"IO.net Unveils IO Intelligence: Empowering Developers with Decentralized AI"

IO.net, a decentralized physical infrastructure network (DePIN), has launched IO Intelligence, a generative intelligence platform designed to empower developers to build innovative AI solutions on its decentralized GPU clusters. The platform harnesses the power of 25 leading open-source AI models, including DeepSeek, Meta Llama, and Mistral, to simplify the process of building on-chain AI applications.

IO Intelligence offers developers a wide range of pre-trained and custom open-source models, reducing the need for extensive training and optimizations. The platform provides powerful and readily accessible tools, such as APIs, a web interface for chatting with AI models, and a Python library, to streamline workflows and enable developers to implement advanced AI features like natural language processing (NLP), autonomous decision-making, and AI-assisted code generation directly on IO.net's platform.

The platform's features include a Python framework for developing AI agents, RESTful APIs for seamless integration, and services that can be used programmatically or through a user-friendly website. IO Intelligence also supports up to five premade AI agents in one app, capable of performing tasks such as sentiment analysis and content moderation within an app ecosystem. Additionally, the platform abstracts away the complexities of setting up AI pipelines, allowing developers to focus on creating innovative solutions.

IO.net has a full roadmap for IO Intelligence, with plans to steadily release new agents and tools as the platform's services and user base expand in the coming months. Developers can now access IO Intelligence on the IO Intelligence website and explore AI models and agents, integrating them into applications using IO.net's RESTful APIs.

IO.net is a DePIN that deploys and manages on-demand, decentralized GPU clusters from geo-distributed sources. Its network consists of thousands of GPUs specifically architected for low latency, compute-intensive use cases like AI/ML operations and cloud gaming. IO.net aims to democratize access to GPU compute capacity while reducing costs, expediting lead times, and expanding options for engineers and businesses. Developers can access compute capacity at a fraction of the cost or become a capacity supplier on the IO.net network.