# IPFS Integration

Cortensor leverages the **InterPlanetary File System (IPFS)** to enable decentralized, content-addressable storage and distribution of data. This integration supports Cortensor’s core mission to deliver scalable, verifiable, and censorship-resistant AI services without relying on centralized infrastructure.

## Overview

IPFS is a peer-to-peer distributed file system that allows files to be stored and accessed using content hashes rather than traditional URLs. In Cortensor, IPFS plays a crucial role in ensuring integrity, traceability, and decentralization across various stages of the AI inference workflow.

## Key Use Cases

#### 1. Inference Input & Output Storage

When users submit large input files (e.g., datasets, documents, media) or receive output files from inference tasks, Cortensor stores these files on IPFS.

* Ensures tamper-proof and immutable storage.
* Files are retrieved using content hashes, enabling verifiable access.
* Keeps heavy data off-chain while maintaining transparency and accessibility.

#### 2. Synthetic Dataset Generation & Distribution

Cortensor’s synthetic data engine generates datasets used for training and fine-tuning AI models. These are distributed using IPFS to ensure open, reproducible access.

* Datasets are versioned, content-addressed, and publicly auditable.
* Enables decentralized data sharing for AI researchers and developers.
* Reduces reliance on centralized hosting services.

#### 3. Cross-Node Task Data Sharing

In distributed AI inference, miners require access to task-related data such as prompts, configurations, and session metadata. Cortensor uses IPFS to:

* Provide reliable access to shared data across geographically distributed nodes.
* Facilitate coordination between session queue, session module, and miners.
* Eliminate bottlenecks caused by centralized APIs.

#### 4. Oracle Proof & Audit Trail

Cortensor’s oracle and validation modules may reference inference results or proof artifacts stored on IPFS:

* Content hashes are written to the blockchain for lightweight verification.
* Enables decentralized audit trails for AI outputs and session behavior.

## Benefits of Using IPFS

| Feature                   | Benefit                                                                   |
| ------------------------- | ------------------------------------------------------------------------- |
| **Decentralization**      | Eliminates reliance on centralized storage providers.                     |
| **Content Addressing**    | Ensures integrity and immutability of input/output data.                  |
| **Scalability**           | Offloads storage-heavy operations from on-chain systems.                  |
| **Interoperability**      | Easily integrated with Web3 clients, smart contracts, and developer SDKs. |
| **Censorship Resistance** | Promotes open and resilient AI infrastructure.                            |

## Summary

The integration of IPFS within Cortensor reinforces the network’s commitment to openness, trust, and verifiability. Whether serving input/output for inference, sharing synthetic datasets, or providing audit trails for oracle validation, IPFS plays a foundational role in supporting Cortensor's decentralized AI ecosystem.