If you want a platform where users can own and control their data and where AI models can be developed collaboratively in a decentralized environment, Ocean is a top contender. Ocean has a well-developed mechanism for monetizing AI models and data through tokenized data and AI services. It uses Data NFTs for customizable access controls and Datatokens for token-based access permissions, which means data can be protected. And Ocean supports decentralized data marketplaces and AI dApps, so it's a good choice for decentralized data management and collaboration.
Another good choice is AIxBlock, an on-chain platform for decentralized supercomputing to run AI work. AIxBlock lets developers build, deploy and monitor AI models and do so at a fraction of the cost of traditional computing. Its peer-to-peer decentralized compute marketplace and tools like Jupyter Notebook and Docker make it a good foundation for AI development. The platform's consensus-driven live model validation means high-quality AI data is ensured, and the decentralized and secure nature of the platform is reinforced.
If you want to build private decentralized applications (dApps) with strong smart privacy, Oasis is a scalable and secure option. Oasis' modular design separates consensus and compute layers for high throughput and low gas fees. It comes with the Oasis Sapphire, the first production-ready confidential Ethereum Virtual Machine, which means privacy settings can be set anywhere on the spectrum from fully private to fully public. It's a good foundation for decentralized AI, DeFi and other use cases that need secure and private computing.
Vana also offers a decentralized network that puts data and AI model control in users' hands. Vana is designed to break down data silos with its API that spans platforms, personal servers for storing data and models, and shared ownership through data and model DAOs. It's a permissionless system that anyone can use, shifting the benefits of AI development from centralized platforms to users, and that can mean more accurate and useful AI models through collective ownership.