# Introduction

Practical tutorials for developers building on Clore.ai's decentralized GPU marketplace.

## What's Inside

This cookbook contains **40+ practical tutorials** with real, working code examples. No fluff — just actionable recipes for:

* 🚀 **Getting Started** — Rent your first GPU in 5 minutes
* 🧠 **Machine Learning** — Train models, run distributed workloads
* ⚡ **Inference & Deployment** — Serve models at scale
* 📊 **Data Processing** — GPU-accelerated pipelines
* 🔧 **DevOps & Automation** — CI/CD, schedulers, monitoring
* 🎯 **Advanced Use Cases** — Bots, dashboards, multi-cloud

## Quick Start

```python
import requests

API_KEY = "YOUR_API_KEY"
headers = {"auth": API_KEY}

# Find available RTX 4090 servers
response = requests.get("https://api.clore.ai/v1/marketplace", headers=headers)
servers = response.json()["servers"]

available = [s for s in servers if "RTX 4090" in str(s.get("gpu_array", [])) and not s["rented"]]
print(f"Found {len(available)} available RTX 4090 servers")
```

## Why Clore.ai?

| Feature            | Clore.ai       | AWS/GCP      |
| ------------------ | -------------- | ------------ |
| RTX 4090 (hourly)  | \~$0.20-0.40   | N/A          |
| A100 80GB (hourly) | \~$1.50-2.50   | \~$4-6       |
| Minimum commitment | 1 minute       | 1 hour       |
| Spot pricing       | Yes (2.5% fee) | Yes (varies) |
| Setup time         | < 2 minutes    | 5-15 minutes |

## Prerequisites

* Clore.ai account with API key
* Python 3.10+ (most examples)
* Basic Docker knowledge
* SSH client

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*Built with 🔥 by the Clore.ai team*