Current rates
- 1 CPU hour = 0.06 DKK
- 4 GB memory allocated for 1 hour = 0.06 DKK
The higher value determines the charge.
Usage and accounting
Pricing and Resource Usage
BioHPC is a Department of Biology initiative that provides Department of Biology employees with access to shared compute and storage resources through approved Project Spaces.
Compute usage is charged according to the Rubus cost model, while storage follows the University of Copenhagen storage pricing model.
Compute usage is tracked through the Rubus accounting system, while storage allocation is organized through Project Spaces. BioHPC can provide usage summaries and reports to help approved Department of Biology Principal Investigators understand resource consumption and project costs.
Compute Pricing
Compute charges are based on the highest of CPU usage or memory allocation.
Important billing rule
Jobs are billed according to whichever resource contributes the highest cost:
- CPU allocation
- Memory allocation
This ensures that both CPU-intensive and memory-intensive workloads are accounted for fairly.
Example 1
2 CPUs
8 GB memory
10 hours
CPU cost:
2 x 10 x 0.06 DKK = 1.20 DKK
Memory cost:
(8 GB / 4) x 10 x 0.06 DKK = 1.20 DKK
Charge: 1.20 DKK
Example 2
8 CPUs
16 GB memory
24 hours
CPU cost:
8 x 24 x 0.06 DKK = 11.52 DKK
Memory cost:
(16 GB / 4) x 24 x 0.06 DKK = 5.76 DKK
Charge: 11.52 DKK
CPU dominates.
Example 3
4 CPUs
128 GB memory
12 hours
CPU cost:
4 x 12 x 0.06 DKK = 2.88 DKK
Memory cost:
(128 GB / 4) x 12 x 0.06 DKK = 23.04 DKK
Charge: 23.04 DKK
Memory dominates.
Typical genomics job
16 CPUs
64 GB memory
48 hours
CPU cost:
16 x 48 x 0.06 DKK = 46.08 DKK
Memory cost:
(64 GB / 4) x 48 x 0.06 DKK = 46.08 DKK
Charge: 46.08 DKK
CPU and memory contribute equally.
Storage Pricing
Storage pricing follows the University of Copenhagen storage model.
Current UCPH prices for 2026
- 980 DKK per TB per year with backup and disaster recovery
- 421 DKK per TB per year without backup and disaster recovery
Storage prices are maintained centrally by UCPH and may change annually.
Storage costs are separate
Storage pricing follows the University of Copenhagen storage model and is independent of compute consumption.
Storage allocation is organized through approved Project Spaces so storage usage and associated costs can be understood at project level.
Storage costs may become relevant when budgeting large sequencing datasets, imaging projects, long-term archives, or Department of Biology employee research projects.
Understanding Resource Usage
Compute usage
Compute usage is tracked per user (KU-ID) through the Rubus accounting system.
BioHPC can provide usage reports to approved Department of Biology Principal Investigators showing compute consumption associated with their Project Spaces and approved Department employees.
Storage usage
Storage allocation is organized through Project Spaces.
This makes it possible to understand storage consumption and costs at the level of individual research projects.
More Details
Rubus Documentation
Detailed information about compute resources, job submission, Slurm, software modules, and HPC usage.
Questions about pricing?
Contact the BioHPC team if you need help estimating costs for a Department of Biology employee project, preparing grant applications, or understanding resource consumption.