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SubQuery Launches Decentralized AI Inference Internet hosting at Web3 Summit in Berlin – CoinJournal

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Singapore, Singapore, August twenty first, 2024, Chainwire

On the Web3 Summit in Berlin at present, SubQuery made a serious announcement, unveiling its latest innovation: decentralized AI inference internet hosting. In a reside demonstration, SubQuery’s COO, James Bayly, showcased how the most recent LLama mannequin operates throughout a completely decentralized community of Node Operators on SubQuery’s inner check community.

SubQuery’s imaginative and prescient is to empower builders to form the long run via decentralization. The corporate is on the forefront of a motion to construct the subsequent wave of Web3 functions for hundreds of thousands of customers, with decentralization because the core precept.

The SubQuery Community is a sophisticated infrastructure layer that underpins this imaginative and prescient. It at present helps decentralized knowledge indexers and RPCs, that are vital parts for any developer constructing decentralized functions (dApps). SubQuery has confirmed itself as a reputable different to centralized companies, providing an open community the place anybody can take part as a node operator or delegator.

The function of AI in remodeling industries, together with Web3, has turn out to be more and more clear. SubQuery has been intently monitoring these developments and has been working behind the scenes to deliver AI capabilities to its decentralized platform. “The Web3 Summit in Berlin, with its focus on decentralization, is the perfect stage for us to launch this new capability and demonstrate it live” mentioned James Bayly.

SubQuery is concentrated on AI inference, the method of utilizing pre-trained fashions to make predictions on new knowledge, fairly than on mannequin coaching. “While there are commercial services that offer inference hosting for custom models, few exist within the Web3 space,” James defined. “Our decentralized network is ideally suited for reliable, long-term AI model hosting.”

At present, the marketplace for AI inference is dominated by massive centralized cloud suppliers who cost excessive charges and infrequently use consumer knowledge to enhance their proprietary fashions. “Providers like OpenAI and Google Cloud AI are not only expensive but also leverage your data to enhance their closed-source offerings,” James famous. SubQuery is dedicated to offering an reasonably priced, open-source different for internet hosting manufacturing AI fashions. “Our goal is to make it possible for users to deploy a production-ready LLM model through our network in just 10 minutes,” he added.

“Relying on closed-source AI models risks consolidating power in the hands of a few large corporations, creating a cycle that perpetuates their dominance,” James warned. “By running AI inference on a decentralized network, we ensure that no single entity can control or exploit user data. Prompts are distributed across hundreds of node operators, ensuring privacy and supporting an open-source ecosystem.”

The SubQuery Community will present modern internet hosting for the most recent open-source AI fashions, enabling scalable and accessible AI companies for Web3. By embracing a community-driven strategy, SubQuery will assist decentralized AI inference at scale, empowering a various community of unbiased Node Operators.

About SubQuery

SubQuery Community is innovating web3 infrastructure with instruments that empower builders to decentralise the long run – with out compromise. Our versatile DePIN infrastructure community powers the quickest knowledge indexers, probably the most scalable RPCs, modern Knowledge Nodes, and main open-source AI fashions. We’re the roots of the web3 panorama, serving to blockchain builders and their cutting-edge functions to flourish. We’re not only a firm – we’re a motion driving an inclusive and decentralised web3 period. Let’s form the way forward for web3, collectively.

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Contact

Head of Advertising and marketing
Brittany Seales
SubQuery PTE LTD
[email protected]

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