IO Intelligence Platform Launched, Integrating 25 Open Source AI Models

By Coincu
26 days ago
AI IO VEC READ RWD
IO Intelligence Platform Launched, Integrating 25 Open Source AI Models

Key Points:

  • Solana-based DePIN project io.net introduces IO Intelligence, combining Vector Database as a Service with AI models.
  • The platform simplifies AI integration with user-friendly APIs and a distributed execution system with secure local data processing and scalable cloud-based model training.

Solana-based DePIN protocol io.net has introduced IO Intelligence, a new platform that integrates Vector Database as a Service with up to five intelligent agents and 25 open-source AI models.

Read more: Io.net’s Ignition Rewards Program Now Opens Claim Website For Users 

io.net Launches IO Intelligence With DeepSeek Integration

Designed for ease of use and high performance, IO Intelligence enables real-time analysis without requiring developers to navigate complex configurations or write extensive code. Integrated models include DeepSeek, Meta Llama, and Mistral.

IO Intelligence is based on a distributed execution architecture. The structure ensures that privacy-sensitive tasks, such as data preprocessing and compliance checks, are handled locally, while computationally intensive processes like model inference and training are scaled in the cloud.

The distributed execution architecture also enhances both security and efficiency, allowing applications, agents, and services built on the platform to deliver insights more quickly and reliably.

Driving Decentralized Infrastructure with GPU Aggregation

io.net is a Decentralized Physical Infrastructure Network (DePIN) project within the Solana ecosystem. By introducing IO Intelligence, io.net aims to advance the accessibility and efficiency of AI-driven solutions with its role in decentralized computing and infrastructure development.

DePIN refers to efforts aimed at decentralizing physical infrastructure using blockchain technology. io.net focuses on aggregating GPU resources to provide cost-effective computing power for artificial intelligence (AI) and machine learning (ML) applications.

Read original article on coincu.com
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