🔎Use Cases

1. Decentralization: Eliminates reliance on centralized entities, ensuring equitable and fair access for all participants.

2. Scalability: Dynamic resource allocation enables seamless and efficient handling of AI workloads at any scale.

3. Transparency: Blockchain technology ensures verifiable, tamper-proof processes, fostering trust and accountability.

4. Security: A decentralized architecture mitigates risks of tampering, unauthorized access, and single points of failure.

5. Inclusivity: Democratizes AI development by providing tools and opportunities for diverse communities to innovate and collaborate.