An enterprise-grade implementation for anchoring AI training datasets and model weights onto the Shelby Global Object Storage layer with cryptographic verification on Aptos.
- 70% Egress Reduction: Slash your cloud bill by moving away from legacy S3 providers.
- Single Global Namespace: Write once, read anywhere via DoubleZero’s dedicated fiber backbone.
- Immutable Provenance: Every asset is anchored on-chain, providing a transparent audit trail for AI model lineage.
- High Performance: Designed specifically for the high-velocity data needs of modern AI/ML clusters.
- Storage: Shelby Global Object Storage
- Blockchain: Aptos (Testnet)
- Runtime: Node.js (JavaScript)
- Clone & Install:
git clone [https://github.com/anhnguyenhoang/shelby-aptos-provenance.git](https://github.com/anhnguyenhoang/shelby-aptos-provenance.git) cd shelby-aptos-provenance npm install
Create a .env file based on .env.example:
SHELBY_API_KEY=your_key SHELBY_SECRET=your_secret
Execution:
Bash npm start
📄 License Distributed under the MIT License. See LICENSE for more information.
Built by Nguyễn Hoàng Anh during the Shelby Early Access program.