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Added new ML-AI Machine to cluster description
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content/en/docs/measuring/measurement-cluster.md

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@@ -85,7 +85,26 @@ We have the following machines available for running measurements in our cluster
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- **Palit GPU**
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- **ML/AI Profiling (DVFS ON, TB ON, HT OFF) - GTX-1080 - [PREMIUM]**
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+ Use Case: For GPU measurements and AI training measurements
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+ OS: Ubuntu 22.04 ([NOP Linux](https://www.green-coding.io/blog/nop-linux/))
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+ Type: Desktop-PC
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+ CPU: Intel(R) Core(TM) i5-9600K CPU @ 3.70GHz
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+ Cores: 6
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+ Threads: 6
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+ Hyper-Threading: Off
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+ Turbo Boost: On
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+ Memory: 32 GB
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+ Graphics: GeForce GTX 1080
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* Installed *CUDA* version: 12.2
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* *NVIDIA* kernel driver version 535.230.02
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+ Metrics Provider for Machine Power: [MCP39F511N]({{< relref "metric-providers/psu-energy-ac-mcp-machine" >}}) & [IPMI]({{< relref "metric-providers/psu-energy-ac-ipmi-machine" >}})
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### Old Machines
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- **Palit GPU - (Phased out Early 2025)**
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+ Use Case: For GPU measurements and AI training measurements
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+ OS: Ubuntu 22.04 ([NOP Linux](https://www.green-coding.io/blog/nop-linux/))
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+ Type: Desktop-PC
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- **Quanta Leopard-DDR3 - Currently unavailable**
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- **Quanta Leopard-DDR3 - (Phased out Early 2025)**
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+ Use Case: Heavy parallelized workloads / HPC
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+ Type: 48-Thread Multi-Tenant Server
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+ OS: Ubuntu 22.04 (default)

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