brannon/folding-at-home

Chart version: 0.1.1
Api version: v1
App version: 7.5.1
Donate compute for medical research and help cure diseases
application
Chart Type
Active
Status
Unknown
License
376
Downloads
https://helm.brannon.online
Set me up:
helm repo add center https://repo.chartcenter.io
Install Chart:
helm install folding-at-home center/brannon/folding-at-home
Versions (0)

Folding@home Helm Chart

Folding@home is a distributed computing project for performing molecular dynamics simulations of protein dynamics. This chart allows you to easily deploy Folding@home client in a K8s cluster to donate unused compute to medical research.

This chart is loosely based off of Rick Stoke’s k8s-fah repository. It supports CPU workloads only at this time.

Installing the Chart

# Make sure you've added this repo to helm
helm repo add brannon https://helm.brannon.online
# "username", "team", and "passkey" values are all optional.
# Omitting them causes Folding@home to submit work anonymously.
helm upgrade --install fah1 \
  --set username="Your Username" \
  --set team="11111" \
  --set passkey="somethingsecret" \
  brannon/folding-at-home

Uninstalling the chart

To uninstall/delete the fah deployment:

helm delete fah

The command removes all the Kubernetes components associated with the chart and deletes the release.

Parameters

The following table lists the configurable parameters for this chart and their default values.

Parameter Description Default
replicaCount The number of unique FAHClient instances you’d like to run 1
username The Folding@home username you’d like to associate work with (optional) ""
team The Folding@home team you’d like to associate work with (optional) ""
passkey Your passkey value which can be used to prevent other donors from impersonating you (optional, this must be created ahead of time on the Folding@home website.) ""
image.repository The Folding@home Docker image brannondorsey/fah
image.pullPolicy Image pull policy IfNotPresent
resources CPU/Memory resource requests/limits for each Folding@home replica. It is HIGHLY recommended that you set resource limits as Folding@home is CPU hungry! {}
nodeSelector Node labels for pod assignment {}
tolerations Toleration labels for pod assignment []
affinity Affinity settings for pod assignment {}