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Gradient Network secures $10 million in seed funding led by Pantera Capital and Multicoin Capital to pioneer decentralized AI infrastructure through innovative protocols Lattica and Parallax.
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The startup aims to leverage peer-to-peer technology to distribute AI computing power across everyday devices, challenging the dominance of centralized data centers.
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Eric Yang, Gradient Network’s co-founder, emphasized, “We believe intelligence should be a public good, not a corporate asset,” underscoring the company’s mission to democratize AI.
Gradient Network raises $10M to develop decentralized AI protocols Lattica and Parallax, enabling distributed computing and enhancing privacy in AI processing.
Gradient Network’s Decentralized AI Vision: Lattica and Parallax Protocols
Gradient Network, a Singapore-based startup, has successfully closed a $10 million seed round led by prominent venture firms Pantera Capital and Multicoin Capital, alongside HSG. The funding will accelerate the development of two groundbreaking protocols—Lattica and Parallax—designed to decentralize AI computation. Unlike traditional AI models that rely heavily on centralized data centers, these protocols enable artificial intelligence to operate across a distributed network of everyday devices such as smartphones and personal computers. This approach not only mitigates the concentration of computational power but also addresses growing concerns surrounding data privacy and corporate control over AI technologies.
How Lattica Enables Peer-to-Peer AI Data Communication
Lattica functions as a peer-to-peer data communication protocol, akin to Bitcoin or BitTorrent, facilitating direct data exchange between devices without routing through central servers. The protocol’s network of “Sentry Nodes” has already demonstrated remarkable scalability, supporting over 1.6 billion peer-to-peer connections across more than 190 regions worldwide. This extensive network forms the backbone for decentralized AI operations, ensuring robust connectivity and resilience. By eliminating centralized bottlenecks, Lattica enhances data security and reduces latency, making it a critical component of Gradient Network’s infrastructure stack.
Parallax: Decentralizing AI Model Computation Across Devices
Parallax addresses the challenge of executing large-scale AI models without relying on massive centralized data centers. The protocol partitions complex AI models into smaller segments that can be processed concurrently across multiple devices within the network. This distributed computation model allows user data to remain local, significantly enhancing privacy by avoiding transmission to third-party servers such as those operated by OpenAI or Amazon. While decentralized systems face inherent challenges like network latency and task coordination complexity, Gradient Network’s technology aims to optimize these factors to deliver efficient and cost-effective AI processing.
Blockchain Integration and Competitive Landscape
Operating on Solana’s blockchain, Gradient Network leverages the platform’s high throughput and low transaction costs to manage coordination and incentivization mechanisms for participating devices. This integration ensures seamless payments and task distribution within the decentralized network. Gradient joins a competitive field of projects focused on decentralizing AI infrastructure, including SingularityNET, Bittensor, and Gensyn, each employing distinct technical frameworks. The company plans to expand its protocol suite beyond Lattica and Parallax, with forthcoming research publications and developer engagement initiatives signaling a commitment to open innovation.
Conclusion
Gradient Network’s successful funding round and launch of Lattica and Parallax mark a significant step toward democratizing AI infrastructure. By harnessing distributed computing power and blockchain technology, the startup offers a viable alternative to centralized AI models, promising enhanced privacy, reduced costs, and increased accessibility. As the decentralized AI ecosystem evolves, Gradient Network’s protocols could play a pivotal role in reshaping how artificial intelligence is developed and deployed globally.
