The New England Research Cloud (NERC) is thrilled to announce the launch of ultra-powerful NVIDIA H100 80GB GPUs—now accessible through our OpenShift and OpenShift AI (RHOAI) platforms!
Whether you’re developing advanced AI models, running large-scale simulations, or exploring the frontiers of Generative AI and Large Language Models (LLMs), these cutting-edge GPUs are designed to enhance your performance.
Where You Can Use H100 GPUs:
- NERC OpenShift-based Containers
- NERC Red Hat OpenShift AI (RHOAI) via JupyterLab Workbenches
Getting Started Is Simple:
Accessing these GPUs is just a few clicks away. Just request your desired GPU quota under the “OpenShift Request on GPU Quota” through the ColdFront Web Interface as part of your “NERC-OCP (OpenShift)” resource allocation.
- Running OpenShift Containers? You can specify multiple GPUs within the Pod spec, provided your NERC-OCP (OpenShift) quota has sufficient GPU quotas as described here.
- Using RHOAI? Easily select the required Accelerator and Number of accelerators (GPUs) for your JupyterLab environment, outlined in our data science project setup.
Build the Future with Predictive & Generative AI
Ready to explore LLMs, Retrieval-Augmented Generation (RAG), and other cutting-edge applications? To get started with Predictive and Generative AI workloads—including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)—on NERC, please refer to our documentation, which includes additional resources and practical examples to help guide your development.
Maximize Value with Flexible GPU Options
Need great performance at a lower cost? NERC also offers a lower-cost tier of A100 and V100 GPU options, ideal for AI/ML workloads that don’t require the H100’s top-tier specs.
Learn More & Get Started
Accelerate your research and innovation with the power of H100 GPUs on NERC.
Need help? Email us or open a support ticket.
Explore the tech behind it: NVIDIA H100 Overview
Visit: nerc.mghpcc.org
