Decentralized Network Gensyn Challenges Traditional Cloud Services, Eyes on Apple Silicon Chips
Summary:
Gensyn, a decentralized network that connects devices across the web for machine learning model training, is aiming to challenge traditional services such as Amazon Web Services. Co-founder Harry Grieve discussed the potential of peer-to-peer computing networks at the ETHGlobal event in London. The company, which raised $50 million from Andreessen Horowitz in 2023, focuses on solving a threefold problem with blockchain technology. It's inspired by the Bitcoin protocol and plans to create a network that directly rewards its participants. The initial launch will focus on users with Graphic Processing Units, with future plans to expand. Gensyn may also tap into Apple Silicon chips to bolster its computing resources.
The growing interest in artificial intelligence (AI) and machine learning (ML) has resulted in a scarcity of hardware resources and soaring costs for cloud services, which may be addressed by decentralized infrastructure, breaking the reliance on centralized solutions. Exclusive discussions with Gensyn's co-founder, Harry Grieve, at the ETHGlobal event in London, revealed the potential of peer-to-peer computing networks as competitors to traditional online services such as Amazon Web Services. Gensyn, a startup that is developing a decentralized network which allows people to connect with numerous internet devices for training machine learning models, got the backing of multiple Web3 venture capitalists and secured a $50 million investment from Andreessen Horowitz in 2023. According to Grieve, the network possesses enormous potential as the internet evolves into a dynamic information platform bolstering online self-governance and computational freedom.
Since 2020, Grieve and his partner Ben Fielding have been working on the Gensyn project, focusing their research on machine learning computing for training and decentralized verifiable systems. The duo aimed to tackle a three-part problem with blockchain-based technology. Their litepaper identifies the protocol as a layer-1 trustless mechanism designed for intense learning computations. This network awards participants directly and instantaneously for supplying the network with computing resources and executing ML tasks. Building this network presents challenges, chiefly in the verification of completed ML tasks, which intersect with complexity theory, game theory, cryptography, and optimization.
The Bitcoin protocol heavily inspires Gensyn. Grieve strongly adheres to the early Bitcoin mining phase, narrating that it accorded people the control over their finances by transforming electricity into money. As for Gensyn, its ultimate aim transcends beyond enabling just GPU users; it seeks to aid a broad user base and myriad hardware to supply or utilize computing resources for ML training. However, the initial roll-out would predominantly cater to GPU users to secure rapid and extensive feedback.
Apple Silicon chips promise to unlock an immense computing capacity worldwide. Grieve mentioned that studies on Apple's M2 and M3 chips indicate that they are on par with current-generation, mid-tier Nvidia RTX GPUs. This opens up two significant possibilities for Gensyn, as it could mobilise a wide array of devices to contribute to its global supercluster. Moreover, Apple Silicon chips are known for their versatility as they function like a "system on a chip" that could be reproduced by other manufacturers.
Just like Gensyn, the Solana-based decentralized network io.net aims to utilize Apple Silicon hardware for its artificial intelligence (AI) and machine learning (ML) services.
Published At
3/22/2024 2:09:42 PM
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