Jeremy Gee

## Cheaha HPC Cluster | Partition | Time Limit in Hours | Nodes (Limit/Partition) | Cores/Node (Limit/Person) | Mem GB/Node (Limit/Person) | GPU/Node (Limit/Person) | |:-------------------|:----------------------|:--------------------------|:----------------------------|:-----------------------------|:--------------------------| | express | 2.0...

## Detailed Hardware Overview | CPU GPU Generation | Compute Type | Die Name | Gpu Name | Gb Mem Node | Gpu Mem Gb | Gpu Per Node |...

Sorry I didn't see this ticket before I did this but I updated the tables to make them more readable. Putting the relevant information closer to the left and combining...

Launching a JupyterLab server in a High-Performance Computing (HPC) environment. Here's how to fill out each section: 1. **Environment Setup**: This section allows you to specify any additional software modules...

### Computational Partitions 1. **express**: This is a partition designed for quick, small-scale jobs. The time limit is often very short (e.g., 2 hours), but the jobs get scheduled quickly....

**Node**: A standalone unit within a larger computer cluster, equipped with its own memory and processing capabilities. Nodes perform individual tasks and can communicate with other nodes in the network....

To allocate for specific resources for example a A100 GPU with 80 GB VRAM, 125 GB RAM, and 8 vCPUs for a Jupyter Lab AI project on Cheaha, you'd typically...

## Introduction to the Hardware Section In high-performance computing (HPC) environments like Cheaha, efficient resource allocation is crucial. To help manage this, Cheaha employs a resource management system known as...

Link to preview version: https://uab-it.github.io/uabrc-jg/

new updates at https://uab-it.github.io/uabrc-jg/ I have not changed the request. Will update after our meeting.