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io.net and Theoriq Form Strategic Partnership to Accelerate AI Decentralization

Published 07/16/2024, 01:53 PM
Updated 07/16/2024, 02:30 PM
io.net and Theoriq Form Strategic Partnership to Accelerate AI Decentralization

New York, United States, July 16th, 2024, Chainwire

GPU cloud network io.net has announced a partnership with modular AI platform Theoriq io.net. The collaboration will enable AI builders to access decentralized infrastructure using Theoriq’s protocol.

The strategic partnership will leverage io.net's GPU network to enhance the performance and scalability of Theoriq blockchain applications. By integrating Theoriq's modular protocol of autonomous agents with io.net's scalable GPU clusters, blockchain-based AI functionality will be significantly enhanced.

Theoriq will harness io.net's ability to aggregate GPUs from multiple sources to create a vast pool of computational resources. As a result, Theoriq's AI developer community will be able to seamlessly access these powerful GPU resources directly within their development environment.

The collaboration between Theoriq and io.net will yield a number of benefits for blockchain developers. These include greater cost efficiency through accessing computational power significantly cheaper than traditional cloud services. Developers will also be able to swiftly scale computational resources to meet the needs of large-scale AI models.

Theoriq CEO Ron Bodkin said: "We are excited to partner with io.net to provide high-quality GPU compute to power AI agents that run on our protocol. io.netʼs decentralized compute infrastructure will help us further grow the community of AI developers and bring our vision of fully decentralized and community-governed AI to life.”

Because io.net's computational resources are distributed globally, builders in Theoriq’s community can process machine learning tasks closer to data sources. This proximity significantly reduces latency, which is crucial for AI use cases requiring real-time processing. Developers can select from a variety of GPU options and configure clusters according to specific requirements of different AI tasks, from training deep learning models to running complex simulations.

io.net’s compute infrastructure will power the AI Agent Collective developed by VictoryChain and Fan Controlled Sports Entertainment (FCSE) on Theoriq’s protocol. By providing insights into the community sentiment, the FCSE Agent Collective will enable users to make data-driven decisions and call their plays strategically.

Combining a fully decentralized compute network with Theoriq’s decentralized AI Agent protocol will enhance the FCSE fan experience by leveraging communities and conversations through sophisticated sentiment and data analysis. Fans will benefit from the wisdom of the crowd and gain deeper insights into FCSE games, ensuring fans are more informed and engaged than ever.

About io.net

io.net is a decentralized physical infrastructure network (DePIN) that deploys and manages on-demand, decentralized GPU clusters from geo-distributed sources. Hundreds of thousands of GPUs are accessible today in IO Network, and this Internet of GPUs is specifically architected for low latency, high processing demand use cases like AI/ML ops and cloud gaming. io.net democratizes access to GPU compute capacity while reducing costs, expediting lead times, and expanding choice for engineers and businesses. Access compute capacity for a fraction of the cost or become a capacity supplier at https://www.io.net.

Website | Documentation | Twitter | Discord | Telegram | LinkedIn

About Theoriq

Theoriq is a platform for limitless AI innovation built on the principles of composability, extensibility, and community-driven governance. The principles of transparency and adaptability are central to its ethos. Theoriq does not presume which branch of the evolutionary tree leads to the most beneficial AI; rather, it strives to nurture the evolution itself.

Learn more: https://www.theoriq.ai/

ContactDan EdelsteinPR@marketacross.com

This article was originally published on Chainwire

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