| --- |
| tags: |
| - time-series-forecasting |
| - cloud-computing |
| - timesfm |
| - resource-prediction |
| --- |
| # 🌩️ Cloud-Pre (500M) |
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| **Cloud-Pre** is a specialized time-series foundation model designed for predicting cloud environment resource usage (CPU, RAM, Network). |
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| It is fine-tuned based on Google's highly advanced `google/timesfm-2.0-500m-pytorch`. |
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| ## Model Details |
| - **Architecture:** Decoder-Only Transformer (TimesFM 2.0 Base) |
| - **Parameters:** 500 Million |
| - **Fine-tuning Objective:** Cloud CPU/Resource peak and anomaly forecasting to aid with Predictive Auto-scaling. |
| - **Developer:** Assem Sabry |
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| ## How to find the training code? |
| The complete open-source training pipeline and data engineering scripts can be found on my GitHub Repository. |
