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hx-nick authored Feb 1, 2024
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⭐ Drop a star to support OptScale ⭐
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# MLOps platform to run ML/AI experiments with optimal performance and cloud cost
# FinOps and MLOps platform to run ML/AI and regular cloud workloads with optimal performance and cost
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<a href="documentation/images/cover-GitHub.png"><img src="documentation/images/cover-GitHub.png" width="60%" align="middle"></a>
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OptScale is an open source MLOps platform that provides experiment tracking, model versioning, ML leaderboards with cloud cost optimization, and infrastructure performance details.
OptScale is an open source FinOps and MLOps platform that provides cloud cost optimization for all types of organizations and MLOps capabilities like experiment tracking, model versioning, ML leaderboards.
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<th>MLOps capabilities</th>
<th>AI infrastructure optimization and instrumentation</th>
<th>FinOps and cloud cost optimization</th>
</tr>
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<ul>
<li>Leaderboards with candidates and qualifications</li>
<li>ML Leaderboards with candidates and qualifications</li>
<li>Dataset and model tracking and versioning</li>
<li>Run metrics and experiment tracker</li>
<li>Hypertuning integrated with Optuna</li>
<li>Training launcher</li>
<li>Model training profiler</li>
<li>ML Model training profiler</li>
</ul>
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|<img src="documentation/images/Datasets-page.png" width="500"> |<img src="documentation/images/Hypertuning-page.png" width="500"> |


| Databricks connection | Recommendations |
| Databricks connection | Cost and performance recommendations |
| :------------------------------------------------------------------------: | :--------------------------------------------------------------: |
|<img src="documentation/images/Databricks-connection-page.png" width="500"> |<img src="documentation/images/Recommendations.png" width="500"> |


| Cost geo map | Power Schedules |
| Cost geo map | VM Power Schedules |
| :------------------------------------------------------------------------: | :--------------------------------------------------------------: |
| <img src="documentation/images/Cost-map.png" width="500"> | <img src="documentation/images/Power-Schedules.png" width="500"> |

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## Getting started

Minimum hardware requirements for OptScale cluster: CPU: 8+ cores, RAM: 16Gb, SSD: 150+ Gb.
Minimum hardware requirements for OptScale cluster: CPU: 8+ cores, RAM: 16Gb, SSD: 150+ Gb.

NVMe SSD is recommended.
**OS Required**: [Ubuntu 20.04](https://releases.ubuntu.com/focal/).
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