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hpc:pi_resources

PI resources information

A High Performance Computing (HPC) cluster is a shared scientific infrastructure that provides a large amount of computing resources for research projects.

This page is intended for Principal Investigators (PIs) and explains how Billing Units (BU), our unified measure of computing resource usage, are allocated to research groups, how consumption is monitored, the costs associated with HPC usage, and the options available for purchasing or renting private compute nodes.

Cost Model

The HPC service is free in specific situations:

  • Educational courses can use the platform free of charge.
  • Each Principal Investigator (PI) receives an annual allocation of free Billing Units (BU).

Additional usage can be covered through:

Cost Model at a Glance

The HPC accounting model is based on a single resource unit called the Billing Unit (BU).

  1. Every PI receives 100,000 BU per year free of charge.
  2. Research groups that own or rent compute nodes receive additional annual BU allocations.
  3. CPU, memory, and GPU usage are converted into BU using standardized conversion factors.
  4. BU can be consumed on any of our HPC clusters: Baobab, Yggdrasil, and Bamboo.
  5. Once all available BU have been consumed, additional usage is billed according to the SNSF pricing table.

Annual Billing Units

Research groups may receive Billing Units from two sources:

  • The annual free allocation provided to every PI.
  • The hardware owned or rented by the research group.

You can check your available BU using:

Resources Available for Research Groups (HPC account or group member with HPC access required)

If your research group owns compute nodes but your PI does not appear in the report, please contact the HPC support team.

Billing Period

Billing Units are tracked annually from December 1 to November 30.

For example:

Billing Year Usage Period
2026 2025-12-01 → 2026-11-30
2027 2026-12-01 → 2027-11-30

Monthly reports, annual allocations, remaining balances, and any applicable charges are calculated using this accounting period.

Resource Accounting Standardization

All resources are accounted for using a unified Billing Unit (BU) model. CPU usage, memory consumption, and GPU usage are converted into Billing Units using predefined conversion factors.

For details, please refer to: Resource Accounting Uniformization

This unified accounting system allows all resources to be compared and billed consistently, regardless of the underlying hardware.

(Optional) Resource Usage quota

PIs who wish to prevent their research group from exceeding its annual Billing Unit (BU) allocation may request the activation of resource usage limits on their research group account.

When enabled, these limits are enforced by the HPC scheduling system and can help avoid unexpected overconsumption.

Please contact the HPC support team if you would like this option to be enabled for your research group.

Price per Billing Unit

Overview of the SNSF HPC pricing table:

You can download the complete table here:

SNSF Pricing Table

University of Geneva users are billed according to category U1.

Categories U2 and U3 apply to external organizations such as companies and non-academic institutions.

Free Annual Allocation

Each PI (Principal Investigator) receives 100,000 Billing Units per year free of charge.

This allocation is granted per PI and not per individual user.

See:

How to check PI and user resource usage (HPC account or group member with HPC access required)

Progressive Pricing

A tiered pricing model is applied to paid resource consumption.

As annual usage increases, additional discounts are automatically applied:

Annual Usage (BU) Applied Price
0 – 199,999 Base Rate
200,000 – 499,999 Base Rate -10%
500,000 – 999,999 Base Rate -20%
1,000,000+ Base Rate -30%

This model provides reduced costs for large-scale projects.

Purchasing or Renting Private Compute Nodes

Research groups may purchase or rent compute nodes that are integrated into one of the HPC clusters.

These nodes provide:

  • A private partition with higher scheduling priority.
  • Reduced queue waiting times.
  • Maximum job runtimes of up to 7 days instead of 4 days on public resources.
  • Additional annual Billing Units associated with the hardware contribution.

Benefits of Private Compute Nodes

Owning or renting compute nodes offers two major advantages:

  • Higher scheduling priority on your private resources.
  • Additional Billing Units that can be consumed on any HPC cluster.

Although the hardware is physically attached to a specific cluster, the associated Billing Units can be used across Baobab, Yggdrasil, and Bamboo, including GPU resources.

Usage Limits

To preserve the shared nature of the infrastructure, research groups may consume up to 60% of the theoretical annual resource contribution of the hardware they own or rent.

Example for a compute node with:

  • 128 CPU cores
  • 512 GB RAM
  • 1 year contribution period

Calculation:

  • CPU contribution: 128 × 1.0
  • Memory contribution: 512 × 0.25
  • Time period: 24 × 365
  • Usage factor: 0.6

Result:

(128 × 1.0 + 512 × 0.25) × 24 × 365 × 0.6
= 1,342,848 BU

The resulting allocation (1,342,848 BU) can be consumed on any cluster.

The purpose of this model is to ensure fair sharing of the infrastructure while rewarding groups that contribute hardware resources.

Rules and Conditions

  • Shared Integration: The node is integrated into the cluster and remains available to other users when not used by the owning group. See Partitions.
  • Usage Policy: Usage is governed by the 60% allocation rule described above.
  • Administrative Access: Research groups do not receive administrative access to compute nodes.
  • Maintenance: Installation and operational maintenance are handled by the HPC team.
  • Decommissioning: Nodes may be retired when they become obsolete but will remain in service for at least five years.

Ownership and Warranty

  • Compute nodes remain associated with the research group for 5 years.
  • After this period, the hardware may continue to operate within the cluster but will only be accessible through public or shared partitions.
  • Nodes include a 3-year manufacturer warranty.
  • After the warranty period, repair costs are the responsibility of the research group.
  • Diagnostic costs charged by the vendor are capped at 420 CHF, even if the hardware cannot be repaired.

Cost of Renting a Compute Node

The monthly rental cost is calculated from:

  1. The vendor purchase price.
  2. A 15% infrastructure surcharge covering racks, cabling, networking, storage, and operational costs.
  3. A 5-year amortization period.

Example:

  • Vendor price: 14,361 CHF
  • Infrastructure surcharge (15%): 2,154.15 CHF
  • Total cost: 16,515.15 CHF
  • Amortization period: 60 months

Monthly rental cost:

16,515.15 CHF / 60
= 275.25 CHF per month

Currently, standard rental nodes consist of:

  • 128 AMD CPU cores
  • 512 GB RAM

Such a node provides approximately 1.34 million Billing Units per year.

Rental Conditions

  • Minimum rental duration: 6 months
  • Unused Billing Units are not carried over and expire at the end of the calendar year.
  • Custom hardware configurations may be available upon request.

For quotations or additional information, please contact the HPC support team.

Monthly Usage report for PI

Every PI receives a monthly usage report summarizing the group's resource consumption.

The report includes:

  • Annual Billing Units allocated to the research group.
  • Billing Units consumed since the beginning of the year.
  • Remaining Billing Units.
  • Current balance status.

A color indicator helps quickly identify the situation:

  • Green: the group remains within its allocated Billing Units.
  • Red: the group has exceeded its allocation and additional usage may be billed.

Example:

Monitoring Usage

To monitor your group's current resource consumption, consult:

Report and Statistics with sreport (HPC account or group member with HPC access required)

hpc/pi_resources.txt · Last modified: by Adrien Albert