Skip to content becomes the first cloud provider to embrace Apple silicon chip clustering in machine learning becomes the first cloud provider to embrace Apple silicon chip clustering in machine learning became the first-ever cloud service provider to embrace Apple (NASDAQ: AAPL) silicon chip clustering for machine learning (ML) applications.

This update empowers ML engineers to deploy an array of Apple chips within a single cluster through, a platform known for pushing artificial intelligence (AI) technology by offering accessible and cost-effective graphics processing unit (GPU) compute solutions. and Apple

Apple’s chips, combining CPU, GPU, and an advanced Neural Engine tech, promise lower latency and high-speed data processing to be leveraged by ML and AI applications. not only furnishes GPU and central processing unit (CPU) capacity but also pledges support for an array of powerful and energy-efficient Apple silicon chips, including:

  • M1;
  • M1 Max,;
  • M1 Pro; 
  • M1 Ultra; 
  • M2; 
  • M2 Max;
  • M2 Pro; 
  • M2 Ultra; 
  • and the upcoming M3, M3 Max, M3 Pro, M3 Ultra variants. 

What can do with M3 chips?

The M3 chip’s memory architecture (up to 128GB), outpaces even NVIDIA-A100-80GB graphics cards.

Consequently, hundreds of millions of Apple device users worldwide can now harness Apple chip compute resources for AI/ML purposes, giving engineers the ability to deploy decentralized Apple chip clusters for the first time.

The latest addition to Apple’s chip line, M3, boasts an enhanced Neural Engine surpassing the M1 family’s performance by up to 60%, alongside a unified memory architecture suitable for model inferencing. 

The M3 Max flaunts a staggering 92 billion transistors and a 40-core GPU. Coupled with Apple’s Neural Engine capable of executing up to 18 trillion operations per second, it expedites and efficient execution of machine learning models.


Ahmad Shadid, founder of, expressed elation at this milestone, stating:

“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

With just a few clicks, Apple device  owners can now integrate their devices into the network and become eligible for rewards via’s orchestration layer and managed services.

By embracing Apple’s silicon chips, the io network can harness an even larger number of devices worldwide, promoting the expansion of the Internet of GPUs and addressing the compute scarcity in the rapidly growing AI and machine learning landscape.

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