funded project from concept into an operational environment.