---
tags:
- time-series-forecasting
- cloud-computing
- timesfm
- resource-prediction
---
# 🌩️ Cloud-Pre (500M)

**Cloud-Pre** is a specialized time-series foundation model designed for predicting cloud environment resource usage (CPU, RAM, Network). 

It is fine-tuned based on Google's highly advanced `google/timesfm-2.0-500m-pytorch`.

## 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

## How to find the training code?
The complete open-source training pipeline and data engineering scripts can be found on my GitHub Repository.