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Copies the configurations from metrics.green-coding.io (#142)
* Copies the configurations from metrics.green-coding.io
* Removed all configuration info and linked to cluster page; Renamed High Performance to High Performance Benchmarking to reflect naming scheme
* Aligned names with benchmarking / GUI naming
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Co-authored-by: Arne Tarara <arne@datafuse.de>
Copy file name to clipboardExpand all lines: content/en/docs/measuring/measurement-cluster.md
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Our Measurement Cluster runs on [NOP Linux changes →]({{< relref "nop-linux" >}}) and is the driver behind our [Hosted Service]({{< relref "measuring-service" >}}).
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We have the following machines available for running measurements in our cluster:
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We have the following machines available for running measurements in our cluster. The **Machine ID**
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is the number shown in the *ID* column of our
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[Cluster Status page](https://metrics.green-coding.io/cluster-status.html) and is the identifier used
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in the API and when a job is dispatched to a specific machine. The live availability, queue state and
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detailed machine configuration of every machine can always be looked up there.
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-**CO2 Profiling (DVFS ON, TB ON, HT ON) - Esprimo P956**
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Machines marked **[PREMIUM]** are only available in our paid plans.
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-**Machine ID 7 — CO2 Profiling - Esprimo P956**
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+ Use Case: For profiling of a software to get a value for an off-the-shelf Ubuntu system with default configuration
+ Metrics Provider for Machine Power: [MCP39F511N]({{< relref "metric-providers/psu-energy-ac-mcp-machine" >}})
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+ Special: **Blue Angel compatible** for Server applications
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+ ⚙️ Detailed machine specs and configuration like CPU Cores, Memory, TurboBoost etc. are always up to date on the (ℹ︎) icon in the [Cluster Machine Listing](https://metrics.green-coding.io/cluster-status.html)
+[Sample measurement with machine specs](https://metrics.green-coding.io/stats.html?id=9784422b-f4c6-42f3-addd-9e4c0833da74)
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+ Metrics Provider for Machine Power: [MCP39F511N]({{< relref "metric-providers/psu-energy-ac-mcp-machine" >}})
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+ Special: **Blue Angel compatible** for Client-Server and Server applications
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+ This machine replaces the former *CO2 Benchmarking* machine (Machine ID 5), see [Old Machines](#old-machines)
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+ ⚙️ Detailed machine specs and configuration like CPU Cores, Memory, TurboBoost etc. are always up to date on the (ℹ︎) icon in the [Cluster Machine Listing](https://metrics.green-coding.io/cluster-status.html)
-**Machine ID 6 — Micro Benchmarking - TX1330 M2[PREMIUM]**
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+ Use Case: For micro benchmarking of a software where configuration is tuned for reproducability. Reporters are set to 2 ms sampling_rate and limited to RAPL CPU / Memory as well as network I/O per cgroup
+[Sample measurement with machine specs](https://metrics.green-coding.io/stats.html?id=262f1df0-ac6c-4e74-8d08-9c13c0b25293)
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+ Metrics Provider for Machine Power: None
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+ ⚙️ Detailed machine specs and configuration like CPU Cores, Memory, TurboBoost etc. are always up to date on the (ℹ︎) icon in the [Cluster Machine Listing](https://metrics.green-coding.io/cluster-status.html)
+ ⚙️ Detailed machine specs and configuration like CPU Cores, Memory, TurboBoost etc. are always up to date on the (ℹ︎) icon in the [Cluster Machine Listing](https://metrics.green-coding.io/cluster-status.html)
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---
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-**Machine ID 15 — GUI High Performance Benchmarking - TX1330 M4 [PREMIUM]**
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+ Use Case: For benchmarking GUI / Desktop software that needs more cores, a higher clock rate or more memory than the TX1330 M3 and uses a virtual X window
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+ Vendor: Fujitsu TX1330 M4
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+ OS: Ubuntu 24.04 without active window manager but active X-Libraries for virtual / containerized X-Windows
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+ Type: Single-Tenant Server
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+ CPU: Intel(R) Xeon(R) E-2176G CPU @ 3.70GHz
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+ Metrics Provider for Machine Power: [MCP39F511N]({{< relref "metric-providers/psu-energy-ac-mcp-machine" >}})
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+ ⚙️ Detailed machine specs and configuration like CPU Cores, Memory, TurboBoost etc. are always up to date on the (ℹ︎) icon in the [Cluster Machine Listing](https://metrics.green-coding.io/cluster-status.html)
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-**ML/AI Profiling (DVFS ON, TB ON, HT OFF) - GTX-1080 - [PREMIUM]**
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-**Machine ID 11 — ML/AI Benchmarking - GTX-1080 - [PREMIUM]**
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+ Use Case: For GPU measurements and AI training measurements
+ Special: **Blue Angel compatible** for Server applications
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+ ⚙️ Detailed machine specs and configuration like CPU Cores, Memory, TurboBoost etc. are always up to date on the (ℹ︎) icon in the [Cluster Machine Listing](https://metrics.green-coding.io/cluster-status.html)
+ Metrics Provider for Machine Power: [MCP39F511N]({{< relref "metric-providers/psu-energy-ac-mcp-machine" >}})
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+ ⚙️ Detailed machine specs and configuration like CPU Cores, Memory, TurboBoost etc. are always up to date on the (ℹ︎) icon in the [Cluster Machine Listing](https://metrics.green-coding.io/cluster-status.html)
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### Old Machines
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These machines are no longer available for measurements. They are listed here because older runs in our
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database still reference them.
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-**Machine ID 5 — CO2 Benchmarking (DVFS OFF, TB OFF, HT OFF) - TX1330 M2 - (Phased out Late 2025)**
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+ Use Case: For benchmarking of a software where configuration is tuned for reproducability
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