Our Systems
Node Types & Queues
| Queue Name | vCPUs | RAM | GPU | Max Instances | Use Case |
|---|---|---|---|---|---|
cpu-queue | 16 | 32GB | - | 20 | General purpose CPU jobs |
mem-queue | 16 | 128GB | - | 20 | High memory workloads |
gpu-queue | 16 | 64GB | 1x NVIDIA T4 (16GB VRAM) | 20 | NVIDIA GPU jobs |
Storage
File Synchronization
Files stored in /camber/home/<username>/outputs on the HPC cluster are automatically synchronized with your stash ./hpc-outputs directory.
If you accidentally delete the outputs folder (click to expand)
Recreate it from the HPC console:
ln -sf /camber/outputs/cmbr-local/user/<UUID>/hpc-outputs ~/outputsExtract UUID from your JupyterHub URL:
https://jupyter.cambercloud.com/user/993064cc-48fa-403e-a118-e1e94b4f9c8a/lab/...
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Your UUID hereUser Management
- Automated provisioning with home and scratch directories
- SSH key management via web portal
Feedback and Requirements
We welcome feedback on:
- Additional system-wide modules needed — Request specific software packages or libraries
- Queue configurations and sizes — Suggest optimal resource allocations for your workloads
- Features needed for broader adoption — Share what would make HPC more useful for your team
- Performance optimization requirements — Help us prioritize infrastructure improvements
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Get in Touch
Please contact the Camber team with any questions or suggestions about the HPC offering.