io.net has become the first provider to harness the incredible power of Apple’s silicon chips for machine learning applications. By enabling the clustering of thousands of Apple’s processors, io.net is ushering in a new era of accessibility and affordability for artificial intelligence and machine learning.
io.net leads the charge in machine learning innovation
The key to this breakthrough lies in Apple’s latest M3 chip, which packs an astonishing 92 billion transistors and a 40-core GPU that currently outperforms NVIDIA A100-80GB graphics cards. With an enhanced Neural Engine capable of 18 trillion operations per second, the M3 is perfectly suited for deploying and inferencing powerful AI models.
“We are thrilled to be the first cloud service provider to support Apple chips for machine learning, this is a massive step forward in democratizing access to powerful computing resources, and paves the way for millions of Apple users to earn rewards for contributing to the AI revolution.”
—Ahmad Shadid, founder of io.net.
By tapping into the global installed base of over a billion Apple devices, io.net’s “Internet of GPUs” opens the floodgates to a vast new pool of distributed computing resources. Apple owners can now put their idle chips to work with just a few clicks, simultaneously aiding AI development and lining their pockets.
But the M3 is just the beginning. io.net seamlessly supports Apple’s entire current and upcoming silicon lineup, from the M1 through M3 families across their standard, Pro, Max, and Ultra variants. This architectural play allows machine learning engineers to harness the ideal chip for their performance and efficiency needs.
The M3’s memory architecture with up to 128GB capacity gives it an edge over even premium data center GPUs like the A100. Also, with Apple’s Unified Memory and industry-leading power efficiency, the network can deploy incredibly potent yet green AI clusters.
Cost-effective infrastructure as a game-changer for AI development
Such scalable, eco-friendly, and cost-effective infrastructure is a game-changer for AI development. From self-driving cars to protein modeling, the accelerated computing unlocked by io.net could propel breakthroughs across AI’s vast domain.
Corporate machine learning teams can spin up decentralized, geo-distributed clusters on io.net in seconds and at a fraction of typical cloud costs. That democratizing accessibility could level the playing field for AI innovation.
For the Apple faithful, the prospect of cashing in their devices’ dormant potential while aiding transformative technological progress is a tantalizing proposition. By empowering its billion-plus user base, Apple may have unwittingly birthed a grassroots AI supercomputer.
Wrapping up
io.net’s platform upgrade leverages Apple’s silicon chips to revolutionize AI and machine learning. This move empowers engineers and invites Apple users to contribute to the largest decentralized GPU network, blending innovation with community participation.
