io.net adds Apple chip support to cloud GPU network

Io.net, a decentralized physical infrastructure network, has announced that it will integrate Apple silicon chip hardware into its artificial intelligence (AI) and machine learning (ML) services. Io.net has developed a decentralized network on the Solana blockchain that leverages computing power from various sources such as data centers, cryptocurrency miners, and decentralized storage providers to support AI and ML computing. The company revealed its beta platform at the Solana Breakpoint conference in November 2023 and has partnered with Render Network. With this upgrade, io.net becomes the first cloud service to offer support for Apple silicon chip clustering for ML applications, allowing engineers to cluster Apple chips for computing tasks from anywhere in the world.

Previously covered by , io.net offers affordable GPU computing resources for AI and ML applications. The platform utilizes Solana’s blockchain for payment transactions to GPU and CPU computing providers. According to Tory Green, io.net’s COO, Solana’s infrastructure is well-suited to handle the scale of transactions and inferences required by the platform. The infrastructure sources GPU computing power in clusters, which involve numerous inferences and microtransactions to access the hardware. This new upgrade enables io.net users to contribute compute power from a variety of Apple Silicon chips, including the M1, M1 Max, M1 Pro, M1 Ultra, M2, M2 Max, M2 Pro, M2 Ultra, M3, M3 Max, and M3 Pro models.

Io.net highlights that Apple’s M3 chips surpass Nvidia’s flagship A100-80GB graphics cards in terms of their 128-megabyte memory architecture. The M3 chips are equipped with an enhanced neural engine that is 60% faster than the M1 series. Their unified memory architecture makes them suitable for model inference, the process of running live data through an AI model to make predictions or solve tasks. Ahmad Shadid, the founder of io.net, believes that the integration of Apple chip support will help meet the increasing demand for AI and ML computing resources and democratize access to powerful computing for millions of Apple users. This addition allows Apple product users to contribute their spare chip and computing resources to support AI and ML applications.

Adam Lefevre

Adam Lefevre

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