Difference between revisions of "Cluster:Compute nodes"
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m (→List of compute nodes) |
m (→List of compute nodes) |
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! scope="col"| CCU name | ! scope="col"| CCU name | ||
| − | |||
| − | |||
! scope="col"| Access | ! scope="col"| Access | ||
! scope="col"| Platform | ! scope="col"| Platform | ||
| Line 13: | Line 11: | ||
|- | |- | ||
! scope="row"| Lolth | ! scope="row"| Lolth | ||
| − | |||
| − | |||
| all CCU users | | all CCU users | ||
| Dual Xeon Rack | | Dual Xeon Rack | ||
| Line 20: | Line 16: | ||
|- | |- | ||
! scope="row"| Vecna | ! scope="row"| Vecna | ||
| − | |||
| − | |||
| exc-cb, inf | | exc-cb, inf | ||
| nVidia DGX-2 | | nVidia DGX-2 | ||
| Line 27: | Line 21: | ||
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! scope="row"| Glasya | ! scope="row"| Glasya | ||
| − | |||
| − | |||
| trr161 | | trr161 | ||
| Dual Xeon Rack | | Dual Xeon Rack | ||
| Line 34: | Line 26: | ||
|- | |- | ||
! scope="row"| Belial | ! scope="row"| Belial | ||
| − | |||
| − | |||
| exc-cb | | exc-cb | ||
| Supermicro | | Supermicro | ||
| Line 41: | Line 31: | ||
|- | |- | ||
! scope="row"| Fierna | ! scope="row"| Fierna | ||
| − | |||
| − | |||
| exc-cb | | exc-cb | ||
| Supermicro | | Supermicro | ||
| Line 48: | Line 36: | ||
|- | |- | ||
! scope="row"| Lilith | ! scope="row"| Lilith | ||
| − | |||
| − | |||
| cvia | | cvia | ||
| Core i9 Rack | | Core i9 Rack | ||
| Line 55: | Line 41: | ||
|- | |- | ||
! scope="row"| Zariel | ! scope="row"| Zariel | ||
| − | |||
| − | |||
| trr161 | | trr161 | ||
| nVidia DGX A100 | | nVidia DGX A100 | ||
| 8 x A100 @ 40 GB | | 8 x A100 @ 40 GB | ||
|- | |- | ||
| − | ! scope="row"| | + | ! scope="row"| Asmodeus |
| − | |||
| − | |||
| cvia | | cvia | ||
| − | | | + | | Supermicro |
| − | | 4 x | + | | 4 x A100 HGX 320 GB, subdivided in 16 GPUs @ 20 GB |
|- | |- | ||
| − | ! scope="row"| | + | ! scope="row"| Demogorgon |
| − | | | + | | exc-cb |
| − | | | + | | Delta |
| − | | | + | | 8 x A40 @ 40 GB |
| − | |||
| − | |||
|- | |- | ||
|} | |} | ||
| − | The CCU name is the internal name used in the Kubernetes cluster, as well as the configured hostname of the node. | + | The CCU name is the internal name used in the Kubernetes cluster, as well as the configured hostname of the node. Nodes are not accessible from the outside world, you have to access the cluster via kubectl through the API-server. |
In the column "Access" you can find which Kubernetes user groups can access this node. | In the column "Access" you can find which Kubernetes user groups can access this node. | ||
Revision as of 17:18, 27 November 2021
List of compute nodes
The following nodes are currently part of the cluster. Note that the master node is CPU only and not used for computations, as it hosts all CCU infrastructure (among a few other things).
| CCU name | Access | Platform | GPUs |
|---|---|---|---|
| Lolth | all CCU users | Dual Xeon Rack | -- |
| Vecna | exc-cb, inf | nVidia DGX-2 | 16 x V100 @ 32 GB |
| Glasya | trr161 | Dual Xeon Rack | 4 x Titan RTX @ 24 GB |
| Belial | exc-cb | Supermicro | 8 x Quadro RTX 6000 |
| Fierna | exc-cb | Supermicro | 8 x Quadro RTX 6000 |
| Lilith | cvia | Core i9 Rack | 4 x Titan Xp @ 12 GB |
| Zariel | trr161 | nVidia DGX A100 | 8 x A100 @ 40 GB |
| Asmodeus | cvia | Supermicro | 4 x A100 HGX 320 GB, subdivided in 16 GPUs @ 20 GB |
| Demogorgon | exc-cb | Delta | 8 x A40 @ 40 GB |
The CCU name is the internal name used in the Kubernetes cluster, as well as the configured hostname of the node. Nodes are not accessible from the outside world, you have to access the cluster via kubectl through the API-server.
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 |
