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, recreate it from the HPC console:
ln -sf /camber/outputs/cmbr-local/user/<UUID>/hpc-outputs ~/outputs
Extract UUID from your JupyterHub URL:
https://jupyter.cambercloud.com/user/993064cc-48fa-403e-a118-e1e94b4f9c8a/lab/...
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
Your UUID here
User 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
ℹ️
Get in Touch
Please contact the Camber team with any questions or suggestions about the HPC offering.
Please contact the Camber team with any questions or suggestions about the HPC offering.