IO.net has announced the release of IO Intelligence. This platform harnesses the power of generative AI with 25 leading open-source AI models, including DeepSeek, Meta Llama, and Mistral, to simplify the process of building on-chain AI applications. IO Intelligence is designed to empower developers to build innovative AI solutions on IO.net’s decentralized GPU clusters with powerful and readily accessible tools. These include APIs, a web interface to chat with AI models, and a powerful Python library. Developers get access to a wide range of pre-trained and custom open-source models on a platform with a user-friendly and developer-centric framework. The presence of these models streamlines workflow by reducing the need for extensive training and optimizations. Builders can choose how to implement and manage advanced AI features such as natural language processing (NLP), autonomous decision-making, and AI-assisted code generation, directly on IO.net’s platform. IO Intelligence Features IO Intelligence empowers developers with a wide range of powerful tools and features. These include: A Python framework that lets developers develop their own AI agents. RESTful APIs designed for seamless integration, allowing access to AI models and vector databases with minimal setup. Services that may be used programmatically, and the user-friendly website lets developers manage data, interact with models, and track agent activity conveniently. Low latency and high throughput for real-time applications, with a scalable design that grows with the app Split-execution architecture that runs privacy-sensitive computations locally while delegating intensive tasks to the cloud Support for up to five premade AI agents in one app. These agents can do jobs on their own, like sentiment analysis and content moderation within an app ecosystem. IO Intelligence also abstracts away the complexities of setting up AI pipelines thanks to a modular syntax that lets developers build intelligent agent-based workflows. This allows builders to spend more time creating innovative solutions instead of grappling with the complexities of integrating AI infrastructure. IO.net has a full roadmap and high expectations for IO Intelligence. As the platform’s services and user base expand in the coming months and AI models get smarter, IO.net plans to steadily release new agents and tools into its development framework for developers to integrate into their workflows. IO Intelligence is accessible now on the IO Intelligence website. Developers can explore AI models and agents and integrate them into applications with IO.net’s RESTful APIs. About IO.net IO.net is a decentralized physical infrastructure network (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 ops and cloud gaming. IO.net is designed to democratize access to GPU compute capacity while reducing costs, expediting lead times, and expanding options for engineers and businesses. Access compute capacity for a fraction of the cost or become a capacity supplier at IO.net. Website | Documentation | X | Discord | Telegram | LinkedIn
