AIxBlock

AIxBlock is an on-chain platform that supports AI projects with a decentralized supercomputer. It lets developers create, deploy and monitor AI models while keeping costs down through blockchain technology.

AIxBlock cuts AI development costs by offering a peer-to-peer (P2P) decentralized compute marketplace. That means users can cut compute costs by up to 90% by tapping into a pool of computing resources around the world without transaction fees. The platform also offers a decentralized marketplace for AI and ML models so they can be easily integrated into data pipelines.

AIxBlock's features include:

• Data Engine: Collect, curate and label data with a multimodal-powered data crawler and auto annotation tools for images, text, audio and video.
• MLOps Platform: Supports auto and distributed training, on-chain consensus-driven live model validation and integration with tools like Jupyter Notebook, Docker and Kubernetes.
• Decentralized Supercomputing: Lower compute costs by tapping into a global pool of computing resources.
• Consensus Mechanism: Improve AI data quality with blockchain consensus.
• Smooth, Secure & Transparent Payment Process: Track, execute and record transactions on the blockchain.

AIxBlock is good for several groups of people:

• AI Builders: Cut compute costs by up to 90%, create and deploy AI models more easily and have a fully managed self-hosted option.
• Compute Suppliers: Make up to 15 times more money by renting out computes to the global AI community.
• Freelancers: Increase earnings by participating in AI projects like data collection, transcription, labeling and validation.

Pricing is based on project budgets, with costs starting at a few cents per annotation. The platform also offers a monthly subscription for data crawling services. AI/ML model marketplace pricing is to be determined.

AIxBlock is geared for AI developers, compute suppliers and freelancers. The decentralized design is designed to make AI projects more accessible and economical. Check the AIxBlock website for more details.

Published on June 14, 2024