Gradient Network, a Singapore-based startup, has announced a $10 million raise to build decentralized AI infrastructure. The investment led by Pantera Capital and Multicoin Capital aims to create two protocols for distributed AI computing.
Gradient's Approach to Decentralized AI
The funding comes amid rising criticism of centralized AI systems raising concerns over data privacy and the immense computing resources required by current models. Gradient's approach represents a shift from cloud services to crowdsourced computing models distributed across devices worldwide.
Functioning of Lattica and Parallax Protocols
Gradient's architecture consists of two protocols designed to work together. Lattica facilitates direct data transfers between devices without routing through centralized servers. The protocol connects devices from over 190 regions, forming a vast network. Parallax addresses the challenge of running resource-intensive models on consumer hardware by segmenting large language models, allowing ordinary devices to contribute processing power.
Future Developments and Launch Plans
Both Lattica and Parallax are set to launch this week, marking Gradient's transition from development to active deployment. The company plans to release additional developer tools and publish research to support broader adoption of decentralized AI infrastructure, optimistic about overcoming technical challenges in distributed computing.
Gradient Network's $10 million funding round signals increasing investor confidence in decentralized alternatives to traditional AI infrastructure. The success of its model may influence the future of AI service delivery.
