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Mac mini

From $99
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Mac Studio

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Real computers

Not a virtual machine

Full root control

You can do anything

Unmetered bandwidth

High performance network

Fixed IPv4

IPv6 support too

macOS Sonoma

Installed by default

VNC + SSH

Remote control activated



custom configurations

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Technologies

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macOS and Apple silicon chips are fully optimized for these solutions

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The Mac platform

Learn why the Mac platform is stronger than ever, for security too

36 Million+

Apple developers

1 Billion+

Apple users

23%

Worldwide desktop market share

250 Billion+

Apple cash in the bank
A robust solution

The most advanced operating system

Blazing fast with Apple silicon chips

5-Star Rating

Loved by million of users and developers for the quality of the user experience. Incredible chip performance, always silent even for heavy tasks.

Fully Supported

One major new version of macOS per year with advanced features even for enterprise customers. Full support of the most advanced technologies.

Open & Active

The core of the OS is open source. Hundreds of thousand of projects are available to improve the performance or the level of security.

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Resources

AI inference on Apple silicon

Feedback of developers using the Mac platform

technology

A true alternative

Learn why it's a game changer for AI projects

You can compute up to 1,000 tokens per second with Mojo language. Apple MLX framework is two times faster than PyTorch thanks to the unified memory optimization.

Memory bandwidth

"For those wondering why the M2 Ultra is so fast, or the M1 & M2 series in general, it's because inference's main bottleneck is memory bandwidth, not compute power. And the M2 Ultra has a bandwidth of 800 GB/s which is about 8 times faster than an average modern desktop CPU (dual-channel DDR4-6400 offers a bandwidth of 102 GB/s)."

Large Language Model with PyTorch

"PyTorch now has enough support for the Apple silicon devices that inference even with very large models is blazingly fast".

Stable Diffusion

"In a significant move to advance the capabilities of their machine learning framework, Apple has announced the open-sourcing of Core ML Stable Diffusion XL (SDXL) for its cutting-edge Apple silicon architecture. The new model, which has grown threefold in size, boasting around 2.6 billion parameters, brings a host of powerful features that enhance performance while maintaining efficiency.."

Tutorial CoreML, TensorFlow

"The built-in CPU+GPU system on Apple’s chips is great for machine learning"

...


Learn more about Mojo language   Apple MLX framework for training, deployment

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