If you're looking for a decentralized AI platform where anyone can use AI models without permission, you might be interested in Arbius. It's an open-source peer-to-peer machine learning network that creates AI models at market rates and sells tokenized models with base fees for invocations. The platform is controlled by a DAO and incentivizes users to participate by paying for AI generation, earning fees through delegation, staking, and validating the network.
Another interesting option is enqAI, which offers uncensorable and decentralized AI for image and audio generation and large language models. By using a decentralized GPU network, enqAI offers bias-free and agenda-free AI capabilities. Users can participate as GPU providers, earning tokens by running enqAI nodes and fulfilling inferences. The platform is designed to offer unrestricted access to AI tools, making it useful for applications like financial and medical data analysis.
AIxBlock offers a decentralized supercomputer powered AI work, allowing developers to build, deploy and monitor AI models while dramatically reducing compute costs. The platform includes a peer-to-peer decentralized compute marketplace and support for tools like Jupyter Notebook, Docker and Kubernetes. It also includes an MLOps platform for distributed training and on-chain consensus-driven live model validation, which ensures data quality and transparency.
Lastly, NetMind Power is a community-centric platform that allows users to contribute their GPUs to earn rewards in NMT crypto tokens. It offers shared computing and AI model development capabilities, including no-code fine-tuning and distributed training. The platform is designed to be user-friendly with free credits to get started and a dedicated forum for feedback and technical support, making it useful for a broad range of users.