Measurement Cluster
Measurement Cluster
Our Measurement Cluster
Our Measurement Cluster runs on NOP Linux and is the driver behind our Hosted Service.
We have the following machines available for running measurements in our cluster:
- Fujitsu ESPRIMO P956
- Ubuntu 22.04 (NOP Linux)
- Single-Tenant Server
- Blue Angel compatible
- CPU: Intel(R) Core(TM) i5-6500 CPU @ 3.20GHz
- Cores: 4
- Threads: 4
- Hyper-Threading: Off
- Turbo Boost: Off
- Memory: 16 GB
- Sample measurement with machine specs
- Metrics Provider for Machine Power: MCP39F511N
- Fujitsu TX1330 M2
- Ubuntu 22.04 (NOP Linux)
- Single-Tenant Server
- CPU: Intel(R) Xeon(R) CPU E3-1240L v5 @ 2.10GHz
- Cores: 4
- Threads: 8
- Hyper-Threading: On
- Turbo Boost: Off
- Memory: 8 GB
- Sample measurement with machine specs
- Metrics Provider for Machine Power: MCP39F511N
- Fujitsu TX1330 M3
- Ubuntu 22.04 (NOP Linux)
- Single-Tenant Server
- CPU: Intel(R) Xeon(R) CPU E3-1220 v6 @ 3.00GHz
- Cores: 4
- Threads: 4
- Hyper-Threading: Off
- Turbo Boost: Off
- Memory: 16 GB
- Sample measurement with machine specs
- Metrics Provider for Machine Power: MCP39F511N
- Fujitsu TX1330 M3
- Ubuntu 22.04 (default)
- Single-Tenant Server
- CPU: Intel(R) Xeon(R) CPU E3-1220 v6 @ 3.00GHz
- Cores: 4
- Threads: 4
- Hyper-Threading: Off
- Turbo Boost: Off
- Memory: 16 GB
- Metrics Provider for Machine Power: MCP39F511N & IPMI
- Palit GPU
- Ubuntu 22.04 (NOP Linux)
- Desktop-PC
- CPU: Intel(R) Core(TM) i7 CPU 870 @ 2.93GHz
- Cores: 4
- Threads: 8
- Hyper-Threading: On
- Turbo Boost: On
- Memory: 12 GB
- Graphics: Palit GF110 (GeForce GTX 570)
- Metrics Provider for Machine Power: MCP39F511N & IPMI
- Quanta Leopard-DDR3 - Currently unavailable
- 48-Thread Multi-Tenant Server
- Ubuntu 22.04 (default)
- SoftAWERE compatible
- CPU: Intel(R) Xeon(R) CPU E5-2678 v3 @ 2.50GHz
- Cores: 4
- Threads: 4
- Hyper-Threading: On
- Turbo Boost: Off
- Memory: 32 GB
- Sample measurement with machine specs
- Metrics Provider for Machine Power: IPMI
Setting up your own measurement cluster
Please refer to the page Installation of a Cluster