The CBI operates a large Linux compute cluster that is available to anyone affiliated with the Cancer Center - feel free to contact us if you would like to join or have questions. We utilize a "condo" model where some resources are available without charge to everyone, but users with substantial needs contribute hardware and/or storage and have priority for those resources.
The cluster has 36 nodes and 1680 cores. Each node has up to 512 GiB of RAM and up to 7 TiB of fast local disk space (scratch). In addition to 220 TiB global disk space shared among all users, several research groups have disk space of their own mounted to the cluster. The cluster runs Scyld ClusterWare on Red Hat Enterprise 6.6. It uses TORQUE PBS and Moab for workload scheduling and resource management. All nodes have identical configurations and software tools installed.
For further details on the cluster and how to use it, please see https://ucsf-ti.github.io/tipcc-web/.