All Things AI – November 2025

Posted on By Daphne McCanse

Welcome to All Things AI, your quick-hit listing of opportunities, upcoming events, and training related to the NAIRR Pilot and other AI Initiatives. See the complete list of NAIRR Pilot Events and Training and subscribe now to the NAIRR Pilot Newsletter.

  • NAIRR Pilot User Experience Working Group is seeking input in an upcoming workshop on artificial intelligence, with travel support available to attendees. We would like to hear from community members of any skill level and from any discipline about what topics would be most beneficial for you around artificial intelligence. Please take this very short survey (less than five minutes to complete) by November 15.
  • Geospatial Deep Learning with TorchGeo – Nov 10, 2025, 1:00-3:00 pm CT This workshop provides hands-on experience using TorchGeo for geospatial deep learning. TorchGeo is a PyTorch domain library similar to torchvision, providing datasets, samplers, transforms, and pre-trained models specific to geospatial data.
  • Using NVIDIA GPUs with Python – Nov 13, 2025, 1:00-3:00 pm CT This workshop gives hands-on experience accelerating Python codes with NVIDIA GPUs. Participants will explore drop-in replacements for SciPy and NumPy codes through CuPy library, then cover NVIDIA RAPIDS, which accelerates GPU operations for end-to-end data science workflows.
  • ACES: GPU Programming (CUDA) – Tuesday, November 4, 2025, 11:00 am-1:30 pm ET Virtual/Zoom training covering basic topics in CUDA programming on NVIDIA GPUs. Topics include CUDA architecture, basic language usage of CUDA C/C++, and writing/executing CUDA code.
  • Portable Accelerator Programming with SYCL – Tuesday, November 4, 2025, 2:00-3:00 pm ET Virtual training where SYCL provides an open standard for programming heterogeneous architectures similar to CUDA. This webinar from San Diego Supercomputer Center will give a high-level overview of the SYCL programming language and required software stack.
  • Sage Office Hours – Tuesdays 11:00 am-12:00 pm CT, Thursdays Join informative Office Hours via Zoom to learn more about Sage and enhance your skills. Sessions cover portal navigation, resource allocation requests, AI Edge applications, and provide assistance with any challenges.
  • Anvil Support Hour – Thursdays 2:00-3:00 pm ET Get support from the Anvil team for complex workflows or to discuss ideas directly with the team. Available every Thursday with registration required for Zoom access, covering account/allocation issues, running jobs, software installation, and more.
  • NAIRR Pilot Partner Showcase: Groq – Thursday, November 6, 3:00 -3:45 pm ET Virtual training on AI adoption showcasing Groq’s compute infrastructure and demand shifts from training massive models to serving billions of inference requests. The session addresses challenges with its Language Processing Unit (LPU) chip delivering superior inference performance for exotic cooling or power requirements.
  • ACES: Running Jupyter Notebook on the ACES Portal – Friday, November 7, 11:00 am-12:00 pm ET Virtual Zoom training on using Jupyter Notebook within Open OnDemand on the ACES cluster. The session covers starting a composable accelerator testbed at Texas A&M University for interactive coding in several languages and documentation via Markdown.
  • Pegasus Workflows Office Hours – First Friday of each month, 2:00-3:00 pm ET Virtual sessions about workflows or need guidance simplifying and streamlining HPC workflows. Join monthly office hours for questions about tools and expert help, with walkthrough tutorials and community discussions available.
  • NAIRR Pilot Partner Showcase: Lexset – Monday, November 10, 1:00 -2:00 pm ET Join for an in-depth webinar on creating visual synthetic data with Seahaven, our advanced 3D simulation platform. We’ll explore physics-based rendering, procedural scene generation, and training/validating modern computer vision models through the full synthetic data pipeline from scenario creation to labeled image generation.
  • NVIDIA Deep Learning Institute: Rapid Application Development with Large Language Models – Tuesday, November 11, 10:00 am-5:00 pm ET Recent advancements in both hardware and accessibility of large language models (LLMs) have opened unprecedented opportunities for streamlining business operations. This course provides hands-on experience extracting valuable customer insights and understanding LLM application development for the open-sourced ecosystem.
  • ACES: AI/ML TechLab on Graphcore IPUs – Tuesday, November 11, 11:00 am-1:30 pm ET This short course introduces researchers to Graphcore Intelligence Processing Units (IPUs) on the ACES cluster. The instructor demonstrates execution of models from different ML frameworks on the IPU system, with participants gaining practical experience in converting TensorFlow/PyTorch code into IPU code through hands-on exercises.
  • Open on Demand Office Hours – Second Tuesday of each month, 11:15-12:45 am ET Open OnDemand provides innovative web-based access to research computing resources without needing to streamline workflows and accelerate scientific discovery. Hosted on Zoom by our development team.
  • ACCESS and NAIRR Pilot Office Hours – Tuesday, November 11, 3:00-4:00 pm Office Hours are hosted by SCIPE Cyberinfrastructure Professionals (CIPs) and ACCESS Cyberinfrastructure Integration (ACI) resource providers. Sessions provide opportunities for engaging the national CI ecosystem and getting questions answered about available resources.
  • Neocortex Office Hours – Wednesdays, 2:00-3:00 pm ET Curious about harnessing Neocortex’s unique architecture featuring two Cerebras CS systems and an HPE Superdome Flex server? Our weekly Neocortex Office Hours provide space to connect with experts and unlock the full potential of this AI supercomputer hosted at the Pittsburgh Supercomputing Center.

This work was supported by the National Science Foundation through  Early-concept Grants for Exploratory Research (EAGER) NSF award #2436057. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.