[RCAC Workshop]Powering data-intensive AI workflows with Anvil Object Storage

📅 Date: December 4th, 2026 ⏰ Time: 2PM-3PM 💻 Location: Virtual 🏫 Instructor: Nannan Shan

Are you working with massive datasets or training AI models on the Anvil cluster? Traditional file systems can sometimes become a bottleneck for data-intensive research. To help you scale your workflows, we are excited to introduce a new training session on Anvil Object Storage.

This comprehensive session will walk you through our new scalable storage solution, designed specifically to handle the demands of modern, high-performance computing tasks.

What You Will Learn: The Basics of Object Storage: A clear, jargon-free breakdown of what object storage is and how it differs from traditional file and block storage.

The AI Advantage: Why object storage is the preferred solution for managing massive, unstructured datasets and accelerating artificial intelligence/machine learning workflows.

Getting Started: A step-by-step guide on how to request and configure your access to Anvil Object Storage.

Hands-On Examples: Practical demonstrations of how to interact with the storage system using command-line tools and Python.

Who Should Attend: Anvil users, researchers, and students who are dealing with large amounts of data, running AI/ML workloads, or anyone simply looking for more efficient ways to manage their research data.

Required Knowledge Level: Beginner Absolutely no prior knowledge of object storage is required! We will build your understanding from the ground up. Basic familiarity with the Anvil cluster environment and general command-line navigation is helpful, but all concepts will be clearly explained.

🔗 Register now: LINK