io.net, a DePIN project, has integrated Apple’s silicon chip hardware for its machine learning (ML) and artificial intelligence (AI) products. The company shared the news, noting that it was part of its expansion plans.
The move means that ML engineers can leverage io.net to easily roll out thousands of Apple chips in a single cluster. There’s been an AI rave in recent months. And io.net seeks to expand the use of AI by making it easier for more people to access GPU compute options for AI and ML use cases.
io.net Enhances AI with Support for Apple Silicon Chips
Meanwhile, Apple chips integrate CPU, GPU, and an improved Neural Engine onto a single chip. This leads to increased data processing efficiency. And lower latency which AI and ML apps need.
https://t.co/WLXlHkv6f1 harnesses the power of hundreds of millions of consumer Apple Silicon chips to power AI/ML workloads.
Engineers can cluster Apple M1/M2/M3 chips for ML and AI compute from anywhere around the world on https://t.co/WLXlHkv6f1, and users with Apple hardware…
— io.net (@ionet_official) March 13, 2024
Io.net will support top-quality Apple silicon chips, such as:
- M1,
- M1 Max,
- the M1 Pro,
- M1 Ultra; M2,
- M2 Max,
- M2 Pro,
- M2 Ultra.
- M3, M3 Max, and M3 Pro.
Apple’s M3’s memory structure supports up to 128GB. This means it outperforms graphics cards with NVIDIA A100-80GB capacity. In addition, an enhanced neural engine powers the M3 chips. This operates 60% faster than its M1 series.
Apple Silicon Chips are now supported by https://t.co/UgDFVEeOsH. Listen to @angelaywyi discuss the expansion of https://t.co/UgDFVEeOsH's compatibility to support chips across hundreds of millions of Apple products. #iotet #AppleSiliconhttps://t.co/XyMsnBbmIn
— pk.plena (@eorignool) March 11, 2024
Apple’s M3 chips boast a unified memory structure. This makes them suitable for model inference. This involves running real-time data through an AI model to solve problems or provide predictions.
How significant is this?
Reacting to the move, Ahmad Shadid, io.net founder said, “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.”
Io.net allows users to access affordable GPU computing resources for AI and ML applications. It uses Solana to provide rewards for users who provide GPU and CPU capacity to the IO Network.
💠 What is @ionet_official ?https://t.co/ztSJdYmfnv is a blockchain-based network that allows users with unused GPU capacity to provide computing power to AI companies. Simply put, it is a project to provide machines for coin miners.
— Cipher Airdrop (@cipher_airdrop) March 10, 2024
Apple product owners can now easily onboard their devices and earn rewards. In addition, supporting Apple’s silicon chips will provide the IO network with more access and capacity globally. This would enable the network to continue developing the Internet of GPUs to tackle the compute scarcity caused by the ongoing growth in AI and ML.
About io.net
io.net sets up and manages decentralized GPU clusters in the IO Network. The IO Network allows users to access hundreds of thousands of GPUs globally. These GPUs are to meet the growing needs of AI and ML.
