- IO.net‘s Intelligence platform shows steady growth since February launch with plans to add RAG, Agentic framework, and workflow builder capabilities.
- Co-Staking Marketplace (Staking V2.0) launched successfully with all staking offers consumed within 47 minutes.
- Technical performance remained solid with over 9.1 million compute hours delivered in February, demonstrating platform scalability.
io.net has reported significant growth across multiple initiatives in its February performance update. The platform’s managed model serving infrastructure, IO Intelligence, has gained steady user adoption since mid-February, while its Co-Staking Marketplace saw immediate market acceptance with all offerings consumed within the first hour of launch.
IO Intelligence, which launched in mid-February, provides fully managed model serving infrastructure designed for community members, developers, and businesses. The platform has established a strong foundation with its V1.0 release, featuring more than 30 hosted models and 8+ agents. According to the update, io.net plans to expand functionality by incorporating Retrieval-Augmented Generation (RAG), Agentic framework, and workflow builder capabilities, positioning IO as a comprehensive stack from compute to model and agent deployment.
This development represents a critical step toward what the platform describes as a "Decentralized AI Supercloud" vision, creating a distributed infrastructure for Artificial Intelligence processing.
On February 19th, the company deployed its Co-Staking Marketplace (Staking V2.0) to production. The launch exceeded expectations with remarkable market response—all staking offers were consumed within just 47 minutes. This marketplace not only broadens access to $IO token staking but also promotes accountability by providing transparent information about device performance and reliability metrics, thereby strengthening the io.net ecosystem.
In another development, the company completed the smart contract audit phase for TNE (Transaction Network Engine) on-chain implementation and has begun backend testing before going live. The update notes that the approach to TNE on-chain, particularly in displaying real-time cashflows, incorporates security elements that represent an industry first.
February’s technical metrics demonstrated continued platform growth, with io.net delivering 9,106,043 cumulative compute hours during the month. This substantial figure indicates both sustained demand for the platform’s services and its commitment to scaling operations to meet user requirements.
The continued expansion of these initiatives shows io.net‘s progress in building out its decentralized computing infrastructure for AI applications, with particular focus on model deployment, secure staking, and reliable computational resources.
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