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EI Cloud (CyVerse)
Tom Paine edited this page Oct 15, 2025
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In addition to HPC, Earlham Institute, under the Papatheodorou Group, provides an OpenNebula virtual machine (VM) platform that is available to researchers.
This platform is free to use and provides VMs for short and long term use. These VMs can be used to host internal and internet accessible services, and is suitable for workloads that would not fit or run well on a user's staff computer.
- Cores per host: 64
- RAM per host: ~503 GB
- Cores per host: 20
- RAM per host: ~503 GB
10GbE
~40 Petabytes
Until self-service access is enabled by Research Computing, VMs must be requested via template (accessible using your NBI login).
Email: At top of the VM request template
Tom Paine @aioue
- Induction
- HPC Best practice
- Job Arrays - RC documentation
- Methods to Improve I/O Performance - RC documentation
- Customising your bash profile for ease and efficiency
- Customise bash profile: Logging Your Command History Automatically
- Using the ei-gpu partition on the Earlham Institute computing cluster
- Using the GPUs at EI
- HPC Job Summary Tool
- EI Cloud (CyVerse)
- Git and GitHub
- Worked examples
- Job Arrays
- Using Parabricks on the GPUs
- dependencies
- Software installations
- Workflow management system
- Transfers
- Local (mounting HPC storage)
- Remote - <1gb (ood)
- Remote - <50gb (nbi drop off)
- Remote - No limit (globus)
- mv command