Question: I'm looking for a scalable and secure solution for developing decentralized AI models that keep data private and secure.

If you're looking for a scalable and secure way to build decentralized AI models that keep data private and secure, Oasis is one of the strongest contenders. Oasis is a platform that focuses on smart privacy, which means developers can create private decentralized applications (dApps) with its production-ready confidential Ethereum Virtual Machine (EVM). The modular design ensures high throughput and interoperability across multiple blockchain networks, making it a good fit for use cases like decentralized AI, DeFi, gaming and more.

Another strong contender is Ocean, which offers a framework for monetizing AI models and data while keeping privacy intact. Ocean uses Data NFTs with customizable access controls and encryption, and Datatokens to create token-based access permissions to data. With features like self-custody, storage encryption, and Compute-to-Data for performing computations on data without moving it, Ocean enables the development of token-gated AI dApps and decentralized data marketplaces.

If you're looking for a decentralized supercomputer geared for AI work, take a look at AIxBlock. The platform lets developers create, deploy and monitor AI models with blockchain-based peer-to-peer compute marketplaces, dramatically reducing compute costs. AIxBlock includes tools like Jupyter Notebook, Docker and Kubernetes, and offers a secure, transparent payment mechanism, and blockchain consensus ensures better AI data quality.

Last is Heurist, a decentralized Layer 2 protocol for hosting and inferring AI models. Heurist's zero-knowledge (ZK) Layer-2 network offers both privacy and low fees, and includes features like a decentralized registry for open-source AI models and an AI dAPP Store for model monetization. It's geared for developers and companies that want to host AI models in a decentralized, serverless environment.