The new decentralized physical infrastructure network (DePIN) io.net is integrating Apple silicon chip hardware into its AI and ML services. This Solana-based network leverages GPU computing power from various sources to fuel AI and ML computing.

During the Solana Breakpoint conference in Amsterdam, io.net launched its beta platform alongside a partnership with Render Network. The platform now supports Apple silicon chip clustering for ML applications, allowing engineers worldwide to cluster Apple chips for AI computing.

Io.net offers cost-effective GPU computing resources for AI and ML applications, utilizing Solana’s blockchain for payments to computing providers. With Solana’s infrastructure, io.net can handle the scale of transactions needed for GPU clusters.

The latest upgrade enables users to contribute compute power from a range of Apple Silicon chips, including the advanced M3 chip family built on three-nanometer process technology. Apple’s M3 chips boast a 128-megabyte memory architecture, outperforming Nvidia’s A100-80 gigabyte graphics cards. The M3 chips also feature an enhanced neural engine that is 60% faster than the M1 series.

Io.net founder Ahmad Shadid believes that integrating Apple chip support will democratize access to powerful computing resources and allow Apple users to contribute to the AI revolution. This move opens up the opportunity for millions of Apple product users to provide spare chip resources for AI and ML computing.

This development marks a significant step in advancing AI and ML computing resources and rewards users for participating in the AI revolution.

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