Openfabric AI
![]() | |
Original author(s) | Openfabric Network |
---|---|
Developer(s) | Community-driven |
Initial release | 2019 |
Written in | Multi-language support |
Operating system | Cross-platform |
Type | Decentralized AI Protocol |
License | Open Source |
Website | openfabric |
Openfabric AI is a decentralized protocol designed to make Artificial Intelligence (AI) more accessible by lowering infrastructure requirements and simplifying the technical processes needed to use AI algorithms.[1]
Openfabric AI was founded in 2019 by Andrei Tara. And it is currently stationing in it's headquarters in Singapore.
Purpose
[change | change source]Openfabric AI aims to create a platform where AI innovation can happen more quickly. It provides an ecosystem for:
- AI developers: Tools to deploy algorithms efficiently.
- Data scientists: A way to compile and share datasets.
- Infrastructure providers: Opportunities to offer computational resources for running AI algorithms.
Openfabric functions as a decentralized marketplace where participants are rewarded for contributing intellectual property or hardware resources.[2]
Openfabric AI has been recognized for its potential to revolutionize AI and Web3 technologies.[3][4]
Research
[change | change source]The core concepts behind Openfabric AI have been peer-reviewed in academic publications.[5] The design and functionality of the platform are further detailed in the Openfabric White-paper.
The project has also garnered attention for its ability to integrate decentralized AI with modern infrastructure and financial systems.[6][7]
Design
[change | change source]The Openfabric protocol is based on two main components:
1. Decentralized Operating System (DOS): A blockchain-powered system that ensures secure and scalable operations for the ecosystem. It coordinates services using a trusted peer-to-peer (P2P) network.[8]
2. Trusted Execution Environment (TEE): A secure execution space that uses Intel's Software Guard Extensions (SGX) to protect data and code, even in cases where the operating system or hardware may be compromised.[9]
Decentralized Operating System (DOS)
[change | change source]The DOS coordinates resources and ensures secure governance through a dynamic consensus mechanism. This enables parallel decision-making across the network and supports the scalability of the platform.[10]
Trusted Execution Environment (TEE)
[change | change source]The TEE ensures security through the use of SGX enclaves. This mechanism protects application data and code by encrypting memory content and verifying the integrity of the enclave.[11][12][13]
Stakeholders
[change | change source]The Openfabric AI ecosystem supports four key groups:
- AI innovators: Deploy algorithms and build on others' work.
- Data providers: Share datasets and receive rewards.[14]
- Infrastructure providers: Offer computational resources for rent.
- Service consumers: Combine data and algorithms for insights using the platform.
Recognition
[change | change source]Openfabric AI has been featured in prominent publications for its contributions to AI and cryptocurrency infrastructure.[15][16]
It has also been included in discussions about top-performing cryptocurrencies and innovative AI projects.[17][18]
References
[change | change source]- ↑ Tara, Andrei; Taban, Nicolae; Turesson, Hjalmar (2022). "Performance Analysis of an Ontology Model Enabling Interoperability of Artificial Intelligence Agents". Artificial Intelligence Trends in Systems. Springer International Publishing: 395–406. doi:10.1007/978-3-031-09076-9_35.
- ↑ Tara, Andrei; Taban, Nicolae; Vasiu, Cristina (2021). "A Decentralized Ontology Versioning Model Designed for Interoperability and Multi-organizational Data Exchange". Artificial Intelligence in Intelligent Systems. Springer International Publishing: 617–628. doi:10.1007/978-3-030-77445-5_56.
- ↑ "Openfabric Building the Internet". Retrieved 2024-08-12.
- ↑ "Edu3Labs partners with Openfabric to advance Web3 learning". Retrieved 2024-08-12.
- ↑ Tara, Andrei; Ivkushkin, Kirill; Butean, Alexandru; Turesson, Hjalmar (2019). "The Evolution of Blockchain Virtual Machine Architecture Towards an Enterprise Usage Perspective". Software Engineering Methods in Intelligent Algorithms. Springer International Publishing: 370–379. doi:10.1007/978-3-030-19807-7_36.
- ↑ "Openfabric AI emerges as the leader in decentralized AI technology". Retrieved 2024-08-12.
- ↑ "New Partnership: Genesis Cloud Partners with Openfabric". Retrieved 2024-08-12.
- ↑ A. S. Tanenbaum and R. Van Renesse, “Distributed operating systems,” ACM Comput. Surv., vol. 17, no. 4, p. 419–470, Dec. 1985. [Online]. Available: https://doi.org/10.1145/6041.6074
- ↑ S. Shinde, D. Le Tien, S. Tople, and P. Saxena, “Panoply: Low-tcb linux applications with sgx enclaves.” in NDSS, 2017.
- ↑ F. Baiardi and M. Vanneschi, “Design of highly decentralized operating systems,” in Distributed Operating Systems, Y. Paker, J.-P. Banatre, and M. Bozyig it, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 1987, pp. 113–145.
- ↑ A. Baumann, M. Peinado, and G. Hunt, “Shielding applications from an untrusted cloud with haven,” ACM Transactions on Computer Systems (TOCS), vol. 33, no. 3, pp. 1–26, 2015.
- ↑ Tara, Andrei; Turesson, Hjalmar K; Natea, Nicolae; Kim, Henry M (2023). "An Evaluation of Storage Alternatives for Service Interfaces Supporting a Decentralized AI Marketplace". IEEE Access. 11. IEEE: 116919–116931.
- ↑ "Openfabric Architecture Overview". Retrieved 2024-08-12.
- ↑ "DataUnion Foundation Partners with Openfabric". Retrieved 2024-08-12.
- ↑ "Unveiling a revolutionary AI ecosystem in world premiere". Retrieved 2024-08-12.
- ↑ "Openfabric provides the best AI infrastructure". Retrieved 2024-08-12.
- ↑ "7 AI Cryptos to Turn $10,000 into $1 Million". Retrieved 2024-08-12.
- ↑ "Cryptocurrency Analytics Insight". Retrieved 2024-08-12.