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.