io.net, a graphics processing unit (GPU)-powered compute network, has partnered up with Zero1 Labs, a decentralized artificial intelligence (DeAI) platform, based on the latest reports submitted to Finbold on Tuesday, November 19.

With new joint efforts, the two partners hope to streamline the development of DeAI solutions and democratize advanced computational resources.  

Zero1 Labs’ Keymaker marketplace

As part of the collaboration, Zero1 Labs will rely on io.net’s GPU compute infrastructure to speed up AI agent training for Keymaker, an open marketplace with over 100 AI tools. 

Thanks to the wide range of DeAI application use cases, Keymaker is becoming a go-to platform for developers working on cutting-edge on-chain AI solutions.  

Zero1 Labs also operates an inclusive Proof-of-Stake (PoS) framework that caters to developers and end-users alike. 

The framework is powered by the Cypher FHE-EVM (Fully Homomorphic Encryption, Ethereum Virtual Machine) Layer, which ensures security and privacy. 

By leveraging io.net’s scalable GPU clusters, Zero1 Labs can thus offer robust tools to create and optimize decentralized AI applications with unprecedented efficiency.  

AI agents in Web3

The partnership will be most significant for Web3 developers exploring AI agents, autonomous systems with the potential to improve multichain trading strategies by automating some of the more complex processes. 

With io.net’s GPU power and Zero1 Labs’ AI tools, AI agents can be trained and deployed faster and at a lower cost.  

Upcoming io.net and Zero1 Labs initiatives

io.net and Zero1 Labs have also announced some upcoming initiatives such as hackathons and bounty programs to inspire developers to work on new solutions in decentralized AI.  

Additionally, the two partners will engage in a strategic exchange of resources to give projects within Zero1’s DeAI ecosystem access to io.net’s advanced GPU infrastructure. 

The post io.net joins Zero1 Labs to advance decentralized artificial intelligence   appeared first on Finbold.

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