Please join Mark III and NVIDIA at RMACC for an overview, walk-through, and live demo of building an AI agent app quickly and easily using NVIDIA NIMs and Blueprints. The first segment of this session will focus on a build of a simple AI agent bot built with a Llama 3 NIM. The second segment will focus on a live build and demo of a more advanced AI agent build with an NVIDIA Blueprint (powered by multiple NIMs). Lastly, the session will show how to quickly and easily finetune a model before being served up for API consumption by apps via NIMs. This session will be of interest to participants of all levels and skillsets looking to deploy AI services into their existing and new cloud-native and modern apps and research as quickly and effectively as possible.
Are you still debugging your code with print statements and commenting out chunks of code? Would you like a more efficient way to observe and test your programs? Then you should consider incorporating Visual Studio Code’s (VS Code) built-in debugger! In this workshop we will cover how to use the VS Code debugger for testing a software program at run time. You will learn how to pause a running program at key locations in your code (breakpoints) and observe and/or update your project’s variables. To follow along with the hands-on component of this workshop, you will need to bring a personal laptop computer. You will also need to either have VS Code installed on your laptop computer or have a Research Computing account so that you can use VS Code through OnDemand. You can register for a Research Computing account beforehand (this will take about 10 minutes).
Warewulf is an open-source cluster provisioning and management system primarily targeting HPC deployments. Its latest feature release, v4.6, includes a ton of new features, including an automated upgrade process, a completely new kernel management system, a new REST API, better management of site-local overlays, more dynamic and expressive overlay templates, a brand new abstract resources system, and significant performance improvements for large clusters.
In this session we will go over these changes and more in detail and showcase a new web interface from CIQ built specifically for Warewulf utilizing its new REST API. We'll also take audience questions, with a look into the future of the v4.6 release series.
Modern scientific computing demands flexible and scalable solutions that bring computing power closer to data while maintaining security and ease of use. We propose to present our solution which leverages Kubernetes to provide a platform to our employees, university members, and partner organizations that meets those demands and complements our existing HPC system. This presentation will cover how we utilize Continuous Integration and Continuous Delivery (CI/CD), coupled with GitOps and DevOps practices, to provide a robust and secure platform for hosting container-based workloads. These workloads include interactive web visualizations, JupyterHub instances, science gateways, data assimilation tools, data analysis tools, and those that require access to GPUs, including, but not limited to, AI/ML. The presentation will also cover how Cilium network and Kyverno access policies are implemented to secure the platform. It will also discuss how GitHub Actions are utilized to test and build codebases into containers that can run on the platform. Attendees will learn why we chose Kubernetes as our platform as well as practical strategies to implement similar solutions and common pitfalls to avoid.
Tired of wrestling with Slurm? This fast-paced, hands-on workshop will equip researchers with the essential tools and strategies to handle common challenges such as job failures, long queue times, and resource allocation issues. Whether you're a beginner or have some experience with SLURM, this workshop will enable you to design, build, and troubleshoot efficient HPC research workflows. If you would like to practice some of the hands-on exercises at the end of the session, register for a Research Computing account beforehand (this will take about 10 minutes).
