Difference between revisions of "Cluster:Compute nodes"

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(List of compute nodes)
(List of compute nodes)
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! scope="col"| IP
 
! scope="col"| IP
 
! scope="col"| Access
 
! scope="col"| Access
 +
! scope="col"| Platform
 
! scope="col"| GPUs
 
! scope="col"| GPUs
 
|-
 
|-
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| 134.34.226.230
 
| 134.34.226.230
 
| exc-cb
 
| exc-cb
 +
| nVidia DGX-2
 
| 16 x V100
 
| 16 x V100
 
|-
 
|-
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| 134.34.226.30
 
| 134.34.226.30
 
| trr161, inf
 
| trr161, inf
 +
| Dual Xeon Rack Server
 
| 4 x Titan RTX
 
| 4 x Titan RTX
 
|-
 
|-
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| 134.34.226.tba
 
| 134.34.226.tba
 
| cvia
 
| cvia
 +
| Core i9 Desktop
 
| 4 x GTX 1080 Ti
 
| 4 x GTX 1080 Ti
 
|-
 
|-
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| 134.34.226.tba
 
| 134.34.226.tba
 
| cvia
 
| cvia
 +
| Core i9 Desktop
 
| 4 x Titan Xp
 
| 4 x Titan Xp
 
|-
 
|-
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| 134.34.226.tba
 
| 134.34.226.tba
 
| cvia
 
| cvia
 +
| Core i9 Desktop
 
| 4 x Titan Xp
 
| 4 x Titan Xp
 
|-
 
|-

Revision as of 20:21, 23 June 2019

List of compute nodes

The following compute nodes are currently part of the cluster:

CCU name INF name IP Access Platform GPUs
Vecna ccu-node1 134.34.226.230 exc-cb nVidia DGX-2 16 x V100
Glasya ccu-node2 134.34.226.30 trr161, inf Dual Xeon Rack Server 4 x Titan RTX
Demogorgon (in prep) ccu-node3 134.34.226.tba cvia Core i9 Desktop 4 x GTX 1080 Ti
Lilith (in prep) ccu-node4 134.34.226.tba cvia Core i9 Desktop 4 x Titan Xp
Asmodeus (in prep) ccu-node5 134.34.226.tba cvia Core i9 Desktop 4 x Titan Xp


The CCU name is the internal name used in the Kubernetes cluster, as well as the configured hostname of the node. The INF name is the name within the network of the CS department, which means you can refer to the node as "inf-name.inf.uni-konstanz.de" in your browser (it is planned that "ccu-name.ccu.uni-konstanz.de" becomes an alias, but is not configured yet). Alternatively, you can refer to the node by its IP from the outside world.

In the column "Access" you can find which Kubernetes user groups can access this node.

Group Desciption
exc-cb Centre for the Advanced Study of Collective Behaviour
trr161 SFB Transregio 161 "Quantitative Methods for Visual Computing"
inf Department of Computer Science
cvia Computer Vision and Image Analysis Group