#opg $OPG Some aspects of OpenGradient that have caught my attention while investigating it.

Centralized infrastructure is used by almost all current AI platforms. However, OpenGradient decided to build a decentralized AI network where to host, execute, and verify AI models.

What are the peculiarities that grabbed my attention?

🔹 Open Intelligence is open-source and open to access, unlike proprietary solutions.

🔹 Custom AI models can be deployed and scaled using distributed infrastructure.

🔹 Inference will be executed using a decentralized network.

🔹 Various AI applications, including language models and computer vision, are supported.

🔹 Scalability will happen due to the increased number of nodes, instead of several large-scale servers.

🔹 AI inference output can be verified, thus, ensuring additional trust and accuracy.

🔹 Computing resources will be provided by node operators.

Combination of AI, decentralization, transparency, and scalability in one network makes this project notable.

As the adoption of AI technology increases across the globe, the infrastructure becomes just as important as models. 🚀

What would you say is the key challenge faced by decentralized AI now?@OpenGradient $OPG