> For the complete documentation index, see [llms.txt](https://docs.grafilab.io/home/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.grafilab.io/home/whitepaper/grafi-cloud/core-features.md).

# Core Features

**Supply GPU with GRAFI Agent**

* For Contributors: Share idle GPU with the Grafi Cloud network and earn rewards.
* Key Features:
  * Cross-Platform Support: Available for both Windows and Ubuntu operating systems, ensuring compatibility with most GPU setups.
  * Automated Resource Management: Grafi Agent handles GPU resource allocation, task scheduling, and data exchange without requiring manual intervention.
  * Secure Integration: Uses Web3 authentication and smart contracts to ensure secure GPU contribution and revenue sharing.
  * Earnings and Incentives: Contributors receive revenue based on GPU performance, uptime, and availability, with an additional $GRAFI token incentive for DePIN contributors.

<br>

**Rent GPU Power with Rent & Run**

* For Renters: Access a wide array of GPU resources tailored for tasks like AI model training, gaming, rendering, and data analytics.
* Key Features:
  * Flexible GPU Options: Choose from centralized GPUs in data centers (CePIN) or decentralized GPUs contributed by individuals (DePIN).
  * Pre-Configured Environments: Renters can select from Docker templates preloaded with popular AI frameworks like TensorFlow, PyTorch, or OpenCV for faster setup.
  * Custom Configurations: Users can upload and run custom Docker images for specialized workflows.
  * Real-Time Monitoring: Track GPU performance, task completion status, and resource utilization through a user-friendly dashboard.
  * Transparent Billing: Costs are calculated based on GPU usage time, ensuring clear and predictable pricing.